Data Scientist
IT&D Senior Data Scientist
Warsaw
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We are Reckitt
Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose. Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege.
Information Technology & Digital
In IT and D, you'll be a force for good, whether you're championing cyber security, defining how we harness the power of technology to improve our business, or working with data to guide the innovation of consumer loved products.
Working globally across functions, you'll own your projects and process from start to finish, with the influence and visibility to achieve what needs to be done. And if you're willing to bring your ideas to the table, you'll get the support and investment to make them happen.
Your potential will never be wasted. You'll get the space and support to take your development to the next level. Every day, there will be opportunities to learn from peers and leaders through working on exciting, varied projects with real impact. And because our work spans so many different businesses, from Research and Product Development to Sales, you'll keep learning exciting new approaches.
About The Role
At Reckitt, we are transforming how we drive revenue growth through advanced analytics and our in-house product, RGMx. This is not a typical data science role - you will directly shape how pricing, promotions, and commercial decisions are made across markets.
We are seeking a skilled and innovative Senior Data Scientist who will be responsible for developing and enhancing the methodologies and algorithms that power our framework. You will play a key role in evolving our RGMx product, developing cutting-edge methodologies, and turning complex data into actionable strategies that drive measurable business impact. You will work at the intersection of data science, technology, and commercial strategy - partnering with cross-functional teams to push the boundaries of revenue growth management.
Your responsibilities
- Develop and implement advanced statistical and machine learning methodologies to improve the accuracy and effectiveness of the RGMx tool in alignment with priorities.
- Continuously test, validate, and refine models to ensure robustness, reliability, and business relevance.
- Design and build scalable data science solutions using Python, PySpark, SQL (optionally R or Julia).
- Work with modern cloud platforms such as Microsoft Azure and Databricks, integrating multiple data sources and optimizing data pipelines.
- Monitor and improve model performance in production, ensuring scalability and long-term sustainability (experience with MLOps, including CI/CD, model versioning).
- Collaborate with cross-functional teams to design, develop, and enhance the RGMx tool, ensuring it meets the needs of our stakeholders and translate complex business challenges into scalable data science solutions.
- Ensure high standards of code quality and maintainability by writing clean, modular, and maintainable code, and actively contributing to code reviews and engineering standards.
- Establish and promote consistent ways of working across the team, including coding standards, reproducibility, and documentation practices.
- Contribute to defining the right technology stack and algorithmic approaches for scalability, efficiency, and performance.
- Create clear and impactful visualizations and data products (dashboards, presentations) to communicate insights to both technical and non-technical audiences.
- Document methodologies, processes, and outputs to ensure transparency, reproducibility, and knowledge sharing
- Stay up to date with the latest developments in data science, machine learning, and revenue growth management to continuously improve the RGMx tool.
- Leverage deep understanding of FMCG market dynamics and sell-out (POS) data to ensure models reflect real-world behavior across pricing, promotions, assortment, and channels.
The experience we're looking for
- 2+ years of experience applying advanced analytics to real-world business challenges (pricing, sales, revenue optimization), from prototype to measurable impact.
- University Degree in Data Science, Computer Science, Econometrics, Mathematics, or a related quantitative discipline.
- Solid understanding of machine learning techniques (regression, classification, time series, clustering, explainable AI) and their practical application.
- Proficiency in Python (pandas, NumPy, scikit-learn, XGBoost, LightGBM, statsmodels) and strong SQL skills for working with complex datasets.
- Experience with cloud and big data environments (e.g., Microsoft Azure, Apache Spark) and familiarity with MLOps tools (MLflow, Airflow).
- Good knowledge of software engineering best practices, including Git, testing, and CI/CD pipelines.
- Ability to translate complex analytical outputs into clear, actionable insights for non-technical stakeholders.
- Experience working in Agile, cross-functional teams and collaborating with business and technical functions.
- Proactive, curious, and ownership-driven mindset with a strong focus on quality and continuous improvement.
- Understanding of FMCG market dynamics and experience with POS (sell-out) data, including pricing, promotions, and assortment challenges
You’ll love it because…
- It is a unique opportunity to shape how data and advanced analytics drive commercial decisions across markets—directly influencing pricing, promotions, and growth for globally recognized brands.
- Work deployed into real business processes, driving tangible impact and powering decisions used daily across the organization.
- High level of ownership and autonomy, with the ability to turn ideas into scalable products.
- Collaboration with talented, cross-functional teams in an international environment.
- An ownership-driven culture that invests in growth, challenges boundaries, and supports doing your best work.
The skills for success
Data Governance, Data Privacy, Data Warehousing, ETL Tools, Data Modelling, Data Visualisation, Agile Best Practices, Compliance Management, Communication and Collaboration, Problem Solving, Attention to Detail, Mentoring and Coaching.
What we offer
With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way. We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy.
Equality
We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you. All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.
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