Specialist, Data Science

About the role

Job Description : Job Title Specialist, Data Science About the Function: Our Digital and Technology (D&T) team are innovators, delivering ground-breaking solutions that will help shape the future of our iconic brands. Technology touches every part of our business, from the sourcing of sustainable ingredients to marketing and development of our online platforms. We utilise data insights to build competitive advantage, supporting our people to deliver value faster. Our D&T team includes some of the most talented digital professionals in the industry. Every day, we come together to push boundaries and innovate, shaping the digital solutions of tomorrow. Whatever your passion, we'll help you become the best you can be, creating career-defining work and delivering breakthrough thinking. Level: 5C Reports To: AVP Data Science Department: Data Science (Data Analytics & Insights) Location: Bangalore Context: Diageo, created in 1997 is a global leader in beverage alcohol with an outstanding collection of 200 brands across spirits and beer categories, enjoyed in more than 180 countries around the world. Our brands include Johnnie Walker, Crown Royal, J&B, Smirnoff, Cîroc, Ketel One, Captain Morgan, Baileys, Don Julio, Tanqueray and Guinness. Diageo has set up a Data, Analytics & Insights (DA&I) function within Diageo Business Services India Ltd. (DBSI) focused on demonstrating our core information assets (data, reporting, insights and advanced analytics capabilities) to better equip markets to improve their decisions and optimize their actions using improved data, insights and advanced analytics. D&AI under Digital & Technology as a capability is increasingly becoming a core enabler for Diageo, identifying and driving capabilities to improve innovation, performance, and differentiation across a wide range of functions and activities globally. Within D&AI, the Data Science team focuses on identifying, creating, and deploying ML and AI solutions globally, including handling the strategic roadmap that will advance our capability maturity and supply to performance throughout the Diageo enterprise. The Data Science team consists of authorities in advanced analytics, ML, statistics, DevOps, programming and strategic requirement identification and codification. The team works together with partners across the enterprise to ensure that our solutions are well designed, developed, deployed and adopted. We also work with external partners to accelerate our speed to market on programs. We are seeking a highly motivated and expert Data Science professional who will serve as an evangelist to power data and insights to enable decisions at Diageo. a) Financial The role will not have budget responsibility but will need to be financially aware of responsibilities and remain budget conscious and compliant. b) Market Environment This role works closely with partners and teams within DA&I, D&T and Regions/Markets c) Leadership Responsibilities: 1.Create Possibilities: You will need to support efforts to make things happen. 2.Demonstrate exceptional leadership around the Diageo values and behaviours 3.Grow yourself. Is enthusiastic -wants to make an impact. Is able to stay positive and overcome setbacks. 4.Be Authentic: Always acts with integrity. Focuses on what's important. Seeks feedback and acts upon it. d) Purpose of Role - Partner with Finance, HR, and Corporate Analytics teams to design, develop, and deploy AI, and ML solutions that enhance decision intelligence and operational efficiency across the enterprise. - Collaborate with senior partners to translate complex business challenges (workforce attrition, cost overruns, compliance risks, root-cause analysis for forecast variances, market estimations) into structured analytical frameworks with measurable outcomes. - Develop predictive and prescriptive models to drive smarter decision-making across: o Cash Flow Forecasting & Working Capital Optimization o Rewards, compensation, offers recommendation engine o Performance, Capability & Workforce Analytics o Insights from Surveys, Contracts, Policies & Other Unstructured Data (via NLP/GenAI). o Intelligent Agents for Forecast Variance Detection & Automated Root Cause Analysis o Enterprise KPI & Governance performance tracking - Communicate insights through compelling visualisations, storytelling, and clear business recommendations to drive measurable impact. - Stay abreast of innovative AI, GenAI, and Decision Intelligence advancements, proactively finding opportunities to embed innovation and automation across corporate workflows. e) Top 5-8 Accountabilities - Leverage structured and unstructured datasets (financial statements, contracts, IT logs, procurement data, employee engagement surveys, policy documents) to generate actionable insights that enhance operational efficiency, compliance oversight, and cost governance. - Build scalable analytics products & solutions to track corporate KPIs (attrition prediction, working