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Senior Data Scientist (eCom)

City:  Warszawa

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.

​IT & D​

In IT&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

As a Senior Data Scientist within our forward-thinking Global Data Science Team, you play a pivotal role in propelling our data and AI-centric strategy. Your work will span across various global projects and domains, harnessing data to deliver actionable insights and substantial business influence. With your expertise, you will drive the optimization of Amazon Ads through CPC recommendation engines, provide near-real-time bidding and sales strategies, and spearhead the integration of a recommendation engine for e-commerce campaigns in the Health and Hygiene sector.

Your responsibilities

  • Lead the development and implementation of Search CPC recommendation engine, focusing on bidding strategy optimization to enhance share of voice and revenue without impacting CPC.
  • Spearhead the Eventing Advanced Analytics project, offering near real-time recommendations on Amazon's sales strategies to maximize performance during key sales events.
  • Collaborate with stakeholders to integrate and scale the recommendation engines and advanced predictive models to drive e-commerce performance, ensuring effective audience and sales KPI management for DSP campaigns.
  • Engage in the end-to-end process of building and deploying machine learning models, from data preparation to model deployment, with a keen focus on advanced analytics for business decision-making.
  • Work on cloud-based analytics projects, particularly on Azure, to build custom data pipelines and connect with diverse data sources.
  • Contribute to the expansion of the Data Science community within the company and support the growth of the Center of Excellence.

The experience we're looking for

  • Proven experience in developing recommendation systems, predictive search, and utilizing NLP concepts.
  • Strong analytical skills with at least 3 years of hands-on experience in applying advanced analytical techniques to achieve practical business impacts.
  • Proficiency in Python and familiarity with other programming languages.
  • Deep understanding of machine learning, statistical methods, and their applications in business analytics.
  • Experience with Microsoft Azure Cloud and knowledge of other cloud platforms is a plus.
  • Excellent problem-solving skills, organizational abilities, and a desire to work in a dynamic team environment.
  • A university degree focused on quantitative methods, econometrics, statistics, mathematics, or related fields.
  • Proficiency in English, with additional languages considered a plus.

The skills for success

Data Science, Advanced Analytics, Artificial Intelligence, AI Strategy, Responsible AI, AI Governance, Machine Learning, Data Analytics, Cloud Computing

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.


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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