Senior Data Scientist

• Develop predictive models and machine learning solutions for business systems and commercial use cases
• Apply regression, classification, segmentation, forecasting and other statistical modelling techniques as appropriate
• Explore, clean, transform and analyse structured and unstructured data from multiple sources
• Build repeatable data-mining processes, including data sourcing, scraping where appropriate, feature engineering, modelling and evaluation
• Use Python and data science libraries such as pandas, NumPy, scikit-learn, SciPy and visualisation tools
• Translate business questions into analytical approaches, explain results clearly and make practical recommendations
• Support MSA Mining activities on the Azure stack; experience with Palantir Foundry is an advantage
• Support long-term Sales Data Science, including model development and statistical analysis
• Work closely with UK stakeholders and consulting teams, contributing to workshops, technical discussions and delivery planning
• Document assumptions, methodologies, model performance and limitations to support responsible use of data science solutions

• Senior-level data science experience, typically 5+ years in data science, advanced analytics or a related field
• Strong Python skills and practical experience with pandas and core data science libraries
• Experience developing regression models, statistical models, segmentations and machine learning solutions
• Strong understanding of statistics, exploratory data analysis, feature engineering and model evaluation
• Experience with data mining processes, data preparation and data scraping
• Ability to work with messy, real-world business data and convert it into useful analytical outputs
• Experience working in consulting or client-facing delivery environments
• Strong English communication skills and confidence working with UK-based stakeholders

Nice to have

• Experience with Microsoft Azure and Azure-based data/AI services
• Experience with Palantir Foundry
• Experience with PySpark, SQL, XGBoost, time-series forecasting or NLP
• Experience with data visualisation using Matplotlib, Seaborn or Plotly
• Experience supporting sales, bid, commercial or business-performance analytics
• Knowledge of Git, Docker or productionisation of data science models

• Rewarding employment full-time employment/b2b contract with a salary that matches your qualifications
• Hybrid work model - candidates are required to work from our Kraków or Warsaw office at least two days per week. The remaining working days may be performed remotely from home
• Flexible hours - start your day anytime between 730 and 1000 AM
• Comprehensive benefits, including Lux Med medical care, psychological support, life insurance, My Benefit cafeteria system, Multisport card co-financing, and a car/bike park sharing system
• Co-financed holidays - enjoy “Wczasy pod Gruszą” for a well-deserved break
• Global projects - engage in exciting international projects
• Inclusive networks - join our diverse employee networks like Women’s Network, OneWorld, PRISM, Careers Network, Green Team, SpeakUp, Collectively, and more
• Continuous learning - participate in our Graduate Development Program, Learners’ Community, and self-learning platforms
• Language courses - enhance your skills with courses in English, German, and Polish

At Jacobs, we’re challenging today to reinvent tomorrow by solving the world’s most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good.

Your impact

At Jacobs we’re challenging today to reinvent tomorrow by solving the world’s most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good.