Senior Data Scientist

Jacobs Engineering Group Inc.

Kraków

Hybrid

PLN 180,000 - 240,000

Full time

12 hours ago
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Benefits offered by this job

Full-time/B2B
Hybrid work
Flexible hours
Benefits package
Global projects
Learning programs
Language courses

Job summary

Jacobs Engineering Group Inc. is seeking a Senior Data Scientist to support internal initiatives across MSA Mining and Sales Data Science.

The role combines predictive modelling, statistics, ML, and data mining with consulting-style collaboration across the UK market. You will help build models that enhance understanding of business systems and support data-driven commercial decisions, working with UK stakeholders and delivering actionable insights.

Qualifications

  • Senior-level data science experience, typically 5+ years in analytics or related field.
  • Strong Python skills with pandas and core data science libraries.
  • Experience building regression, ML models, and statistical analyses.
  • Ability to work with messy business data and deliver actionable outputs.
  • Experience in consulting or client-facing delivery environments.

Responsibilities

  • 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.

Skills

Python
Pandas
Machine learning
Statistics
Data mining
English
Consulting
SQL
PySpark

Tools

Azure
Palantir Foundry
Plotly
Matplotlib
Seaborn
Docker
Git

Job description

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.

We are seeking a Senior Data Scientist to support internal Jacobs initiatives across MSA Mining and Sales Data Science. This replacement role will combine predictive modelling, statistical analysis, machine learning and data mining with consulting-style collaboration across the UK market. You will help build models that improve understanding of business systems and support data-driven commercial decisions.

Key Responsibilities
  • 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
Here's what you'll need
  • 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
We offer
  • Rewarding employment full‑time employment/b2b contract with a salary that matches your qualifications
  • Hybrid work model - enjoy the flexibility of working from home, with just several office days per month
  • Flexible hours - start your day anytime between 7:30 and 10:00 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
  • 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 recruitmentpoland@jacobs.com

We know that if we are inclusive, we’re more connected, and if we are diverse, we’re more creative. We accept people for who they are, regardless of age, disabilities, gender identity, gender expression, marital status, mental health, race, faith or belief, sexual orientation, socioeconomic background, and whether you’re pregnant or on family leave. Find out more about life at Jacobs. As a Disability Confident employer, we will interview all disabled applicants who meet the criteria for a vacancy. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team [1]

Your application experience is important to us, and we’re keen to adapt to make every interaction even better. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team via Careers Support.

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