Data Science Manager

Job Title: Data Science Manager - AI Governance; Innovation   About the Tesco Data Science Team    At Tesco; our Data Science team focuses on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores; online; supply chain; marketing and Clubcard; where we encourage rotation amongst our Data Scientists so they can gain expertise in different subjects.    We work on several domains and problem types: online; pricing; security; fulfilment; distribution; property; IoT and computer vision are just some. Our team members spend 10% of their week on learning and personal development. Multiple academic collaborations enrich the team expertise; knowledge sharing events are regular. Furthermore; we have got a great work-life balance; team days and relaxed but engaging culture.      You will be   As a Data Science Manager; you will help shape and expand a highly skilled team of Data Scientists focused on delivering a better understanding of the business and optimising processes based on all available data.

At Tesco, we are committed to providing the best for you. As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day. Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits. Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable. Salary - Your fixed pay is the guaranteed pay as per your contract of employment. Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company's policy. Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF. Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws. Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents. Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request. Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan. Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle.

You will have the following responsibilities:    Owning the innovation process across all business and technical domains and leading the relevant development of data science algorithmic features Develop; implement and manage AI governance frameworks to ensure ethical and responsible AI practices; while monitoring compliance with relevant regulations and standards Setting up the team/projects for success by making sure that the projects they are responsible for are resourced appropriately and by unblocking difficult situations  Leading framing and scoping of Data Science problems across multiple projects  Line managing data scientists  Support; guide and mentor the team in their daily work  Help to define the strategic direction the overall team should take; trading off between contradicting priorities  Conduct risk assessments; collaborate with legal and technical teams to address governance issues; and educate employees on AI policies and procedures. Partnering with Engineering to the design complex software systems and influencing the wider team architecture  Promote data science across Tesco; and promote Tesco across the external Data Science community      Skills relevant for the Job     Mathematical & Statistical Understanding:    A strong numerical higher degree in a mathematical; scientific; engineering or computer science discipline with application to Data Science  The ability to use your academic knowledge and commercial experience to tackle specific business problems  An analytical mind set and the ability to use your academic knowledge to tackle specific business problems  A high-level expertise in Python  Strong background in Machine Learning  Experience with Software Engineering best practises (SDLC)  Experience in designing reliable and scalable ML systems Experience in open source big-data technologies and cloud  Experience of setting up and managing open source Data Science environments  AI Governance related Skills Knowledge of machine learning; data science; and AI ethics. Strong understanding of AI technology and ethical considerations Knowledge of legal and regulatory frameworks related to AI and data protection Experience in data governance and management Familiarity with risk management and compliance frameworks Ability to communicate complex technical concepts to non-technical stakeholders Management & Leadership Experience:    Proven track record of driving successful innovation projects. You have previously managed colleagues  Experience in hiring and building out high performing Data Science teams  You have experience in setting a strategic direction and running complex data science projects with multiple stakeholders  You can influence senior stakeholders and have a passion for implementing change  Experience in developing and managing partnerships with academic institutions   A background or strong understanding of the retail sector; logistics and/or ecommerce would be advantageous but is not required.  Experience relevant for the job  Experience of leading highly technical Data Science developments involving multiple stakeholders in AI governance Experience in collaborating with legal; compliance; and technical teams to address AI governance issues. Experience of coaching / mentoring others in technical approaches  Experience if leading and managing AI innovation projects from conception to implementation. Experience of partnering with technology teams to productionize developments and roll out at scale 

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Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers. Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues Tesco Technology Today, our Technology team consists of over 5,000 experts spread across the UK, Poland, Hungary, the Czech Republic, and India. In India, our Technology division includes teams dedicated to Engineering, Product, Programme, Service Desk and Operations, Systems Engineering, Security & Capability, Data Science, and other roles. At Tesco, our retail platform comprises a wide array of capabilities, value propositions, and products, essential for crafting exceptional retail experiences for our customers and colleagues across all channels and markets. This platform encompasses all aspects of our operations – from identifying and authenticating customers, managing products, pricing, promoting, enabling customers to discover products, facilitating payment, and ensuring delivery. By developing a comprehensive Retail Platform, we ensure that as customer touchpoints and devices evolve, we can consistently deliver seamless experiences. This adaptability allows us to respond flexibly without the need to overhaul our technology, thanks to the creation of capabilities we have built.