Title: Senior data scientist (CPG and retail) Educational qualification: BTech/Masters/PhD EY GDS is looking for a motivated, result oriented and quality focused experienced and skilled data scientist who has deep knowledge and expertise in developing CPG and retail analytics specific solutions. The candidate will be responsible for delivering high-quality analytical solutions to our clients in the CPG industry, using advanced techniques and technologies. Role Description: Lead and execute end-to-end analytics projects, from problem definition to solution delivery Apply your expertise in CPG-specific analytics, such as revenue growth management drivers (price, promotion, assortment), demand and supply management, product forecasting etc. Use Python and next-generation technologies to develop and deploy scalable and robust analytical models execute end-to-end projects involving problem definition, data acquisition, model development, validation, deployment and monitoring Architect and implement scalable and robust analytics solutions using Python and next generation technologies such as cloud, big data, AI/ML, etc. Architect and design data pipelines and frameworks to support analytics needs Manage client relationships and expectations, and communicate insights and recommendations effectively Translate business problems into analytics problems, and provide innovative and actionable solutions Mentor and coach junior data scientists and analysts Present and communicate the results and insights of the analytics solutions to clients and stakeholders in a clear and effective manner Work as a team, guide junior analysts and developers on the team Key Skills: 6-8 years of experience in analytics, with at least 5 years of experience in CPG analytics Strong expertise in the application of analytical and AI techniques, such as optimization, simulation, machine learning, deep learning, natural language processing, computer vision, etc. Knowledgeable with key analytics solutions in CPG/retail (price, promo, media, control test, assortment, transfer demand, shelf planning etc.) High expertise in Python and next generation technologies such as cloud, big data, AI/ML, etc. Proficient in Python and SQL programming Strong knowledge of Pandas and Numpy libraries. Excellent mathematical, statistical, and analytical skills. Understanding of end-to-end product development lifecycle in different environments such as dev, QA, and production. Git version control and Agile development experience. Experience in architecting and working on end-to-end analytics project lifecycle, including data acquisition, model development, validation, deployment and monitoring Ability to translate business problem into analytics problem and vice versa Excellent presentation and consulting skills Key Responsibilities: Execute end to end project delivery- scoping, solutioning, designing, developing, testing, deploying or maintaining. Ensuring the solutions meet the client requirements and expectations Communicate effectively with the clients and internal stakeholders throughout the project Identify new opportunities and work with managers to generate the proposals and plan Present the solutions and showcase the value proposition to senior stakeholders EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.