Senior Quantitative Data Scientist

Senior Quantitative Data Scientist

Sports Modelling & Probability | Predictive Analytics, Dynamic Pricing & Statistical Models

The Mission

West Code is looking for experienced Quantitative Data Scientists for technology projects involving predictive modelling, probability estimation and data-driven decision systems.

We are particularly interested in specialists who combine strong statistical foundations with practical experience developing, validating and deploying predictive models in complex, data-rich environments.

Depending on the project, you may work on sports prediction models, event probability estimation, real-time analytics, dynamic pricing or decision-support systems based on continuously changing data.

What You’ll Work On

• statistical and probabilistic models for event prediction

• predictive modelling using historical and real-time data

• probability estimation and model calibration

• development of models supporting dynamic pricing and decision-making

• analysis of complex event sequences and time-dependent variables

• feature engineering and selection

• Monte Carlo simulations and scenario analysis

• evaluation of model accuracy, stability and performance

• model backtesting and validation

• integration of predictive models with production data platforms

• collaboration with Data Engineers, Software Engineers and domain specialists

Technology

We are particularly interested in specialists working with Python, NumPy, pandas, SciPy, scikit-learn and SQL.

Depending on the project, typical environments may also include XGBoost, LightGBM, PyTorch, TensorFlow, Bayesian modelling frameworks, MLflow, Docker and cloud platforms.

Strong foundations in probability theory, statistical inference, optimization and quantitative modelling are essential.

Must Have

• 5+ years of professional experience in Data Science, quantitative research, statistical modelling or related fields

• strong Python programming skills

• advanced knowledge of probability theory and statistics

• practical experience developing and validating predictive models

• experience with statistical inference, regression and probabilistic modelling

• strong feature engineering and data analysis skills

• experience with model evaluation, backtesting and calibration

• good SQL skills

• ability to translate complex analytical problems into mathematical models

• understanding of model limitations, uncertainty and data quality

• good English

• ability to communicate quantitative findings to technical and business stakeholders

Strong Advantage

• commercial experience in sports analytics, sports modelling or betting technology

• probability models for football, basketball, tennis or other sports

• pre-match or in-play probability estimation

• odds compilation, pricing models or sportsbook analytics

• Poisson-based models, Bayesian methods or Monte Carlo simulations

• time-dependent and event-driven predictive models

• real-time model inference and continuous model updates

• quantitative finance, algorithmic trading or financial risk modelling

• dynamic pricing or optimization systems

• experience with correlated outcomes and complex probability distributions

• production deployment and monitoring of statistical or machine learning models

• experience working with large historical event datasets

Working Model

• B2B cooperation

• remote or hybrid work depending on the project

• projects involving quantitative modelling, predictive analytics and real-time decision systems

• international engineering and analytical teams

• English used on most projects

B2B Rate

160–220 PLN/h + VAT

Final rate depends on seniority, quantitative expertise, domain experience and project scope.

Why West Code

West Code builds engineering teams around ownership and strong technical delivery, not just individual roles.

We work on technology challenges where statistical modelling, software engineering and domain expertise come together to support real business decisions.

Our approach combines experienced specialists, AI-enabled delivery practices and accountability for the quality of what we build.

We are particularly interested in quantitative systems where model accuracy, uncertainty, changing conditions and production reliability all matter.

You will have the opportunity to contribute to complex analytical solutions where models are not just experiments, but components of real operational systems.

If you have strong quantitative modelling experience and enjoy turning complex data into reliable predictive systems, apply and let's talk.

Tech stack

• Python
• Statistics
• Probability
• Machine Learning