Jobs

FAVBET Tech develops software that is used by millions of players around the world for the international company FAVBET Entertainment.
We develop innovations in the field of gambling and betting through a complex multi-component platform which is capable to withstand enormous loads and provide a unique experience for players.
FAVBET Tech does not organize and conduct gambling on its platform. Its main focus is software development.

Main areas of work:

• Betting/Gambling Platform Software Development — software development that is easy to use and personalized for each customer.
• Highload Development — development of highly loaded services and systems.
• CRM System Development — development of a number of services to ensure a high level of customer service, effective engagement of new customers and retention of existing ones.
• Big Data — development of complex systems for processing and analysis of big data.
• Cloud Services — we use cloud technologies for scaling and business efficiency.

We are looking for a Middle Data Scientist to join our Data Science Team.
 

Responsibilities:

• Analyse big volumes of data to extract actionable insights.
• Build, validate, and deploy machine learning models.
• Design and conduct A/B tests to measure the impact of the new features.
• Collaborate with marketing and product teams to understand business needs and deliver data-driven solutions.
• Collaborate with engineering teams on data sources and feature processing.
• Present your results to business customers.
   

Required qualifications:

• Minimum 2 years of experience as a Data Scientist.
• Strong proficiency in SQL and Python, including commonly used machine learning libraries (e.g., scikit-learn, pandas, NumPy).
• Hands-on experience designing, running, and interpreting A/B tests.
• Familiarity with version control systems such as GitHub, GitLab, or Bitbucket.
   

Nice to have:

• Experience with cloud data services, preferably within the AWS ecosystem.
• Experience working with recommendation systems.
• Familiarity with Docker for containerization.
• Solid understanding of MLOps fundamentals.
   

We offer:

• 30 days off — we value rest and recreation.
• Medical insurance for employees and the possibility of training employees at the expense of the company and gym membership.
• Remote work or the opportunity — our own modern lofty office with spacious workplace, and brand-new work equipment (near Pochaina metro station).
• Flexible work schedule — we expect a full-time commitment but do not track your working hours.
• Flat hierarchy without micromanagement — our doors are open, and all teammates are approachable.

The family-style company is looking for a talented Data Scientist to join our team. If you are looking for an awesome team, send us your CV!

About the project

As a Data Scientist at UKAD, you will play an essential role in analyzing, modeling, and deriving insights from data that drives platform's core functionalities. You will focus on building predictive models, analyzing trends, and optimizing e-commerce-related processes using structured data.
Your day-to-day work will be together with an international team, working closely with your Team Lead, CTO, Head of Engineering and our full-stack developers. Our department consists of colleagues from various parts of the world and English is the primary language for communication.

Your key responsibilities consist of the following

• Supporting the development and deployment of machine learning and deep learning models, contributing to the process from ideation to implementation under the guidance of the team lead.
• Assisting in advanced time series analyses for e-commerce data, such as sales forecasting and inventory management.
• Writing and optimizing complex SQL queries to extract, manipulate, and analyze data.
• Collaborating with software developers to implement data-driven solutions into the platform.

• Conducting exploratory data analysis and presenting insights to the team lead and relevant stakeholders.

  
  And a few more points to match

• 5+ years of relevant experience
• Spoken English and desire to speak English
• Strong experience with Python and relevant libraries (e.g., Pandas, Numpy, Scikit-learn, TensorFlow…).
• Proficiency in SQL, with the ability to write complex queries involving joins, subqueries, and aggregations.
• A solid understanding of machine learning algorithms (supervised and unsupervised learning) and their practical applications in sales data.
• Practical experience in time series analysis for solving business problems like sales forecasting and inventory management.
• Experience deploying and maintaining machine learning models in a production environment using AWS services.
• Strong understanding of feature engineering techniques.
• Experience with software engineering best practices such as version control and testing.

Good-to-Have Skills

• Familiarity with working on sales and customer data in e-commerce.
• Ability to quickly understand e-commerce-specific datasets and use them effectively.

• Basic knowledge of deep learning, particularly LSTMs (Long Short-Term Memory networks).
  
  Your hands-on skills and data curiosity are what matter most. We're looking for someone who is self-sufficient, eager to learn, and most importantly someone who is passionate about data science within the e-commerce space.

  
  What we offer

• A really promising long-lasting project (you will be proud of yourself)
• Sane and polite, but effective management
• The best corporate culture (according to our teammates’ opinions)
• Competitive salary and other stuff (all the details here)
• Becoming a part of UKAD with unique value and long-term relationships.
  
  Some facts about UKAD to help you make a decision
• During 2022-2025, we only increased cooperation with our foreign partners
• UKAD combines benefits of family-sized companies, like no bureaucracy, easy access to the executives, with sustainable growth and vast opportunities
• Our company is strong enough to be not just a vendor but a tech partner. We can afford to choose customers that respect developers
• UKAD is one of the leading employers in Kharkiv, according to DOU
• We never hire people for projects, but to build the team, so if the project ends, you remain a part of UKAD.
  
  Aren’t we a company you’re looking for?

About the Role:

As a Computer Vision Engineer, you will play a key role in our AI team, designing and building solutions that make legal collaboration seamless and accessible. You will work on a cutting-edge product that leverages computer vision and other advanced AI techniques to support the automotive industry. Our platform, SelfInspection, enables automated vehicle inspections. Users capture photos of a vehicle's exterior, interior, and tires, which are then analyzed by our AI and experts to generate detailed condition reports. The first version of the product is live, and we are actively developing its second iteration.

Responsibilities:

• Train, evaluate, and deploy computer vision models for tasks such as instance segmentation, object detection, classification, and tracking
• Improve and optimize existing computer vision models
• Prepare high-quality training datasets using annotated data provided by the annotation team
• Stay current with advancements in the computer vision field to ensure the use of efficient and modern approaches
• Collaborate with C-level stakeholders to define technical requirements and specifications for new features

Qualifications:

• Minimum of 5 years of hands-on experience in machine learning, computer vision, or a closely related field
• Proven experience in training, evaluating, and optimizing deep learning models for production environments
• Strong background in data collection, preprocessing, augmentation, and annotation workflows
• Bachelor's, Master’s, or Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, or a related discipline (preferred but not required)

Skills:

• Hands-on experience with deep learning frameworks, particularly PyTorch and/or TensorFlow
• Deep understanding of convolutional neural networks (CNNs), transformers, and core computer vision tasks such as image classification, object detection, segmentation, and tracking
• Proficiency with scientific and image processing libraries such as NumPy, OpenCV, and scikit-learn
• Familiarity with model deployment techniques (e.g., ONNX, TensorRT, TorchScript, TensorFlow Lite) and performance optimization strategies
• Strong problem-solving skills and the ability to decompose complex vision tasks into modular components
• Excellent communication and collaboration skills across both technical and non-technical teams

Will be a Plus:

• Interest in prototyping and experimenting with new computer vision techniques
• Experience designing AI products from the ground up, with a solid understanding of AI system architecture

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe

About the client:
Our client is the go-to enterprise decision intelligence platform to drive better, faster decision-making across your organization, turning decision-making into a competitive advantage.

The company's platform helps teams scale great decisions by streamlining decision processes, automating recommendations with AI, and improving collaboration. The company is the only system of record to track, learn from and improve on your most critical commercial decisions.

About the role:
We are seeking an experienced and innovative Data Scientist to join the team, with a primary focus on automating decision-making processes in a wide range of areas of business.

The candidate will be responsible for the development of backend modules for Decision Intelligence assistants and AI agenetic systems. You will use advanced analytics and machine learning techniques, predictive analytics and big data tools to develop and implement solutions for automated analysis of structured and unstructured data to generate natural language insights, recommendations and decision recommendations.

Requirements:
- 3+ years of relevant experience as a Data Scientist.
- Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Strong proficiency in Python and familiarity with data analysis and ML libraries (such as Pandas, NumPy, Scikit-learn, SciPy, Stats models, TensorFlow, PyTorch etc.).
- Familiarity with SQL and NoSQL databases, GitHub tools and A/B testing frameworks is a big plus.
- Good understanding of time series analysis and forecasting methods.
- Strong problem-solving skills and a strategic mindset.
- Excellent communication skills, with the ability to explain complex concepts to diverse audiences.

Would be a plus:
- Experience using BI tools (Tableau, Power BI etc.) and Marketing mix modeling skills (especially in CPG).
- High energy, a passion for learning, and a genuine interest in revolutionizing enterprise decision-making through AI.

Responsibilities:
- Work with a team of AI experts, data scientists, engineering team, business analysts and market researchers to create solutions helping companies make strategic business decisions through providing insights and recommendations.
- Identify valuable data sources and automate ETL processes of structured and unstructured data.
- Analyze large and complex datasets from various sources to discover trends, patterns, anomalies and uncover actionable insights.
- Develop and deploy machine learning models and predictive algorithms for automated data analysis, generation of recommendations, and decisions.
- Design and implement systems for real-time decision-making in areas such as current state analysis, business recommendations, and process optimization.
- Continuously evaluate and fine-tune algorithms to improve accuracy, scalability, and performance.
- Collaborate with decision success, engineering, and product development teams.
- Present complex analytics and outcomes to non-technical stakeholders in a clear and actionable manner.

The company offers:
- Competitive salary and work equipment allowances.
- Flexible work schedule and paid personal time off.
- Collaborative team culture with cross-functional exposure to engineers, analysts, and business stakeholders.
- Opportunities for professional growth and learning.

Now we’re looking for a Data Science Expert who’s not just great with numbers, but hungry to build real things — models, insights, and features — that go live and make a measurable difference.

🔧 What You’ll Be Doing:

• Own the design and development of machine learning models, forecasting systems, and lead scoring algorithms
• Turn messy, high-volume data into clear business signals and predictive insights
• Work cross-functionally with product, engineering, and growth to embed models into the product and decision-making
• Research and prototype data-driven features like NLP, recommender systems, churn prediction, etc.
• Shape the future of our data science strategy and help define scalable best practices
   

✅ What Makes You a Strong Fit:

• 5+ years of experience in data science / ML / analytics roles
• Expert in Python, Pandas, scikit-learn, and SQL
• Experience building and deploying ML models into production environments
• Strong product mindset — you're not just building models, you're solving real business problems
• Excellent communicator — able to collaborate across technical and non-technical teams
• English level: С1 (you can comfortably read documentation, join team calls, and communicate in writing)

Bonus if you have:
 

• Experience working in a startup or product-led tech company
• Background in real estate, SaaS, or growth-focused environments

• Exposure to cloud platforms (GCP, AWS), ML Ops tools, or business intelligence systems

   

  🚀 Why You’ll Love It Here:

   

• You’ll work at the core of a product-led, AI-powered startup where data drives every decision
• Your work will ship — fast — and impact thousands of users
• High autonomy, low bureaucracy: we trust you to own your domain
• Remote-first culture with flexible hours and async-friendly communication
• Salary (fixed base) ABOVE the market average.
• A smart, passionate team that moves fast, supports each other, and builds cool stuff
•  15 paid vacation days + 5 paid sick days annually.
•  Paid access to courses, books, and growth resources.
•  Real decision-making power and ownership of your results.
  
   

N-iX is a software development service company with a 22-year history. We leverage talent to serve Fortune 500 companies and tech startups. N-iX operates in nine countries and employs over 2,000 professionals. 

We are seeking a highly skilled and energetic Senior Data Scientist to lead and contribute to our data science and AI-centric initiatives. The role involves developing advanced analytics solutions and leading short-term projects.
 
As a special incentive, we’re offering a Welcome Bonus of $2,000 USD for a new hire. Plus, if you refer a friend who gets hired, you’ll receive a Referral Bonus of $1000 USD!
 

Requirements:

• Master’s or Ph.D. in Data Science, Statistics, Computer Science, or a related field
• 5+ years of experience in data science with a strong focus on machine learning and natural language processing
• Proficiency in Python and SQL
• Knowledge of classic DataScience frameworks stack (pandas, numpy, scikit-learn)
• Familiarity with prompt engineering techniques and LLM agent frameworks (LangChain, LangGraph, LangSmith, Vector Databases)
• Strong understanding of statistical methods, hypothesis testing, data visualization, and feature engineering best practices (Matplotlib, plotly)
• Familiarity with MLflow, containerization, and orchestrators
• Knowledge and hands-on experience with Generative AI, including Prompt Engineering, Fine-Tuning, Automatic Evaluation, and Retrieval-Augmented Generation (RAG) and frameworks (huggingface, ragas)
• Excellent verbal and written skills in English
• Strong communication and presentation skills
   

Responsibilities:

• Participate in pre-sales activities that include but are not limited to the preparation of proposals, technical assessments, and implementation of proofs of concept
• Understand customer challenges and business needs, analyze and estimate requirements, as well as identify the risks involved and provide solutions to them
• Conduct in-depth data analysis to identify patterns, trends, and insights
• Collaborate with cross-functional teams to define project scope and objectives
• Communicate complex findings to non-technical stakeholders effectively
• Set up a testing framework to evaluate agent performance, measure key metrics, and identify optimization opportunities
   

Nice to have:

• Hands-on experience with Cloud Providers and their services: AWS (Bedrock, SageMaker, Textract, Polly), Azure (AI Search, OpenAI, Document Intelligence), or GCP (Vertex AI)
• Experience in leading data science projects from conception to deployment

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

*not applicable for freelancers

Requirments:

• 5+ years of experience in designing and implementing machine learning systems in a production environment.
• Experience with Deep Learning frameworks and libraries (TensorFlow, PyTorch).
• Experience in fine-tuning Computer Vision models (YOLO, SSD, Visual Transformers)
• Proficient in programming with Python.
• Strong understanding of data structures, algorithms, and software engineering principles.
• Experience with at least one cloud platform (AWS, Azure, Google Cloud) and understanding of how to leverage their ML services.
• Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes) for deploying ML models.
• Familiarity with MLOps principles and tools to streamline the ML lifecycle from development to production.
• Excellent communication and leadership skills, with the ability to work in a fast-paced, collaborative environment.
• Commercial experience in object detection, segmentation, and classification
• Commercial or Academic experience with the Segment Anything Model (SAM)

Job Responsibilities:

• Design and implement scalable machine learning models and algorithms that can process large volumes of data.
• Lead the development of our ML infrastructure, ensuring it supports both current needs and future growth.
• Support presale PoCs and project/account-starting activities
  Architect and optimize data pipelines for training and deploying machine learning models.
• Collaborate with data engineers and software developers to integrate ML models into production systems.
• Stay aware of new developments in machine learning, AI, and data science, and assess their applicability to our business needs.
• Work with product teams to translate business requirements into technical specifications and ML solutions.

Department/Project Description:

Our department focuses on developing cutting-edge machine learning and artificial intelligence solutions to address complex real-world challenges. We specialize in designing, deploying, and optimizing scalable ML models, with a strong emphasis on Computer Vision, Deep Learning, and MLOps. The team collaborates with cross-functional experts, including data scientists, engineers, and product managers, to deliver high-impact AI-driven solutions for various industries. By leveraging state-of-the-art technologies and cloud platforms, we ensure the seamless integration of ML models into production environments, driving innovation and business value.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe

About the client:
Our client is the go-to enterprise decision intelligence platform to drive better, faster decision-making across your organization, turning decision-making into a competitive advantage.

The company's platform helps teams scale great decisions by streamlining decision processes, automating recommendations with AI, and improving collaboration. The company is the only system of record to track, learn from and improve on your most critical commercial decisions.

About the role:
We are seeking an experienced and innovative Data Scientist to join the team, with a primary focus on automating decision-making processes in a wide range of areas of business.

The candidate will be responsible for the development of backend modules for Decision Intelligence assistants and AI agenetic systems. You will use advanced analytics and machine learning techniques, predictive analytics and big data tools to develop and implement solutions for automated analysis of structured and unstructured data to generate natural language insights, recommendations and decision recommendations.

Requirements:
- 3+ years of relevant experience as a Data Scientist.
- Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Strong proficiency in Python and familiarity with data analysis and ML libraries (such as Pandas, NumPy, Scikit-learn, SciPy, Stats models, TensorFlow, PyTorch etc.).
- Familiarity with SQL and NoSQL databases, GitHub tools and A/B testing frameworks is a big plus.
- Good understanding of time series analysis and forecasting methods.
- Strong problem-solving skills and a strategic mindset.
- Excellent communication skills, with the ability to explain complex concepts to diverse audiences.

Would be a plus:
- Experience using BI tools (Tableau, Power BI etc.) and Marketing mix modeling skills (especially in CPG).
- High energy, a passion for learning, and a genuine interest in revolutionizing enterprise decision-making through AI.

Responsibilities:
- Work with a team of AI experts, data scientists, engineering team, business analysts and market researchers to create solutions helping companies make strategic business decisions through providing insights and recommendations.
- Identify valuable data sources and automate ETL processes of structured and unstructured data.
- Analyze large and complex datasets from various sources to discover trends, patterns, anomalies and uncover actionable insights.
- Develop and deploy machine learning models and predictive algorithms for automated data analysis, generation of recommendations, and decisions.
- Design and implement systems for real-time decision-making in areas such as current state analysis, business recommendations, and process optimization.
- Continuously evaluate and fine-tune algorithms to improve accuracy, scalability, and performance.
- Collaborate with decision success, engineering, and product development teams.
- Present complex analytics and outcomes to non-technical stakeholders in a clear and actionable manner.

The company offers:
- Competitive salary and work equipment allowances.
- Flexible work schedule and paid personal time off.
- Collaborative team culture with cross-functional exposure to engineers, analysts, and business stakeholders.
- Opportunities for professional growth and learning.

What you’ll doк

Design, simulate, and balance slot mathematics that delight players, meet regulatory standards,

and achieve commercially proven KPIs.

Responsibilities

-

Devise complete mathematical models for video slots: pay-tables, feature probabilities,

RTP, volatility profiles, jackpots, and max exposure limits.

-

Build large-scale simulations (100 M+ spins) in Python to validate models, stress-test

edge cases, and generate compliance reports for labs (GLI, iTech Labs, etc.).

-

Collaborate with the team to align maths with theme, core loop, and business goals;

adjust parameters to hit target GGR, hit frequency, and retention curves.

-

Perform competitive teardown of market-leading titles, extract insights on why they

succeed, and translate findings into new concepts or balance tweaks.

-

Analyse live performance data, compare against forecasted curves, and recommend

tunings that optimise both player experience and operator revenue.

Requirements

-

2+ years in slot mathematics or equivalent quantitative role within released real-money

or F2P slots.

-

Hands-on participation in at least two commercially successful slot projects (e.g.,

top-ranked on SlotCatalog or GGR > $1 M in the first 90 days).

-

Strong command of probability theory, combinatorics, and statistical inference; ability to

explain complex math to non-technical stakeholders.

-

Proficiency with Python (NumPy, pandas, SciPy or similar) for simulations and data

analysis.

-

Working knowledge of regulatory requirements (MGA, UKGC, etc.) and

responsible-gaming constraints.

-

English B2+ for documentation and cross-team communication.

Nice to have

-

Experience building automated dashboards (SQL + BI tools) that track live KPI drift

against model baselines.

-

Familiarity with progressive jackpots, crash mechanics, or innovative reel formats (e.g.,

Megaways, Infinity Reels).

Engagement model

-

Part-time or contract format is acceptable, provided availability aligns with milestone

reviews and critical simulation passes.

We are looking for an experienced Tableau specialist to join our team on a part-time, freelance basis.
The main task will be to build data tables and dashboards focused on user Lifetime Value (LTV) analysis, as well as detailed breakdowns by traffic sources.

Responsibilities:

• Design and develop Tableau dashboards and reports based on provided datasets.
• Create LTV-focused tables, showing user value over time.
• Build traffic source breakdowns to analyze the performance of various acquisition channels.
• Ensure visualizations are clean, scalable, and easy to interpret.
• Optimize dashboards for performance and usability.
• Collaborate with the team to fine-tune requirements and deliver actionable insights.

Requirements:

• Proven experience working with Tableau (portfolio or examples of past work required).
• Strong understanding of LTV models and digital marketing KPIs.
• Ability to work with raw datasets and structure complex data.
• Familiarity with traffic source categorization and multi-channel attribution (preferred).
• Attention to detail and ability to deliver clean, logical, and insightful visualizations.

Terms:

• Part-time, freelance basis.
• Remote work.
• Flexible working hours with deadlines agreed in advance.
• Payment per project or hourly (to be discussed).

If you are interested and have relevant experience, please send your portfolio or examples of similar dashboards you have built.

🚀 Join RiskSeal as a Credit Risk Analyst!
 

This is a remote position. We are looking for a Credit Risk Data Scientist to enhance our credit risk models and explore innovative ways to use our data. The ideal candidate will have a strong analytical mindset, a deep understanding of credit risk modeling, and experience with data-driven decision-making. This role is crucial in testing, improving, and iterating on our risk assessment methodologies.
 

Responsibilities

• Design, build, and fine-tune credit risk models to improve prediction accuracy.
• Continuously explore new methodologies and data sources to enhance borrower risk assessments.
• Conduct A/B tests, backtesting, and performance evaluations of models.
• Work closely with development teams to deploy and maintain models in production.
• Develop and track key performance metrics related to credit risk.
• Stay up-to-date with the latest advancements in credit risk modeling and machine learning.
• Communicate insights and findings to internal teams and clients.
   

Requirements

• 3+ years of experience in credit risk modeling, data science, or a related field.
• Strong proficiency in statistical modeling, machine learning, and predictive analytics.
• Hands-on experience building credit risk models (PD, LGD, scorecards, alternative data).
• Proficiency in Python, SQL, or similar tools for data analysis and model development.
• Experience working with financial data and alternative credit scoring techniques.
• Ability to translate complex analytical insights into actionable business strategies.
• Strong problem-solving skills and attention to detail.

📩 Ready to Join?
Send your resume, and let’s achieve great results together! 

What We Offer

• A high-impact role in a fast-growing fintech startup.
• The opportunity to shape the future of alternative credit scoring.
• A flexible remote work environment with a focus on results.
• Competitive salary and benefits package.
• A chance to work with a team of passionate professionals in a rapidly evolving space.

📍 Remote | Full-time
Introduct Group is an international company contributing to software development excellency in tailored solutions to our customers worldwide.
The company is originally from Estonia, with headquarters in Kyiv and offices in other countries. Introduct Tech welcomes a talented professional to join our challenging and dynamic European project in Logistics Industry.
 

Introduct Group is an international company delivering tailored software solutions to clients worldwide. Founded in Estonia, with headquarters in Kyiv and offices across several countries, we combine global vision with local expertise.

We are currently seeking a results-oriented Tableau professional to join our dynamic European project in the Logistics Industry as part of our BI Team.

This team plays a critical role in delivering business intelligence services — from maintaining analytical data warehouses to creating insightful dashboards and supporting company-wide analytics initiatives.
 

Your Role

We’re looking for a senior-level Tableau expert who will:

• Analyze existing dashboards and suggest improvements
• Have at least 3 years of experience in a similar position
• Apply best practices to enhance performance and user experience
• Ensure data integrity and consistency across reports
• Document solutions and support the team through training and knowledge sharing
• Leverage your experience in Tableau performance tuning, data modeling, and stakeholder collaboration to drive measurable improvements
• Upper-intermediate English
   

What We Offer

• Competitive salary
• Fully remote work format
• Opportunities for professional development through English courses and training programs
• A friendly and professional team environment where your contributions truly matter

If you’re passionate about turning data into insights and helping teams perform at their best — we’d love to hear from you. Join Introduct and make your impact through BI.

This is a remote position. We are looking for a Data Scientist to enhance credit risk models and explore innovative ways to use data. The ideal candidate will have a strong analytical mindset, a deep understanding of credit risk modeling, and experience with data-driven decision-making. This role is crucial in testing, improving, and iterating on our risk assessment methodologies.

Responsibilities
- Design, build, and fine-tune credit risk models to improve prediction accuracy.
- Continuously explore new methodologies and data sources to enhance borrower risk
assessments.
- Conduct A/B tests, backtesting, and performance evaluations of models.
 - Work closely with development teams to deploy and maintain models in production.
- Develop and track key performance metrics related to credit risk.
- Stay up-to-date with the latest advancements in credit risk modeling and machine learning.
- Communicate insights and findings to internal teams and clients.

Requirements
-  3+ years of experience in credit risk modeling, data science, or a related field.
- Strong proficiency in statistical modeling, machine learning, and predictive analytics.
- Hands-on experience building credit risk models (PD, LGD, scorecards, alternative
data).
- Proficiency in Python, SQL, or similar tools for data analysis and model development.
- Experience working with financial data and alternative credit scoring techniques.
- Ability to translate complex analytical insights into actionable business strategies.
- Strong problem-solving skills and attention to detail.

What We Offer
- A high-impact role in a fast-growing fintech startup.
- The opportunity to shape the future of alternative credit scoring.
- A flexible remote work environment with a focus on results.

- Competitive salary and benefits package.
- A chance to work with a team of passionate professionals in a rapidly evolving space.

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries. 

About the Product:

Our client is a leading SaaS company offering pricing optimization solutions for e-commerce businesses. Its advanced technology utilizes big data, machine learning, and AI to assist customers in optimizing their pricing strategies and maximizing their profits.

About the Role:

As a Data Scientist you’ll play a critical role in shaping and enhancing our AI-driven pricing platform. 

Key Responsibilities:

• Develop and Optimize Advanced ML Models: Build, improve, and deploy machine learning and statistical models for forecasting demand, analyzing price elasticities, and recommending optimal pricing strategies.
• Lead End-to-End Data Science Projects: Own your projects fully, from conceptualization and experimentation through production deployment, monitoring, and iterative improvement.
• Innovate with Generative and Predictive AI Solutions: Leverage state-of-the-art generative and predictive modeling techniques to automate complex pricing scenarios and adapt to rapidly changing market dynamics.

Required Competence and Skills:

• A Master’s or PhD in Computer Science, Physics, Applied Mathematics or a related field, demonstrating a strong foundation in analytical thinking.
• At least 5 years of professional experience in end-to-end machine learning lifecycle (design, development, deployment, and monitoring).
• At least 5 years of professional experience with Python development, including OOP, writing production-grade code, testing, and optimization.
• At least 5 years of experience with data mining, statistical analysis, and effective data visualization techniques.
• Deep familiarity with modern ML/DL methods and frameworks (e.g., PyTorch, XGBoost, scikit-learn, statsmodels).
• Strong analytical skills combined with practical experience interpreting model outputs to drive business decisions.

Nice-to-Have:

• Practical knowledge of SQL and experience with large-scale data systems like Hadoop or Spark.
• Familiarity with MLOps tools and practices (CI/CD, model monitoring, data version control).
• Experience in reinforcement learning and Monte-Carlo methods.
• A solid grasp of microeconomic principles, including supply and demand dynamics, price elasticity, as well as econometrics.
• Experience with cloud services and platforms, preferably AWS.

Job Description

• Strong knowledge and proven experience with Machine Learning, Computer Vision and Deep Learning;
• At least 4 years of commercial experience in a related field;
• Self-manageable person, able to work with minimum supervision;
• Technically strong with Python, knowledge of any other programming language will be a plus;
• Proficiency with numpy, scipy, opencv, tensorflow;
• Proven ability design and implement complex algorithms, to work creatively and analytically in a problem-solving environment;
• Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or a related field;
• Strong communication and presentation skills for effective daily communication.

Job Responsibilities

GlobalLogic team has been involved for many years into development, deployment and support of many different areas of the solution. We are now looking for a talented Computer Vision engineer who will join our existing team and help us to grow existing capabilities of the product and add support for new sport types.

Part responsibilities will include

• Active participation in business promotion and grow by proposing new and/or non-standard ideas;
• Apply Machine Learning and Computer Vision technology to solve real problems for the market available product;
• Work on a new algorithm of determining players performance, score identification and others;
• Demo your work to team members and customer.

Department/Project Description

A product is an affordable alternative to traditional broadcast video capture system. We provide a full broadcasting solution for amateurs, broadcasters, sports leagues, clubs, coaches and consumers, offering unique, interactive and immersive viewing experiences.

The AI-based automated production solution provides the sports market with easy and affordable ways to produce and distribute high-quality game, player videos and performance analysis. The system consists of a unique panoramic camera head and standard computers running proprietary algorithms for Panoramic and HD video and camera control.
 
Giving an editing platform for multiple types of athletic events we establish the first end-to-end automated video and data solution in the sports industry. The product revolutionizes sports video with an automated online video editing system that enables coaches to simply and easily access game video break downs, saving them time and hassle. Our range of products include game analysis, game exchange, and video replay. We support all major team sports and caters to every level from youth, high school, college, through professional.