Jobs Data Scientist

About the Role

Trialt is expanding its Statistical Programming team to support international Phase I-IV clinical trials across a range of therapeutic areas. Our programmers work on projects for pharmaceutical, biotechnology, medical device and CRO clients across the US and Europe. Depending on the project and individual experience, you may join a client-dedicated assignment or work within a full-service biometrics team. Project assignments are based on your experience, expertise and current business needs.

What You Will Do

• Lead statistical programming activities across one or more clinical studies.

• Oversee the development and validation of SDTM, ADaM and TLF deliverables.

• Plan programming work, estimate timelines and coordinate task allocation.

• Review complex deliverables and ensure compliance with project, CDISC and regulatory requirements.

• Maintain traceability from source data through SDTM and ADaM to final statistical outputs.

• Support the preparation and review of Define-XML, aCRF, SDRG, ADRG and validation reports.

• Investigate and resolve complex programming, data and submission-readiness issues.

• Lead client-facing meetings and technical discussions.

• Monitor project quality, timelines, risks and programming status.

• Mentor programmers and provide technical leadership.

• Collaborate closely with biostatistics, data management, medical writing and project management teams.

Required Qualifications

• Extensive statistical programming experience within clinical research.

• Advanced SAS programming skills and strong knowledge of CDISC SDTM and ADaM standards.

• Extensive experience producing and independently reviewing SDTM, ADaM and TLF deliverables.

• Experience leading programming activities at study or project level.

• Strong understanding of regulatory submission requirements and end-to-end traceability.

• Experience reviewing submission documentation and resolving Pinnacle 21 findings.

• Ability to plan work, estimate timelines, oversee quality and manage programming risks.

• Strong client-facing communication and technical leadership skills.

• Ability to mentor programmers and make independent technical decisions.

• English at Upper-Intermediate level or higher.

About the Role

Trialt is expanding its Statistical Programming team to support international Phase I-IV clinical trials across a range of therapeutic areas. Our programmers work on projects for pharmaceutical, biotechnology, medical device and CRO clients across the US and Europe. Depending on the project and individual experience, you may join a client-dedicated assignment or work within a full-service biometrics team. Project assignments are based on your experience, expertise and current business needs.

What You Will Do

• Independently develop and validate SDTM and ADaM datasets.

• Produce and QC complex tables, listings and figures.

• Interpret protocols, SAPs, dataset specifications and mock shells.

• Take ownership of programming activities for an assigned study or workstream.

• Review deliverables produced by other programmers and provide technical guidance.

• Investigate data issues, SAS log findings and validation findings.

• Support submission deliverables and study documentation.

• Estimate tasks, monitor timelines and communicate project status.

• Participate in client meetings and technical discussions.

• Collaborate with biostatisticians, data managers, medical writers and project teams.

Required Qualifications

• Solid statistical programming experience within clinical research.

• Strong SAS programming skills, including DATA Step, PROC SQL and SAS Macro Language.

• Hands-on experience with SDTM, ADaM and TLF production and QC.

• Strong working knowledge of CDISC standards and controlled terminology.

• Understanding of traceability from source data through SDTM and ADaM to statistical outputs.

• Ability to work independently with protocols, SAPs, specifications and study documentation.

• Ability to manage programming activities for an assigned study or workstream.

• Strong communication, organisation and problem-solving skills.

• English at Upper-Intermediate level or higher.

Strong Pluses

• Previous experience as a Lead Programmer or readiness to take programming ownership.

• Experience with Define-XML, aCRF, SDRG and ADRG.

• Experience using Pinnacle 21 or similar validation tools.

• Experience supporting regulatory submissions.

• Experience with R or Python.

• Previous experience in an international CRO, FSP or sponsor environment.

Working Model

• Fully remote position.

• Full-time engagement.

• Long-term cooperation.

We are the creators of a new fintech era!

Our mission is to revolutionize the world by making blockchain technology accessible to everyone in everyday life. WhiteBIT is a global team of more than 1,500 professionals united by a shared vision of shaping the future.

We are building our own blockchain ecosystem to ensure maximum transparency and security for over 8 million users worldwide. Our cutting-edge solutions, rapid adaptation to market challenges, and technological excellence set us apart from traditional companies.

Our official partners include Juventus, FC Barcelona, Lifecell, FACEIT, and VISA.

Join us as a Head of Data & Business Intelligence. 

Requirements:

- 8+ years of experience in Data Analytics, Business Intelligence, Management Reporting, Data Governance, or a related field.

- At least 3 years of experience leading a Data, BI, or Analytics team.

- Demonstrated experience building a Data/BI function from scratch or leading a substantial transformation of one; experience only maintaining a mature function is not sufficient for this mandate.

- Experience in an international, multi-entity, multi-business, or multi-project organization with complex stakeholder and reporting needs.

- Proven experience developing executive dashboards, management reporting, KPI architectures, metrics governance, and business-performance analysis.

- Strong understanding of financial and commercial metrics, including revenue, margin, contribution margin, CAC, LTV, churn, ARPU, conversion, and unit economics.

- Hands-on experience with Power BI, Tableau, Looker, or comparable BI platforms.

- Strong working knowledge of SQL, data modelling, semantic layers, data warehouses, data marts, and data-integration principles.

- Experience establishing data-quality controls, data catalogues, data ownership, and governance practices.

- Experience supporting forecasting, pricing, investment analysis, market-entry decisions, or scenario modelling is highly desirable.

- Ability to translate ambiguous business questions into scalable analytical solutions and communicate complex findings in clear business language.

- Strong systems thinking, commercial judgement, prioritization, stakeholder management, and influencing skills; confidence to challenge inconsistent assumptions and unsupported conclusions.

- Track record of building teams and capabilities in an environment of high ambiguity and evolving priorities.

- Bachelor’s degree in Data Analytics, Computer Science, Economics, Finance, Mathematics, Statistics, Business Administration, or a related field; relevant professional qualifications are an advantage.

Responsibilities:

- Build the Data & BI function from scratch: define its target operating model, team structure, roles, governance, processes, priorities, service model, and development roadmap.

- Recruit, lead, and develop the Data & BI team; manage capacity, performance, capability development, and delivery commitments.

- Create and maintain a Group-wide metrics framework and dictionary covering definitions, formulas, owners, official sources, refresh frequency, and approval status.

- Design the KPI architecture and KPI trees for the Group, businesses, projects, functions, and locations.

- Establish a single source of truth for management reporting and define the official systems, semantic models, and analytical data layers used for decision-making.

- Deliver scalable executive and management reporting, priority dashboards, and analytical solutions covering financial, commercial, growth, operational, location, and risk performance.

- Establish data-quality rules, monitoring routines, issue ownership, and escalation processes; coordinate resolution of inconsistencies with business and system owners.

- Reduce recurring manual and duplicated reporting through standardization, automation, and reusable analytical products.

- Translate strategic and operational business questions into clear analysis, scenario models, forecasts, and decision-ready recommendations.

- Define functional requirements for BI tools, data warehouses, data marts, semantic layers, and integrations in cooperation with technology teams.

- Enable responsible self-service analytics through standardized dashboards, documentation, training, access principles, and data-literacy initiatives.

- Develop practical standards for experiment measurement and ensure that analytical conclusions are supported by documented data and methodology.

- Prioritize analytical demand based on business value, urgency, data readiness, and available capacity; monitor adoption, reliability, and value of Data & BI products.

Working terms

Immerse yourself in Crypto & Web3:

• Master cutting-edge technologies and become an expert in the most innovative industry.

Work with the Fintech of the Future:

• Develop your skills in digital finance and shape the global market.

Take Your Professionalism to the Next Level:

• Gain unique experience and be part of global transformations.

Drive Innovations:

• Influence the industry and contribute to groundbreaking solutions.

Join a Strong Team:

• Collaborate with top experts worldwide and grow alongside the best.

Work-Life Balance & Well-being:

• Modern equipment.
• Comfortable working conditions, and an inspiring environment to help you thrive.
• 22 business days of paid leave.
• Additional days off for national holidays.
• Health insurance.

The product that needs your engagement:

Mobion & OnTaxi

Our mission is to propel the success of global ride-hailing companies by delivering intelligent, scalable SaaS solutions. Since 2016, we have optimized operations, enhanced user experience, and driven profitability with powerful analytics, intuitive interfaces, and flexible customization. With deep industry expertise and cutting-edge technology, we provide the agility and insights needed to thrive in any market, empowering businesses to adapt and grow in a fast-changing environment.

Technical stack: Python, Strong SQL, Kubeflow, MLflow, ETL.

Your future team of professionals:

You will be part of the Mobion product Data & Research team and work with highly motivated professionals who are passionate about the project. You will collaborate with engineers, product managers and analysts.

Your future challenges:

Design, launch and continuously improve ML-based dynamic pricing algorithms for a real-time marketplace.

Impact you will make:

— Development of machine learning models: Building and supporting models for pricing, demand forecasting, routing and analyzing customer behavior

— Data Science: Work with large volumes of data to uncover hidden dependencies and anomalies

— Deploying models to production: Collaborate with engineers to integrate models into the system

— Model monitoring and optimization: Constantly monitoring model latency, scalability, and implement versioning strategy

— Working with Business Teams: Collaborate with product managers and other teams to integrate models into the decision-making process

— A/B Testing and Model Evaluation: Analyze the results of experiments to improve the product

— Own the full lifecycle of ML solutions, from hypothesis and experimentation to production rollout and business impact measurement

Skills we are looking for:

— 4+ years of experience in data science

— Proven experience developing ML models for Surge Pricing, Demand Forecasting, or similar high-load, real-time prediction systems

— Experience working with time-series, geospatial data, and dynamic pricing algorithms is a strong plus

— Experience with Python (statistical and ML packages) and Spark

— Expert knowledge in SQL

— Knowledge of mathematical and applied statistics, probability theory, regression analysis

— Experience with ML tools: Kubeflow, MLflow, and ETL tools

— Experience in data preparation, feature engineering, and model evaluation.

— Git and Gitflow Workflow knowledge

— Successful experience in developing and implementing DS solutions into a product that led to improved business results

— English Upper-Intermediate or higher

Additional skills we would appreciate:

— Familiarity with mobility, logistics, or transportation data and KPIs (ETA predictions, surge pricing, driver utilization)

Benefits you get

Maintain your work-life balance

• Take control of your workday with our flexible schedule.
• 19 days of annual vacation granted on a pro-rata basis.
• No overtime required.

Hybrid/remote type of cooperation

Whether you prefer to work remotely in the comfort of your home office or from one of our 4 offices, you can help promote the global visibility of exceptional Ukrainian products from anywhere in the world.

Stay healthy

• Comprehensive medical insurance from a leading Ukrainian provider, including a wide range of services and special programs for relatives, and special options for those who live abroad.
• 15 working days of sick leave per year — because your health is our priority.

Grow with us

• In-house English courses to increase your proficiency through our online courses and speaking clubs with a native speaker.
• Online learning activities, including workshops, lectures, and webinars to enhance your leadership, management, and self-awareness skills.
• Experience exchange with our team of professionals who eagerly share their deep expertise across various fields.
• Opportunities for promotions, rotations, and transitions when you believe your skills could benefit a different role or team.

Stand with Ukraine!

We have an active pro-Ukrainian position! This means that we help our army, our servicemen, and their families not only through constant donations and volunteering but also through our military leave policy, special health insurance options, and financial assistance.

We are a perfect match if you share our values

We are professionals in our field.

We know how to turn up our professionalism to the maximum, because we are experts who enjoy solving complex tasks.

We know how to focus on the product, think big, and at the same time delve deep into the details.

We create a calm and friendly atmosphere within the company.

We value the freedom of open and transparent communications.

Radical honesty is embedded in the foundation of our culture.

We are open to new things and constantly develop and practice regular knowledge sharing, which helps us evolve continuously.

Most importantly, the company creates an environment where we can fulfill our potential upon a solid foundation.

Our Hiring process

• CV screening
• Test Task
• Recruiting interview
• Technical interview
• Offer call

We strive to ensure transparency and openness in the hiring process, and we understand the importance of providing timely feedback. If your resume meets the job requirements, we will contact you to clarify details and schedule an interview within 2 weeks after your application is submitted.
The timeframe for feedback between interview stages may take up to 2 weeks.

Interview process: Hr call 30min, 1 intro call + 1 technical interview (1 hour)
Location EU
Timezone: CET
English: C1 ideally
 

Critical Note
 This role is for an Architect, not a Data Engineer. Candidates who have only implemented pipelines without owning end-to-end architecture decisions will not be considered — this is explicitly called out multiple times by the client.
 

Project Overview
 Client needs a Data Architect to take ownership of an existing, complex, partially problematic Azure data platform — assess it quickly, separate tactical fixes from long-term architecture, and produce implementation-ready recommendations that engineering teams can act on immediately.
 

What You'll Do
Design, build, and optimize scalable data architectures on Databricks + Azure
Own end-to-end architecture decisions — not just implement pipelines
Assess an existing, incompletely documented platform and deliver concrete, actionable output within the first 1–2 weeks
Design scalable, reusable, metadata/configuration-driven ingestion frameworks (multiple databases, APIs, file-based sources)
Work hands-on with Azure Cosmos DB — data modeling, partition-key strategy, indexing, RU/throughput optimization, scaling, consistency, Change Feed
Work across Synapse workload patterns: Pipelines, Spark, Serverless SQL, Dedicated SQL Pools
Handle genuinely unstructured data — documents, PDFs, scans, free text, images, emails (real examples required, not theoretical)
Make technology-neutral architecture calls — comfortable concluding Databricks/Synapse/ADF may NOT be the right fit if scale/cost/requirements don't justify it
Separate and progress tactical stabilization vs. long-term target architecture in parallel
Produce clear architecture documentation, diagrams, and technical recommendations for engineering teams
Collaborate with engineering, analytics, and business stakeholders; mentor junior team members
 

Must-Have Requirements
Architecture ownership — proven, concrete examples of personally designing/owning a data platform architecture (not just pipeline implementation)
Azure — hands-on, recent (not years-old), 4+ years minimum. Azure DevOps usage alone does NOT count as Azure cloud experience
Databricks — must have real hands-on experience
Azure Cosmos DB — must have hands-on experience (scaling, partitioning, RU optimization, advanced design decisions) — this is one of the most heavily emphasized requirements in the entire brief
Azure Synapse — depth across multiple workload patterns, not surface-level exposure
Unstructured data — proven, real examples (not just structured/relational data experience)
Metadata/configuration-driven ingestion — must be able to explain a reusable ingestion framework design in depth
Existing platform modernization — concrete example of inheriting a problematic platform and improving it
Python, SQL, ETL/ELT
Strong data modeling (fact tables, dimensional/star schemas)
Batch + incremental processing/refresh
Strong communication with both technical and business stakeholders
CV must contain clear, detailed hands-on Azure experience — vague CVs will result in automatic rejection

Nice to Have
Future-oriented thinking on AI / natural-language querying of enterprise data
Experience with legislation/regulated data platforms (client referenced a similar past project: legislation data platform on Azure Synapse — XML/API pipelines, medallion architecture)
 

Interview Prep Note (for candidate)
 Client wants 2–3 strong real project examples structured as: Problem → options considered → personal decision → why → implementation → result. Expect deep technical probing on Cosmos DB and Synapse specifically, plus a scenario where Databricks is deliberately removed from the discussion to test technology-neutral thinking.

Our team is seeking a Data Solution Architect to further strengthen our capabilities.

Responsibilities

• Work closely with business in identifying solution requirements and key case-studies/scenarios to architect Data solution
• Participate in Data and Big Data initiatives on a company level
• Design Data analytics solutions by utilizing the Data technology stack with Big Data techniques
• Conduct solution architecture review/audit, calculate and present ROI
• Create and present solution architecture documents with deep technical details to customer and implementation teams
• Participate in specific “pre-sale” activities related to available experience and practice in order to prepare technical proposals on customer requests
• Lead implementation of the solutions from establishing project requirements and goals to solution "go-live"
• Maintain a strong understanding of technical solutions and architecture design trends and best practices, stay on cutting edge of Data technologies
• Constantly grow expertise by gathering and monitoring available EPAM project experience and ongoing projects with clients from different business domains to drive further EPAM business in Data field
• Create and follow personal education plan in the technology stack and solution architecture
• Share experience, knowledge and vision with EPAM, colleagues and customer teams. Participate in seminars, meet ups, mentoring, training programs. Prepare white papers and presentations

Requirements

• Strong ‘hands-on’ experience as a Data Architect with design/development background with Java, Scala, or Python
• Architecture experience and practice in Data Management, Data Storage, Data Visualization, Disaster Recovery, Integration, Operation and Security
• Experience with building traditional Cloud Data Warehouses, Data Lakes
• Knowledge of high load and IoT Data Platform architectures and infrastructures
• Wide experience in analysis, design, implementation, deployment as well as troubleshooting and rebuilding distributed Linux based platforms and Big Data solutions on premises and in Cloud
• Strong Cloud experience in at least one of the Cloud providers (AWS, Azure, GCP)
• Solid experience in continuous delivery tools and technologies
• Broad experience with Containers and Resource Management systems: Docker, Mesos, Kubernetes/OpenShift, Yarn
• Able to deliver Data Analytics projects and architecture guidelines
• Strong in research, comparison, and selection of tools / technologies / approaches to be used
• Practical experience in performance tuning and optimization, bottleneck problem analysis
• Strong communication skills, experienced in team coordination skills and solution implementation supervision
• Good in Agile development methodology, Scrum in particular
• Solid skills in business analysis, network/stack architecture, troubleshooting, support
• Fluent English

About the position

We are looking for a Middle Data Science / Computer Vision Engineer to join a team developing autonomous UAV capabilities for challenging operating environments, including scenarios with limited or unavailable GNSS and operator connectivity.

The role is focused on Computer Vision and Machine Learning for real-world autonomous systems. You will work on algorithms for optical navigation, object detection and tracking, and other perception tasks, with a strong emphasis on deployment to onboard computing platforms and validation in simulation, on the bench, and during flight tests.

We are looking for an engineer who is comfortable working beyond the model itself - analyzing system behavior, investigating test results, identifying root causes, and turning prototypes into reliable solutions that can operate on real UAV platforms.

Must have skills:

• Middle-level experience: approximately 2+ years of practical Data Science / Machine Learning experience with Computer Vision as the primary specialization
• Strong Python skills
• Hands-on experience with PyTorch and/or TensorFlow
• Hands-on OpenCV experience
• Good understanding of modern CNN- and Transformer-based CV architectures
• Practical experience in several of the following areas: object detection, object tracking, classification, segmentation, feature extraction/matching, image registration, motion estimation
• Understanding of Computer Vision geometry: camera models, coordinate systems, camera calibration, transformations, and projective geometry
• Good foundation in linear algebra, probability, and statistics
• Experience with Linux, Git, and sound software engineering practices
• Ability to work with imperfect real-world data collected from field systems and flight tests
• At least an Upper-Intermediate level of English (spoken and written)

Your tasks will include:

• Develop and improve Computer Vision algorithms for UAV applications
• Develop object detection, classification, and tracking algorithms
• Work on optical navigation, Visual Odometry / Visual-Inertial Odometry, feature matching, image registration, and visual localization
• Train, fine-tune, and evaluate models using proprietary datasets
• Build and optimize real-time CV pipelines
• Optimize inference for edge platforms with limited compute resources
• Integrate DS/CV components with navigation, flight controllers, telemetry, and guidance logic
• Participate in simulation, bench, and flight testing
• Analyze failed tests and algorithm degradation, and improve robustness

We offer:

• Delivering high-end software projects that address real-world problems
• Surrounding experts who are ready to move forward professionally
• Professional growth plan and team leader support
• Taking ownership of R&D and socially significant projects
• Participation in worldwide tech conferences and competitions
• Taking part in regular educational activities
• Being a part of a multicultural company with a fun and lighthearted atmosphere
• Working from anywhere with flexible working hours
• Paid vacation and sick leave days

About the client

Our client is a leading European online car marketplace, connecting car buyers and sellers across the continent. The platform serves over 30 million monthly users and operates across 18 countries, making it one of the largest and most trusted digital marketplaces for vehicles in Europe.

About the role

As a Senior Data Scientist, you will be a key contributor within the client's global Data Science organization, shaping the AI and machine learning systems that sit at the core of marketplace platforms across Europe and Canada. You will design, build, and operate machine learning and GenAI systems that run in production and matter to the business — working on complex, ambiguous problems, exercising strong technical judgment, and taking responsibility for outcomes, not just models.

While this is a hands-on role, you will also influence technical direction, raise the bar for engineering practices, and enable other data scientists and engineers to succeed.

Responsibilities:

• Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvement.
• Make sound architectural and methodological decisions for ML systems on AWS, balancing robustness, observability, cost, and long-term maintainability.
• Partner closely with Product, Engineering, and Business leaders to turn ambiguous problems into ML-enabled product solutions with clear outcomes.
• Operate and evolve ML systems deployed across multiple countries and markets, accounting for differences in data distributions, regulations, and constraints.
• Mentor other data scientists through hands-on technical guidance, design reviews, and shared ownership of systems.
• Raise the bar for engineering practices across the Data Science organization and influence technical direction beyond your own projects.

Requirements:

• 5+ years of experience building and owning production ML systems end-to-end in a real-world environment.
• Advanced degree in Computer Science, Engineering, Mathematics, or a comparable field.
• Strong hands-on expertise in Python and modern ML frameworks, with the ability to ship, operate, and evolve ML systems in production.
• Solid experience with AWS and MLOps practices, including deployment, monitoring, and operating ML systems at scale.
• Practical experience applying GenAI / LLMs in applied or production contexts, with a clear understanding of trade-offs and limitations.
• Ability to influence technical decisions through clear judgment and collaboration, not formal authority.
• Experience supporting and guiding more junior data scientists through hands-on collaboration, code reviews, and technical feedback.
• Strong sense of ownership and accountability for outcomes, with a pragmatic approach to trade-offs and delivery.
• Excellent verbal and written English skills.

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

We are looking for a Senior Data Scientist to join our team!  

Requirements: 
- Proven experience in analysis large amount of data;
- Experience in solving customer behaviour prediction tasks;
- Knowledge of ML algorithms for regression, classification, clustering, ability to apply them to business problems;
- Solid experience in SQL;
- Extensive experience with Python for data processing, modeling, and visualization.;
- Deep understanding of statistics, probability theory;
- Passion to drive projects from R&D to business value. 

Will be a plus: 
- Familiarity with AWS infrastructure and toolchain (SageMaker, CloudFormation, CloudWatch, etc.);
- Familiarity with BI tools (Metabase, Tableau);
- Experience with tools for managing ML workflows;
- Knowledge and experience with algorithms and data structures;
- Knowledge of OOP;
- Understanding of containerization technologies (Docker)
participation in Kaggle competitions. 

Responsibilities: 
- Develop and deploy predictive models for Customer Lifetime Value (LTV) to optimize marketing spend and improve retention strategies
- Developing and testing machine learning models for customer behaviour prediction, deploying to production;
- Working with tabular data - collecting, cleaning, and exploring datasets, building ML pipelines;
- Applying statistical methods to analyze and interpret data, finding patterns, insights to improve the quality of models;
- Maintaining existing models;
- Communicating and presenting results. 

Our benefits to you:

☘️An exciting and challenging job in a fast-growing business group, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance, and more

🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed

🧑🏻‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided

🏖Paid vacations, sick leave, personal events days, days off

💵Referral program — enjoy cooperation with your colleagues and get the bonus

📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences

🎯Rewards program for mentoring and coaching colleagues

✈️In-house Travel Service

🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, clubs for movie / book / pets lovers and more

🎳Other benefits could be added based on your location 

The product we are working on is one of TOP-3 navigation systems, complex web-services and other solutions related to it. The web and mobile apps handle information at massive scale and extend well beyond the search giving people and companies a lot of new useful options.

You will play a high-impact role within a small, efficient team dedicated to bridging the gap between Engineering and Data Science. Your work will focus on building cutting-edge Generative AI infrastructures and frameworks that significantly boost productivity across the whole product. You will develop tools that bring engineering rigor to data science workflows, solving complex problems in the GenAI space that the market has yet to crack. This is a high-impact role in a small team. You will be working alongside talented engineers and data scientists to build productivity-defining products for the next generation of the application.

Requirements:

• Location in Warsaw (Office-based role in Warsaw).
• 5+ years of experience in software development, with a focus on infrastructure or data-centric applications.
• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• Strong proficiency in Python and a solid understanding of backend architecture.
• Experience with SQL and the ability to handle complex data structures.
• Problem-Solving: Ability to write clean, abstract, and maintainable code for a rapidly evolving GenAI landscape.
• Communication: Excellent communication skills for collaborating with geographically distributed teams and translating data science needs into technical requirements.

• Fluency in English.

   

Nice to have:

• Generative AI Expertise: Familiarity with LLM orchestration frameworks, prompt engineering, or vector databases.
• Polyglot Programming: Experience with Kotlin, Java, Bash, or HCL (Terraform).
• Frontend Interest: Experience building chat interfaces or data visualization dashboards.

• Large-Scale Systems: Experience working on large-scale infrastructure that serves a diverse range of internal or external users.

   

Responsibilities:

• GenAI Development: Design, develop, and maintain features for our GenAI analytics agent (DataWhiz) that serve the entire organization for complex data analytical inquiries.
• Framework Optimization: Improve and scale the internal GenAI framework, including fixing bugs and optimizing the core engine for performance and reliability.
• UI/UX Enhancement: Build and implement new UI features for the GenAI chat interface to ensure a seamless experience for internal stakeholders.
• Cross-Functional Collaboration: Partner with development, product, and UX teams to define product requirements, while collaborating with core platform engineers to ensure infrastructure alignment.

• Engineering Excellence: Bridge the gap between Engineering and Data Science by applying software engineering best practices (code reviews, CI/CD, scalability) to DS workflows.

   

We offer:

• Opportunities to develop in various areas;
• Compensation package (20 paid vacation days, paid sick leaves);
• Flexible working hours;
• Medical Insurance;
• English courses with a native speaker, yoga (zoom);
• Paid tech training and other activities for professional growth;
• International business trips

• Comfortable office (Office-based role in Warsaw - 5 days in the office)

   

If your qualifications and experience match the requirements of the position, our recruitment team will reach out to you in a week maximum. Please rest assured that we carefully consider each candidate, but due to the amount of applications the review and further processing of your candidacy may take some time.

Join us to develop SLAM, Visual-Inertial Odometry (VIO), and state estimation solutions for real-world robotics and navigation systems.

We're looking for an engineer with a strong mathematical background and extensive experience in classical and geometric computer vision. You'll independently design, prototype, and optimize computer vision algorithms, quickly turn research ideas into working solutions, and contribute to technical decisions across the development process.

Responsibilities:

• Design, develop, and optimize classical and geometric computer vision algorithms
• Work with feature tracking, matching, and geometric processing
• Develop and improve SLAM / VIO and state estimation pipeline components
• Integrate and test multi-sensor fusion systems (camera + IMU)
• Design and run experiments, evaluate algorithm performance
• Translate research papers into practical implementations
• Collaborate with cross-functional engineering teams

Required Qualifications:

• 5+ years of professional experience in computer vision, robotics, or a related field
• Deep understanding of linear algebra, statistics, and optimization methods
• Strong hands-on experience with classical and geometric computer vision
• Strong understanding of camera models, feature detection and tracking, geometry, and state estimation
• Proven experience developing SLAM, Visual-Inertial Odometry (VIO), or related localization systems
• Strong C++ development skills and experience with Linux
• Experience designing, implementing, and optimizing production-ready computer vision algorithms
• Ability to independently investigate research papers and implement state-of-the-art methods
• Experience working on R&D projects
• Degree in Computer Science, Mathematics, Physics, Engineering, or related STEM field

Nice to Have:

• Experience with Python
• Knowledge of neural networks and CV libraries/frameworks (OpenCV, NumPy, PyTorch, ONNX, Eigen, etc.)
• Experience with sensor fusion techniques
• Familiarity with embedded or real-time systems
• Robotics or navigation background

We are looking for a Computer Vision Engineer with strong experience in deep learning and applied computer vision systems.
The role involves working on challenging CV problems in real-world environments.
We consider Middle and Senior engineers, with scope adapted to experience.
Responsibilities

• Develop, train, and optimize deep learning models for:
  • image retrieval
  • image matching (keypoint detection and matching)
  • auxiliary perception tasks supporting the main pipeline
• Evaluate models using quantitative metrics, including:
  • retrieval quality (mAP, Recall@K)
  • matching performance (precision/recall, repeatability)
  • end-to-end system metrics (accuracy, latency, robustness)
• Optimize models for production deployment using modern toolchains:
  • ONNX / TensorRT / OpenVINO / edge acceleration where applicable
  • model compression techniques (quantization, pruning, distillation)
  • latency, memory, and throughput optimization
• Work with large-scale visual datasets and descriptor-based representations
• Collaborate with engineering teams to integrate models into production systems

Required Qualifications

• 2–4+ years of experience in Computer Vision / Deep Learning
• Hands-on experience with keypoint detection and matching models (e.g. SuperPoint, R2D2, DISK, LightGlue, SuperGlue)
• Experience with image retrieval or metric learning systems
• Strong understanding of geometric and motion-related computer vision concepts:
  • keypoint detection and description
  • image matching and geometric verification (RANSAC, homography, PnP)
  • pose estimation and refinement techniques (PnP, bundle adjustment, pose graph optimization)
  • optical flow and frame-to-frame tracking
  • vector search / ANN methods for descriptor retrieval
• Strong Python skills (PyTorch and scientific computing stack)
• Ability to read and understand inference code in C++

Nice to Have

• Experience with noisy or imperfect real-world datasets
• Self-supervised or unsupervised learning methods (contrastive learning, homography supervision, etc.)
• Experience optimizing models for edge deployment (quantization, pruning, distillation)
• Familiarity with FAISS or similar vector search systems
• Experience with optimization libraries for geometric problems (bundle adjustment, pose refinement)
• Understanding of real-time constraints (latency, memory, CPU inference budgets on ARM or low-power x86 systems)

We are looking for a Data Scientist to join a risk modeling team within one of the leading banks in Ukraine. The team has been a benchmark in risk modeling for over 10 years, applying advanced Machine Learning techniques and global best practices.
 

We are open to considering candidates from Junior to Senior level, depending on experience and expertise.
 

In this role, you will develop ML solutions to minimize financial risks and optimize strategies for working with millions of customers.
 

Why Join the Team:

• Technology Stack: We use cloud solutions and modern development tools such as Amazon SageMaker, Amazon S3, Git, Confluence, etc.
• Scale: Working with large-scale datasets to support critical business decisions.
• Expertise: Risk models aligned with international standards and regulatory requirements.
• Professional Community: Strong Data Science community, regular internal workshops, participation in conferences, and sponsored learning.
• Automation: Proprietary system for managing the full ML lifecycle (from development to monitoring).
   

Key Requirements:

• 1+ year of experience in Data Science (experience in FinTech/Banking will be a strong advantage);
• Strong proficiency in Python for data analysis (NumPy, Pandas, SciPy, etc.) and experience optimizing SQL queries on large datasets;
• Hands-on experience with ML frameworks such as Scikit-learn and gradient boosting libraries (LightGBM, XGBoost, etc.);
• Experience with time series analysis and forecasting tools (Statsmodels, Prophet, etc.);
• Solid understanding of mathematics behind models (from linear regression to gradient boosting) and model evaluation techniques;
• Understanding of Big Data concepts and experience with version control tools (Git).
   

Nice to Have:

• Experience with Docker and/or MLflow;
• Knowledge of financial regulations (e.g., Basel III, IFRS 9).
   

Key Responsibilities:

• Credit Risk Modeling: Develop portfolio risk models (PD, LGD, EAD) in line with IFRS 9 requirements;
• Income & Solvency Forecasting: Build ML models to assess customer financial condition based on transactional activity;
• Credit & Behavioral Scoring: Develop classical and advanced scoring systems for automated decision-making across the customer credit lifecycle;
• Market Risk Analysis: Apply time series analysis and ML techniques to assess liquidity risk, forecast FX volatility, and model customer fund behavior;
• Fraud & Anomaly Detection: Build and maintain systems for detecting unusual transaction patterns in real time;
• ML Lifecycle: Participate in the full lifecycle of models — from idea and data collection to automated monitoring and retraining.
   

What We Offer:

• Opportunity to work in one of the leading banks in Ukraine;
• Official employment and 24+4 calendar days of vacation;
• Sick leave compensation;
• Competitive salary;
• Bonuses and performance-based incentives;
• Medical insurance;
• Corporate training and development programs;
• Remote work options;
• Financial support in critical situations.

We are looking for a Data Scientist to join our Trading Core and Risk Tech squads and drive data-informed decision-making across our trading systems. In a high-frequency trading environment processing billions in volume, success depends on precision, robust analytics, and the ability to turn complex data into actionable insights.

In this role, you will research, model, and validate the core data-driven models that drive our pricing engines, automated market-making algorithms, risk management frameworks (A/B/C-book optimization), and liquidation mechanics. You will sit at the intersection of statistics, data science, and high-performance software engineering, working directly with Core Product Managers and engineering teams to turn complex financial data into proprietary algorithmic advantages.

Responsibilities

• Research, design, and prototype behavioral, risk, and toxicity-scoring models for client and partner-flow segmentation
• Build backtesting and monitoring frameworks to validate models, signals, and hypotheses across data of varying granularity
• Detect early risk signals, anomalies, and regime shifts in market and client behavior, including probability of critical capital loss
• Develop explainable risk signals and labels for the R&D team, and long-term client value/risk models with forecasting
• Conduct research and hypothesis-testing on client economics, flow quality, and model performance

Requirements

• 4+ years of experience as a Data Scientist  
• Exceptional knowledge of probability theory, statistics, time-series analysis, and financial mathematics
• Advanced proficiency in Python (NumPy, Pandas, SciPy, Scikit-learn, Statsmodels) for data analysis, modeling, and backtesting
• Solid experience with Machine Learning
• SQL skills and experience working with large-scale historical market data (tick data, order logs)
• Strong logical thinking, initiative, and well-developed communication skills

Will be a plus

• Experience in CFD, Crypto CEX, Prop Trading Firm, or Hedge Fund
• Degree (MSc or PhD preferred) in a highly quantitative field: Mathematics, Physics, Statistics, Quantitative Finance, or Computer Science
• Deep understanding of market microstructure, order book dynamics, risk metrics (VaR, Expected Shortfall), and margin/liquidation mechanisms
• Experience with AI (Claude.io, Copilot, Codex)

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company's approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

The product we are working on is one of TOP-3 navigation systems, complex web-services and other solutions related to it. The web and mobile apps handle information at massive scale and extend well beyond the search giving people and companies a lot of new useful options.

You will play a high-impact role within a small, efficient team dedicated to bridging the gap between Engineering and Data Science. Your work will focus on building cutting-edge Generative AI infrastructures and frameworks that significantly boost productivity across the whole product. You will develop tools that bring engineering rigor to data science workflows, solving complex problems in the GenAI space that the market has yet to crack. This is a high-impact role in a small team. You will be working alongside talented engineers and data scientists to build productivity-defining products for the next generation of the application.

Requirements:

• Location in Warsaw (Office-based role in Warsaw).
• 5+ years of experience in software development, with a focus on infrastructure or data-centric applications.
• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• Strong proficiency in Python and a solid understanding of backend architecture.
• Experience with SQL and the ability to handle complex data structures.
• Problem-Solving: Ability to write clean, abstract, and maintainable code for a rapidly evolving GenAI landscape.
• Communication: Excellent communication skills for collaborating with geographically distributed teams and translating data science needs into technical requirements.

• Fluency in English.

   

Nice to have:

• Generative AI Expertise: Familiarity with LLM orchestration frameworks, prompt engineering, or vector databases.
• Polyglot Programming: Experience with Kotlin, Java, Bash, or HCL (Terraform).
• Frontend Interest: Experience building chat interfaces or data visualization dashboards.

• Large-Scale Systems: Experience working on large-scale infrastructure that serves a diverse range of internal or external users.

   

Responsibilities:

• GenAI Development: Design, develop, and maintain features for our GenAI analytics agent (DataWhiz) that serve the entire organization for complex data analytical inquiries.
• Framework Optimization: Improve and scale the internal GenAI framework, including fixing bugs and optimizing the core engine for performance and reliability.
• UI/UX Enhancement: Build and implement new UI features for the GenAI chat interface to ensure a seamless experience for internal stakeholders.
• Cross-Functional Collaboration: Partner with development, product, and UX teams to define product requirements, while collaborating with core platform engineers to ensure infrastructure alignment.

• Engineering Excellence: Bridge the gap between Engineering and Data Science by applying software engineering best practices (code reviews, CI/CD, scalability) to DS workflows.

   

We offer:

• Opportunities to develop in various areas;
• Compensation package (20 paid vacation days, paid sick leaves);
• Flexible working hours;
• Medical Insurance;
• English courses with a native speaker, yoga (zoom);
• Paid tech training and other activities for professional growth;
• International business trips

• Comfortable office (Office-based role in Warsaw - 5 days in the office)

   

If your qualifications and experience match the requirements of the position, our recruitment team will reach out to you in a week maximum. Please rest assured that we carefully consider each candidate, but due to the amount of applications the review and further processing of your candidacy may take some time.