IT&D Senior Data Scientist

<h2>We are Reckitt</h2> 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.<h2>About us</h2> <p>Join our Global Data &amp; Analytics team and embark on an exciting journey to unravel the hidden insights within vast data oceans. We're dedicated to empowering smarter decisions and delivering superior products to our global consumers and customers.</p><h2>About the role</h2> <p>As a member of our <strong>Global Data Science Chapter</strong>, you will play a key role in deriving insights from our data-driven solutions that empower our Marketing professionals to plan and optimize digital campaigns. Working in close collaboration with a cross-functional <strong>Product Squad</strong>, you will continuously provide feedback to <strong>improve predictive models</strong> and translate complex quantitative results into <strong>actionable insights for non-technical stakeholders.</strong></p><h2>You’ll Focus On: </h2> <ul> <li><strong>Business Impact:</strong> Execute test &amp; learn analyses to support decision-making for marketing and brand teams, driving measurable improvements in campaign performance, customer engagement, and ultimately, bottom-line impact. </li> <li><strong>Statistical Modeling:</strong> Executing and optimizing models - including regression, time series, and decomposition models - to maximize accuracy and incorporate expert feedback, while meeting performance standards. </li> <li><strong>Product Development:</strong> Extend the existing methodology to cover additional regional markets and product categories by including and processing additional data sources. </li> <li><strong>Cross-Functional Collaboration:</strong> Partner with product teams, consisting of Data Engineers, Software Developers, and Business Analysts, to identify and prioritize improvements to existing models and product capabilities. </li> <li><strong>Storytelling &amp; Communication:</strong> Translate complex analytical findings based on your solid understanding of statistics and econometrics into clear, compelling narratives using visualizations and business-friendly language. </li> <li><strong>Community Building:</strong> Actively contribute to our AI &amp; ML Community of Practice, sharing knowledge, and contributing to culture of continuous learning and innovation.  </li> </ul><h2>You will succeed because You have: </h2> <ul> <li><strong>Education:</strong> A Master’s or PhD in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics, or Quantitative Economics. </li> <li><strong>Experience:</strong> At least 3 year of hands-on deriving insights from complex quantitative models</li> <li><strong>Technical Expertise: </strong>  <ul> <li>Solid understanding of machine learning techniques (e.g., regression, classification, time series forecasting, clustering, explainable AI, autoML).</li> <li>Basic Python programming skills, experience with key libraries such as pandas, NumPy, scikit-learn, XGBoost, LightGBM, and statsmodels is a plus.</li> <li>Experience with Jupyter Notebooks, Databricks, ML Flow is a plus.</li> <li>Experience with BI tools like Power BI is a plus. </li> </ul> </li> <li><strong>Communication:</strong> Strong ability to communicate technical concepts to non-technical audiences. </li> <li><strong>Adaptability:</strong> A collaborative mindset and willingness to work with multiple technical and non-technical stakeholders. </li> <li><strong>Domain Knowledge</strong> in the area of marketing for FMCG (familiarity marketing concepts like media mix modelling, attribution modelling, market share data like Nielsen, ad performance analytics</li> </ul><h2>The skills for success</h2> <p>Data Science, Statistics, uantitative models, data analysis, marketing, digital marketing, nielsen, machine learning, predictive models, python, programming, FMCG</p><h2>What we offer</h2> 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.<h2>Equality</h2> We recognise that