IT&D Data Scientist & Analytics Manager

The IT&D function is responsible for the digital transformation of the organization with the objective of driving commercial value and business growth. We use technology as a strategic asset to deliver a competitive edge to our business to outperform in the market. Data-led insights and decision-making is a key pillar that enables this objective. We are on the lookout for a rockstar data scientist & analytics lead who brings the expertise of mining information and using cutting-edge AI/ML capabilities to deliver invaluable business insights.

This role will be responsible for the below key job specifications:

• Lead Reckitt South Asia s data stack evolution and strategy to enhance our reporting and analytics capabilities.
• Manage enterprise data model, data integrity, availability, and information confidentiality as its chief custodian.
• Collaborate with cross-functional teams to understand business needs & identifying opportunities and integrate analytics-driven solutions into their business processes.
• Leverage a profound understanding of mathematical & statistical principles in collaboration with sophisticated machine learning and decision-science algorithms and programming to solve key business challenges to deliver commercial value.
• Stay abreast with industry trends, emerging technologies and best practices in data science, bringing innovative ideas to improve organizational performance.
• As the regional product manager for data solutions, collaborate with the global product management to ensure strict adherence to guidelines, processes and templates and cross-pollination of best-practices.
• As member of the South Asia IT&D team strive to bring together our cross-functional experts through data and by constantly striving to improve the data literacy of the overall function.

• 8-10 years of experience post-qualification with significant experience in consumer goods/ durables/ retail/ food & beverages/ electronics/ retail industry with proven experience in using data science techniques for resolving business needs and challenges
• Demonstrated experience of industry, organizational and functional processes especially sales, supply and marketing.
• Comprehensive understanding of regression and classification algorithms with mathematical expertise. Proficiency in Python with relevant libraries and frameworks to address specific business problems (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience in data modelling, visualization and building/managing data pipelines with automations (ETL/power automate) will be essential.
• Great problem-solving skills and depth of business understanding is a key consideration.
• Demonstrated ability to manage multiple stakeholders, partner to influence outcomes, building convincing narratives and driving multiple initiatives is essential.
• Experience as individual contributor as well as in developing high-performance teams needed to ensure we are hiring a future leader who can grow in a global organization.