Jobs Data Science

We are looking for a detail-oriented and organized Data Entry Specialist to accurately enter, update, and maintain company information in databases and internal systems. The ideal candidate has strong computer skills, excellent attention to detail, and the ability to work efficiently while maintaining a high level of accuracy.

 

Key Responsibilities

• Enter and update data accurately into company databases and systems.
• Review documents and verify information for accuracy and completeness.
• Maintain and organize digital and electronic records.
• Identify and correct data entry errors or inconsistencies.
• Perform regular data quality checks and updates.
• Maintain confidentiality of sensitive company and customer information.
• Prepare basic reports and spreadsheets as required.
• Communicate with team members to resolve missing or incorrect information.
• Complete assigned tasks within deadlines while maintaining accuracy.
  
   

Requirements

• High school diploma or equivalent; additional education is a plus.
• Previous data entry or administrative experience preferred.
• Strong typing and computer skills.
• Proficiency with Microsoft Office, especially Excel and Word.
• Excellent attention to detail and organizational skills.
• Ability to work independently and as part of a team.
• Good written and verbal communication skills.
• Ability to handle confidential information professionally.
• Strong time-management skills and ability to meet deadlines.
   

Working Conditions

• Remote only
• Training will be provided for company-specific systems and procedures.

Milionyx is a full-cycle iGaming company. We bring together in-house technology development, performance marketing, analytics, and operational expertise.

We are looking for a Senior Data Scientist to become a key contributor to our Marketing Analytics team. The primary focus of this role is building predictive models that optimize user acquisition, evaluate traffic quality, forecast user value, and maximize marketing ROI.
Our product operates on a white-label solution, so the ideal candidate should be comfortable handling heterogeneous datasets, and developing scalable analytical and ML-solutions.

Responsibilities:
Develop and maintain predictive models for:

• LTV, Early LTV Prediction
• ROAS
• Marketing Payback Period
• FTD Prediction
• Deposit behavior forecasting
• Churn Prediction;
• Analyze traffic quality across acquisition channels and identify optimization opportunities;
• Build user value prediction models using early lifecycle behavioral signals;
• Build ML-solutions to optimize marketing budget allocation;
• Collaborate closely with Marketing, Retention, Product, and Tech Teams;
• Monitor model performance, retrain models when necessary, and support production ML-pipelines.

Required Experience:

• 3+ years of experience as a Data Scientist;
• Strong background in Marketing Analytics, User Acquisition, or Growth Analytics;
• Hands-on experience building predictive models for user behavior and business value forecasting;
• Experience delivering ML-solutions from research through production;
• Experience working with large-scale datasets;
• Ability to work with incomplete and heterogeneous data.

Required Technical Skills:

• Python (Pandas, NumPy, Scikit-learn);
• Advanced SQL;
• Git/GitLab;
• Gradient Boosting (XGBoost, LightGBM, CatBoost);
• Random Forest;
• Logistic Regression;
• Customer Segmentation & Clustering;
• Time Series Forecasting (preferred);
• Uplift Modeling (preferred).

Nice to have:

• AWS ecosystem;
• Amazon Athena;
• Apache Kafka;
• GTA (internal analytical data platform);
• Large-scale event-based datasets.

We offer

• Flexible work format — remote, hybrid, or office in Kyiv, whichever suits you best
• Monday–Friday schedule, 10:00 AM–6:00 PM
• 18 days of paid vacation, 10 sick days
• Direct communication with leadership and real influence on marketing and business decisions, without unnecessary bureaucracy

Cloudfresh ⛅️ is a Global Google Cloud Premier Partner, Zendesk Premier Partner, Asana Solutions Partner, GitLab Select Partner, Hubspot Platinum Partner, Okta Activate Partner, and Microsoft Partner.

Since 2017, we’ve been specializing in the implementation, migration, integration, audit, administration, support, and training for top-tier cloud solutions. Our products focus on cutting-edge cloud computing, advanced location and mapping, seamless collaboration from anywhere, unparalleled customer service, and innovative DevSecOps.

We’re currently looking for a Data Engineer/Analyst (GCP) to join our team. In this role, you’ll design, implement, and deliver robust data platforms and analytics solutions on Google Cloud - ensuring technical excellence and client success across the full project lifecycle, from pre-sales discovery to enterprise delivery and internal projects. We’re excited to meet someone who’s ready to make a real impact.

Requirements

- Fluency in Ukrainian
- At least B2 level in English
- GCP Native Data Stack: Deep practical knowledge of BigQuery, Cloud Storage, Cloud Functions, and BigQuery ML.
- 3+ years of experience in Data Engineering
- Strong experience with Dataflow, Dataproc, Pub/Sub, Cloud Composer, or Dataform for building and maintaining optimized ETL/ELT processes in GCP.
- Proficiency in Looker / Looker Studio.
- Advanced SQL (focus on optimization and performance tuning) and Python (for API integrations and pipeline scripting).
- Comfortable in client-facing and pre-sales scenarios (live demos, requirements gathering) with the ability to translate business needs into scalable technical designs.
- A proactive, self-driven approach with high responsibility for data platform reliability and accuracy.
- Familiarity with integrating data from APIs, relational databases, NoSQL systems, and SaaS platforms.
- Ability to work seamlessly with architects, DevOps, and ML engineers to deliver end-to-end cloud solutions.

Responsibilities

- Design and build modern data platforms for enterprise clients, working with both structured and unstructured datasets at scale.
- Lead the implementation of analytics solutions ensuring strict data quality, security, and rigorous performance optimization.
- Run workshops and deliver technical presentations to stakeholders to define and refine data architectures.
- Continuously monitor and tune BigQuery cost/scalability models and ETL performance.
- Collaborate with the team during discovery phases to provide technical expertise, live demos, and solution scoping.
- Identify and explore new GCP features and agentic AI tools to automate operations and improve process analytics.

Work conditions

- Flexible Work Format: Work remotely with flexible hours, allowing you to balance your professional and personal life efficiently.
- Training with Leading Cloud Products: Access in-depth training on cutting-edge cloud solutions, enhancing your expertise and equipping you with the tools to succeed in an ever-evolving industry.
- International Collaboration: Work alongside A-players and seasoned professionals in the cloud industry.
- Expand your expertise by engaging with international markets across the EMEA and CEE regions.
- Vibrant Team Environment: Be part of an innovative, dynamic team that fosters both personal and professional growth, creating opportunities for you to advance in your career.

When applying to this position, you consent to the processing of your personal data by CLOUDFRESH for the purposes necessary to conduct the recruitment process, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 (GDPR).
Additionally, you agree that CLOUDFRESH may process your personal data for future recruitment processes. You can withdraw this consent at any time.

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 

Key responsibilities

• Own end-to-end solution architecture for data, analytics, and AI use cases, with accountability for design quality, security, scalability, supportability, and cost.
• Translate business needs into practical technical designs, target architectures, integration patterns, and delivery-ready implementation guidance.
• Lead by example through hands-on prototyping, architecture reviews, troubleshooting, code/design reviews, and technical support for delivery teams.
• Ensure security, governance, compliance, and operational readiness are built into solutions from design through production deployment.

Must have

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• 10+ years of IT experience, including 5+ years in senior solution architecture roles for enterprise data, analytics, and AI platforms.
• 5+ years strong hands-on experience with Azure-based data platforms, including Azure Data Factory, Databricks, data lake architectures, SQL, and dimensional data modeling, with the ability to build practical end-to-end solution designs.
• Strong experience with enterprise security, governance, and compliance, and the ability to work effectively with enterprise architects and guiding or regulatory functions to ensure solutions meet organizational standards and control requirements.
• Enterprise AI enablement experience: designing solutions with Azure OpenAI and retrieval-augmented (RAG) patterns.
• BI/analytics architecture experience with Power BI or a similar enterprise BI technology.

Advantages

• Deep hands-on expertise in Power BI architecture, including semantic models, DAX, Power Query, workspace strategy, governance, performance optimization, and enterprise reporting patterns.
• Experience with Microsoft-first AI platforms and services such as Azure AI Foundry, Copilot Studio, Azure AI Search, Semantic Kernel, Prompt Flow, and enterprise AI governance patterns.
• Experience with Microsoft Fabric, Azure DevOps, GitHub Enterprise, and CI/CD for Data or AI solutions.
• Experience with Microsoft security and governance services such as Microsoft Entra, Purview, and Key Vault.
• Experience in life sciences, pharmaceuticals, or other regulated industries.
• Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture.

Key skills

• Hands-on technical leadership with a clear lead-by-example mindset.
• Strong architecture judgment across data, analytics, AI, integration, security, and non-functional requirements.
• Proven ability to own solution architecture end to end: shape target designs, validate them through prototyping or proof of concept where needed, guide delivery teams through implementation, and provide technical oversight through design reviews and production readiness checks.
• Ability to translate business problems into practical, delivery-ready technical solutions.
• Strong troubleshooting, decision-making, estimation, and risk management capability.
• Comfort working across distributed teams and external suppliers in enterprise delivery environments.
• Excellent communication skills in English, with the ability to drive alignment across architects, delivery teams, business stakeholders, and enterprise control functions.

Core technology stack

• Analytics: Power BI, semantic models, DAX, Power Query, Databricks, enterprise reporting and governance.
• Data platform: Azure Data Factory, Databricks, Azure data lake, SQL, dimensional modeling, ETL/ELT, orchestration.
• AI platform: Azure OpenAI, Azure AI Foundry, Azure AI Search, Copilot Studio, Semantic Kernel, Prompt Flow.
• Engineering and governance: Azure DevOps, GitHub Enterprise, CI/CD, Microsoft Entra, Purview, Key Vault.
• Optional / advantageous: Microsoft Fabric, Python, data observability and monitoring patterns.

About The Role

As a Senior/Lead Software Engineer in our Machine Learning department, you will take ownership of high-impact initiatives that drive product quality, monetization, and user experience. You’ll apply your expertise in Python, data analysis, and modern AI tools to build, deploy, and optimize ML solutions end-to-end. This is a hands-on technical role that blends data science and engineering to deliver measurable business outcomes. You’ll collaborate closely with cross-functional stakeholders and contribute to evolving areas such as LLMs, Generative AI, and ML infrastructure. The role offers exposure to complex data challenges and the opportunity to shape Pearl’s AI-driven capabilities.

What You’ll Do

• Build, train, and deploy ML models that improve product performance and monetization.
• Collaborate with data, product, and engineering teams across multiple internal initiatives.
• Design and implement data pipelines for extraction, transformation, and analysis.
• Apply statistical and machine learning techniques to real-world business problems.
• Work on projects involving LLMs and Generative AI technologies.
• Analyze large datasets to identify trends, insights, and optimization opportunities.
• Integrate ML models into production systems and monitor their performance.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders.
• Experiment with emerging AI tools and methodologies to enhance existing workflows.
• Ensure data quality, reliability, and scalability in all deliverables.

What We’re Looking For

• 3+ years of hands-on experience in ML Engineering or Data Science.
• 5-6+ years total experience in software or data engineering.
• Strong programming skills in Python.
• Proficiency in SQL for data querying and analysis.
• Solid understanding of data processing, analysis, and visualization.
• Experience with LLMs / Generative AI tools (e.g., OpenAI, Copilot, Cursor).
• Ability to build and deploy ML models end-to-end.
• Strong analytical and problem-solving mindset.
• Experience with .NET for integration work
• Upper-intermediate English proficiency (B2 or higher).
• Familiarity with Databricks or similar data platforms (nice-to-have).
• Exposure to AWS or other cloud-based ML environments (nice-to-have).

Why Join Us?

• High-Impact Data — Work with vast datasets generated by over a million daily visits, uncovering valuable insights.
• Collaborative Analytics Team — Join a team of 30+ skilled analysts who actively share knowledge and support each other.
• Cutting-Edge Tools & Techniques — Get hands-on experience with ML, Bayesian methods, and LLMs to solve real business challenges.
• Data-Driven Culture — Thrive in an environment where data informs every decision and drives continuous improvement.

At TechBiz Global, we provide recruitment services to top clients from our international portfolio. We are currently looking for a Senior Data Scientist with strong hands-on experience in training AI models, particularly Large Language Models (LLMs) and Small Language Models (SLMs), using GPU infrastructure and real-world datasets.

The ideal candidate should be based in Poland and able to clearly demonstrate their technical expertise, explain the tools and frameworks they use, and describe the complete model-training process—from data preparation to deployment and performance optimisation.
 

Key Responsibilities

• Train, fine-tune, and optimise LLMs and SLMs using GPU infrastructure.
• Build and manage end-to-end machine learning training pipelines.
• Prepare, clean, structure, and process large volumes of real-world data.
• Select appropriate models, frameworks, tools, and training approaches based on project requirements.
• Apply techniques such as supervised fine-tuning, transfer learning, prompt tuning, and parameter-efficient fine-tuning.
• Monitor model performance and improve accuracy, speed, scalability, and resource utilisation.
• Work with structured, unstructured, time-series, telemetry, log, and streaming data.
• Clearly document and explain the tools, methods, and technical decisions used throughout the model-training process.
• Collaborate with engineering, data, and business teams to move models from experimentation into production.
• Troubleshoot issues related to model quality, training stability, GPU performance, and data pipelines.

Requirements: 

• Proven professional experience as a Data Scientist, Machine Learning Engineer, AI Engineer, or similar role.
• Strong hands-on experience training or fine-tuning LLMs and/or SLMs.
• Practical experience using GPUs for AI model training.
• Strong Python programming skills.
• Experience with machine learning and deep-learning frameworks such as:
  • PyTorch
  • TensorFlow
  • Hugging Face Transformers
• Experience with GPU-related technologies and environments, such as CUDA, distributed training, cloud GPU platforms, or GPU clusters.
• Strong understanding of model-training workflows, including data preparation, tokenisation, model selection, training, evaluation, and optimisation.
• Ability to clearly explain previous AI projects, tools used, technical challenges, and achieved results.
• Experience working with large and complex datasets.
• Good English communication skills.
• Based in Poland.
   

Relevant Industry Experience

• Experience in one or more of the following industries or data environments would be highly valuable:
• E-commerce
• Finance or banking
• Insurance
• Healthcare or medical data
• Telemetry and IoT data
• Application or system logs
• Real-time and streaming data

• High-volume enterprise data environments

   

Nice to Have

• Experience with distributed model training.
• Experience with LoRA, QLoRA, PEFT, quantisation, or model compression.
• Experience with MLOps tools and model deployment.
• Knowledge of Docker, Kubernetes, MLflow, or similar technologies.
• Experience using AWS, Azure, or Google Cloud for AI workloads.
• Experience deploying AI models into production environments.
• Knowledge of data privacy, security, and governance requirements.

About AIstats

AIstats is transforming the football data market by moving from 2D to 3D, powered by a cutting-edge Computer Vision and Machine Learning ecosystem that unlocks deep insights for both fans and professionals.

What we build

Advanced Football Analytics — a mobile app for football fans an— a mobile app for football fans and bettors that reached 100k MAU in less than a year, featuring advanced statistics powered by our proprietary ML and Computer Vision technologies.

Advanced Analytics for Football Clubs — a next-generation analytics platform helping football clubs, scouts, and agents make smarter decisions both on the pitch and in the transfer market. Thanks to our early leadership in skeletal tracking data, AIstats secured several Tier-1 club partnerships within months of launching the platform.

Responsibilities

• Develop and improve statistical and machine learning models
• Analyze large-scale datasets using Python and SQL
• Conduct statistical analysis, hypothesis testing, and experiment evaluation
• Build interpretable ML solutions and explain model behavior
• Collaborate with cross-functional teams on data-driven initiatives

Requirements

• 3+ years of experience as a Data Scientist
• Strong Python skills with NumPy, Pandas, and scikit-learn
• Solid SQL knowledge; R is a plus
• Strong understanding of probability theory and mathematical statistics
• Experience with statistical testing: t-test, χ², ANOVA, Mann-Whitney, Wilcoxon, KS test, bootstrap/permutation tests, Bonferroni and FDR corrections
• Hands-on experience with XGBoost, LightGBM, and CatBoost
• Understanding of Bayesian methods
• Experience with longitudinal/panel data, mixed/fixed/random effects models, and repeated measures
• Experience with interpretable ML approaches: GAM, SHAP, partial dependence, counterfactual analysis

Nice to Have

• Experience with deep learning: Transformers, attention mechanisms, RNN/LSTM
• Knowledge of Graph Neural Networks
• Experience with Reinforcement Learning: PPO, MAPPO, MAT, multi-agent RL
• Familiarity with Google Research Football or similar environments
• Advanced Bayesian statistics: PyMC, Stan, numpyro, MCMC, hierarchical models
• Experience with causal inference: DAGs, instrumental variables, difference-in-differences
• Knowledge of probabilistic spatial models: Markov chains, HMM/DBN, MRF/CRF, Gaussian processes

What we offer

• Fully remote work format;
• Flexible start of the working day and convenient schedule;
• Stable competitive salary pegged to the USD;
• 24 days of paid vacation and 15 additional paid days off (including sick leave, corporate holidays, and national/religious holidays);
• Friendly communication culture, great product, and transparent processes;
• Dynamic work environment with a passionate team that loves sports and technology;
• Opportunities for professional growth and career development;
• No micromanagement — just trust, autonomy, and freedom to experiment.

Join our team and help drive innovation in the football industry!

Are you a Data Scientist with a love of LLMs, generative AI?

We are looking for a passionate Data Scientist to implement AI solutions aimed at achieving business goals.

This role offers the opportunity to work on cutting-edge AI adoption projects that helps to improve current business processes.

You'll be a great fit if you have:
• Strong Python Experience (1 year +);
• Commercial experience with LLM , Diffusion models (1 year +);
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;
• Strong experience in statistics;
• Bachelor's degree in Computer Science or a related field.

What you'll do:
• Develop AI agents that utilize LLM, RAG and langchain approach;
• Implement LLM and Diffusion models to boost business productivity;
• Utilize LLM (LLM Vision) to improve object detection, text classification and extraction;
• Create forecasting, recommendation, and classification models;
• Transform business challenges to AI applications;

We ensure your growth with:

• Competitive salary fixed in USD;

• Flexible working schedule and fully remote work format;

• Paid vacation days and sick leave days;

• Personal and professional development opportunities;

• Participation in building innovative projects from scratch using modern technologies;

• Team-building activities and corporate events;

• English classes and educational events.

N-iX  is looking for an experienced Senior Data Scientist with a strong focus on AI Engineering. The role involves designing and delivering production-ready AI solutions for the insurance industry, with a particular emphasis on Agentic AI, LLMs, RAG pipelines, and Computer Vision.

Key Responsibilities:

• Design and develop autonomous AI agent systems for the insurance domain
• Build production-ready AI solutions using:
  • Multi-Agent Systems
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Computer Vision
• Research, evaluate, and implement state-of-the-art AI technologies
• Develop scalable AI products for international markets
• Collaborate with a team of Data Scientists and AI Engineers
• Take AI solutions from architecture and proof of concept through production deployment
• Participate in building proprietary AI models for the insurance industry

Required Skills:

• 5+ years of commercial experience as a Data Scientist / AI Engineer
• Strong Python development skills
• Hands-on experience with:
  • Machine Learning
  • Deep Learning
  • Generative AI
  • LLMs
  • RAG architectures
  • AI Agent frameworks
• Experience building production AI systems
• Solid software engineering background
• Experience with data analysis and AI product development
• Degree in Computer Science/Data Science/Mathematics/Physics/Engineering or equivalent technical background
• Upper-intermediate+ English level 
• Strong analytical thinking, proactive mindset
• Ability to design scalable AI solutions
• Ability to explain complex technical concepts
• Independent and structured way of working
• Team player

Nice to Have:

• Experience within the insurance industry
• German or Spanish language skills

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

* benefits package is not applicable for freelancers

We are seeking an experienced Senior Data Technology Consultant to join our growing Data & AI practice. This role bridges technology with business value, helping clients harness the power of data to drive transformative business results. You will play a pivotal role in crafting innovative data solutions, supporting sales efforts, and delivering exceptional value to our clients through strategic consulting and technical expertise.

This is an exciting opportunity to work with cutting-edge technologies and make a tangible impact across global industries.

Kindly note that this role supports remote work, but only from within Ukraine.

Responsibilities

• Work closely with sales, delivery, and expert teams to align client needs with data-driven solutions, effectively connecting business challenges to our offerings
• Own the end-to-end presales process, including opportunity qualification, solution design, proposal development, demos, and client presentations
• Lead workshops and meetings with clients to gather business objectives and technical requirements, ensuring alignment between client goals and our solutions
• Architect tailored data solutions, encompassing cloud-native platforms, data integration, advanced analytics, and AI/ML models, to provide actionable business insights
• Develop competitive proposals, pricing models, and value propositions to successfully close opportunities and secure engagements
• Stay updated on emerging trends in Data & Analytics, Cloud, and AI, providing strategic advice to clients and supporting innovation within the practice
• Contribute to the development of reusable solution frameworks, accelerators, and methodologies to drive operational efficiency
• Act as a mentor and knowledge-sharer across the team, supporting skill-building and best practice dissemination

Requirements

• Extensive experience in presales, solution architecture, or consulting, with a focus on Data/AI technologies and related business use cases
• Strong technical knowledge in legacy Data Warehouse platforms (Oracle, DB2, Informatica, SSIS, etc.)
• Good experience in cloud data technologies (AWS, Azure, GCP)
• Experience in modern data platforms (Databricks, Snowflake)
• Familiarity with data science techniques and proficiency in analysis of client needs to align with technical solutions
• Excellent communication and storytelling skills—able to translate complex technical concepts into clear, client-friendly narratives
• Proven track record in engagement with senior stakeholders and delivery of impactful presentations or pitches
• Experience in creation of detailed proposals, RFP responses, and pricing/engagement models for data-related services or projects
• Understanding of strategic consulting principles and the ability to develop future-state recommendations and roadmaps for client success
• Strong organizational, leadership, and project scoping abilities, with a proven ability to manage complex tasks in a fast-paced environment
• Bachelor’s or master’s degree in data science, Computer Science, Business Analytics, or a related field (or equivalent professional experience)
• Excellent English communication skills, with the ability to clearly and effectively explain technical concepts to diverse audiences

We offer/Benefits

With us you can:

• Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
• Receive the necessary equipment to perform your work tasks
• Change projects and technology stacks within EPAM
• Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
• Relocation opportunities may be available for eligible candidates, depending on the role and openings at other EPAM locations
• Participate in volunteer, charity programs and communities (both technical and interest-based)

We focus on your professional growth:

• You can plan your individual career path together with your manager
• Receive regular feedback from colleagues
• Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
• Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
• Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
• Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
• Study at EPAM Solution Architecture School with the instructors who are practicing architects
• Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
• Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)

What we offer:

• Vacation and sick leave (including a sick leave without a medical certificate)
• A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
• Medical insurance for family members at corporate rates
• Company support during significant life events (childbirth or adoption, marriage, etc.)
• Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
• E-kids program — a free programming language training program for EPAMers’ children

Kindly be advised that the set of benefits, including learning, certification, and other opportunities, may vary depending on the role you apply for. Our recruiter will be able to share more details about the specific opportunity during your general interview.

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.

We are building a next generation cross asset data fabric, which will bring together disparate data sources for the global bank. It will enable industry leading analytics, reporting and data science solutions. There are multiple streams within application covering Reporting, Data and Analytics.

Responsibilities

This role is for a Senior Business Intelligence (BI) Developer to create reporting framework and set up the ground work for creation of Tableau reporting via Dashboards and scheduled reporting. The ideal candidate will help to ensure highest level of quality of a product being developed while working very closely with different stakeholders spread across globally

Candidate will work independently and is highly self-motivated. Applies skills and knowledge of the business to test creative solutions to meet client and business needs.

Skills

Must have

Strong SQL and Data Analyst experience.

Python skills

Proven experience as a BI developer/Data Engineer

Background in data warehouse design (e.g., dimensional modeling) and data mining

Understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework

Team player, good on communication with Business Analysts or Traders,

Highly Motivated, quick learner, general interest in Equity/Equity

Derivatives Trading Business. Experience in Risk Department (Risk area).

Exposure to Equities business

Must have worked in Agile [min 2+ years]

Must have good analytical & logical skills

Strong interpersonal, oral and written communication

Nice to have

Experience in Tableau

Understanding of Big Data concepts and technologies (HDFS, Spark, Hive, Impala), enabling effective handling and analysis of large datasets.

Are you a Data Scientist with a love of LLMs, generative AI?

We are looking for a passionate Data Scientist to implement AI solutions aimed at achieving business goals.

This role offers the opportunity to work on cutting-edge AI adoption projects that helps to improve current business processes.

You'll be a great fit if you have:
• Strong Python Experience (1 year +);
• Experience with LLM , Diffusion models (1 year +);
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;
• Strong experience in statistics;
• Bachelor's degree in Computer Science or a related field.

What you'll do:
• Develop AI agents that utilize LLM, RAG and langchain approach;
• Implement LLM and Diffusion models to boost business productivity;
• Utilize LLM (LLM Vision) to improve object detection, text classification and extraction;
• Create forecasting, recommendation, and classification models;
• Transform business challenges to AI applications;

We ensure your growth with:

• Competitive salary fixed in USD;

• Flexible working schedule and fully remote work format;

• Paid vacation days and sick leave days;

• Personal and professional development opportunities;

• Participation in building innovative projects from scratch using modern technologies;

• Team-building activities and corporate events;

• English classes and educational events.

Eastern Peak is looking for an experienced Data Scientist to join a fast-growing gaming-tech company building an AI-driven analytics and prediction engine on top of real-time sports data feeds. The team is currently small and hands-on, working on an MVP ahead of a funding round, with football as the initial focus sport, followed by tennis and American football.

What You'll Do:

• Work with large-scale, real-time sports data feeds (odds, live match events, player/team stats) from various providers.
• Design and build an intelligent algorithmic layer on top of raw real-time sports data to generate predictive insights and models.
• Develop and iterate on AI/ML-driven models that turn continuous streams of sports data into actionable, betting-relevant outputs.
• Work closely with a small, focused product team to help shape and ship the MVP.
• Adapt models and pipelines as the product expands from football into additional sports (tennis, American football, etc.).
  
  What We're Looking For:
• 4+ years of hands-on Data Science experience.
• Proven experience working with large, real-time sports datasets, the ability to think in terms of live, fast-changing sporting events rather than financial time series.
• Hands-on experience with at least one major sports data provider (Sportradar, Stats Perform, Sportmonks, Huddle, LSports, or similar)
• Strong applied Data Science / ML background, able to independently build predictive algorithms from raw data feeds.
• Experience within the sports iGaming industry.

Will be a plus:

• Background from a strong technical/analytics academic program.
• Experience building AI-native solutions (e.g., LLM-based or agentic tooling) on top of structured/real-time data.
• Prior experience in a startup or MVP-stage environment ahead of a fundraising milestone.