Senior Commercial Data Scientist | Romania or Poland

 

Country: Poland or Romania 
City: Warsaw or Bucharest 
Req ID: 514798
Job Type: Full Time Permanent   
Workplace Type: Hybrid
Seniority Level: Associate 

 

CRH is the leading global diversified building materials business in the world, employing more than 70,000 people at 3,100 locations worldwide. We manufacture and supply a diverse range of superior building materials and products, used extensively in the build environment, in infrastructure, housing and commercial construction projects, of all sizes, across the world. Each day, millions of people around the world come into contact with our materials and products which help fulfil the basic human need of shelter and the infrastructure we need for our societies to thrive.

 

CRH Central and Eastern Europe (CEE) is a strategic division within the company that encompasses a diverse portfolio of operations and business in the Eastern region. Comprising markets Poland, Hungary, Slovakia, Austria, Romania, Ukraine, Serbia, Croatia, Germany and Switzerland, the CEE region plays a crucial role in CRH’s global presence and growth strategy. 

 

As part of our ongoing commercial transformation, we are expanding our analytics capabilities and are now seeking a Senior Commercial Data Scientist to join our growing team. This is an opportunity to apply your expertise in an environment where your insights will help shape pricing strategies, customer engagement, and sales optimisation across multiple markets.

 

At CRH, we believe in creating a positive impact. That means empowering our people to think differently, innovate fearlessly, and bring fresh ideas to life. As a Senior Commercial Data Scientist, you’ll not only build advanced models but also influence strategic decisions, helping us reimagine what’s possible in the construction and building materials industry. This role can be based in either our CRH office in Warsaw, Poland or Bucharest, Romania, operating on a hybrid basis with occasional travel across the CEE region.

 

Key Responsibilities

 

• Build predictive models and optimisation algorithms to support pricing, forecasting, and margin management.
• Analyse large datasets to uncover patterns and opportunities for revenue growth and efficiency.
• Translate business challenges into data-driven solutions and clear recommendations.
• Design and evaluate experiments to measure the impact of commercial initiatives.
• Create dashboards and visualisations that communicate insights effectively.

 

The Ideal Candidate

 

The ideal candidate will be a commercially minded data scientist who combines strong technical expertise with the ability to deliver clear, actionable insights. You will have a proven track record of applying advanced analytics in complex business environments, directly influencing commercial decision-making.

We are looking for someone who can operate comfortably at both technical and strategic levels: building robust models and analytical solutions, while also engaging with senior stakeholders and influencing business strategy across multiple markets. In return, you’ll be part of an environment where you are empowered to own your work, trusted to deliver, and supported to grow your career in the way that suits you best.

 

Key requirements include:

 

• Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
• 5+ years’ experience in data science or advanced analytics, ideally within B2B or industrial sectors.
• Advanced proficiency in Python, SQL, and visualisation tools such as Power BI or Qlik.
• Strong knowledge of machine learning libraries (e.g., scikit-learn, XGBoost), statistical modelling, and experimental design.
• Excellent communication and stakeholder management skills, fluent in English (knowledge of a Central or Eastern European language is an advantage).
• Flexibility to travel across the CEE region when required.