We’re Hiring Senior Data Science Manager

Job Title : Senior Data Science ManagerLocation : BangaloreFor Unilever to remain competitive in the future, the business needs to continue on the path to become data intelligent. The Data Foundation team will persevere to make Unilever Data Intelligent, powering key decisions with data, insights, advanced analytics and AI. Our ambition is to enable democratization of data, information and insights as ​a completely agile organization ​that builds fantastic careers for our people ​and is accountable for delivering great work ​that maximizes impact and delivers growth.This Data Foundation function endeavours to create clear accountability for all aspects of Data Strategy, Data Management, Information Management, Analytics, and Insights. We are accountable for impact of solutions, maintaining market relevance and minimising unnecessary overlaps in analytics products, ensuring simplicity and that our solutions better meet the needs of our users. We partner with the Digital and Data Legal Counsel to ensure that our Data Defence (Privacy, Governance, Quality, etc) is well structured and sufficiently robust to use data and AI correctly throughout the enterprise. We democratize information across the business, while supporting the culture shift required for data driven decision making.Our vision is to make Unilever data intelligent, partnering with the business to power key decisions with data, advanced analytics and AI to accelerate growth. Our 5 strategies to achieve this are:Accelerate & simplify access to relevant data, information and insightsBuild in-house, leading-edge data, information, insights & analytics capabilityLead the data & insights culture and careers to empower employees across UnileverRapidly embed analytics products, solutions and services to drive growthAdvance Information Automation at ScaleThe Lead Data Scientist is an exciting role in the Data Science Centre of Excellence (CoE) team within Data Foundation. This team builds state of the art machine learning algorithms, maximising the impact of our solutions in driving enterprise performance. Typical initiatives include optimizing trade promotion investments, accurately forecasting customer demand, using NLP to glean insight on consumer trends from search data, and making individual assortment recommendations for each of the millions of stores that sell Unilever products. The role will partner with Data Foundation’s XOps delivery teams, other technical CoEs, and our business stakeholders, addressing both large transformation programs and near-term business problems.Main Purpose of the Job:The Lead Data Scientist improves business performance in the functional area of Unilever they serve, through the application of world class data science capability. They have end to end ownership for data science on major global initiatives, to include data and modeling approach, technical design, and leadership of team members whether Unilever FTEs or 3rd party employees.Key accountabilities:Interact with relevant teams to identify business challenges where data science can helpApply comprehensive data science knowledge to propose optimal techniques for key business challengesCreate detailed data science proposals and project plans, flagging any limitations of proposed solutionDesign and prototype experimental solutions, particularly machine learning modelsDesign scaled solutions and ensure high quality and timely deliveryFacilitate industrialization and ongoing operation of solutions through well organised code, clear documentation and collaboration with ML Ops resourcesGovern the work of 3rd party vendors where needed to support delivery, while maximising creation of Unilever IPRepresent Data Science in cross-functional governance of projects, engaging with stakeholders up to VP levelHighlight recent developments in data science capability which could solve additional challenges, and recommend strategic areas of new capability to developLead a team of up to 10 Data Scientists and Senior Data Scientists, providing career mentorship and line managementProvide technical guidance to data scientists across DF, particularly on the projects you leadSupport the growth of DF’s data science capability by leading activities such as tool and vendor selection, best practice definition, recruitment, and creation of training materialsBuild the reputation of DF’s data science capability within Unilever and externally, through activities such as presenting up to exec level, DS community engagement, publications, blogs, speaking at conferences and participating in industry steering groups.Provide ad-hoc support to the business when neededDepending on the specific project, the Lead Data Scientist can expect 40-60% of their work to be hands-on prototyping solutions, with the remainder spent planning and designing, overseeing and reviewing work of project staff, interfacing with stakeholders and managing team members.Experience and qualifications required:(Detail essential and desirable experience)Key Skills RequiredProfessional Skills

• Machine learning Expert

Statistical modelling ExpertForecasting ExpertOptimisation techniques and tools Fully OperationalPython coding Fully OperationalData science platform tools e.g. MS Azure, Databricks Fully OperationalDeep learning (and applications to NLP & Computer Vision) Fully OperationalGenerative and agentic AI development Foundational knowledgeAutomated Machine Learning platforms Foundational knowledgeWhile a strong foundational knowledge of all the above skills is essential, there is some flexibility to shape the role around an individual with deep expertise either in the Forecasting and Optimization space, or in Generative and Agentic AI.General SkillsProject Management ExpertCommunication / presentation skills Expert3rd party resource management ExpertCPG Industry analytics ExpertStrong communication and stakeholder engagement skills are essential, including the ability to influence peers and senior business stakeholders across Unilever.Relevant Experience:Minimum of B.S. in a relevant technical field (e.g. Computer Science, Statistics, Engineering, Operations Research); preferably a postgraduate (Masters or Doctorate) degree10 years experience building data science solutions to solve business problems, preferably in the CPG industry (or 7-8 years for those with a PhD)Experience with open source languages (eg. Python) and equivalent tools for distributed computing (PySpark)Experience deploying solutions in a modern cloud-based architectureExperience managing the work of team members and 3rd party resource vendorsExperience presenting insights and influencing decisions of senior non-technical stakeholdersKey interfacesInternalUnilever operational, marketing, customer development, supply chain, product & finance teamsOther Data Foundation teams (XOps delivery squads; Data CoE; AI CoE, Engineering and Architecture CoE)External3rd party Data Science vendorsUniversitiesIndustry bodiesOur commitment to Equality, Diversity & InclusionUnilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.Note: “All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent—please verify before proceeding.”