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Assistant Manager, Product Data Science

Job ID:
Data & Analytics
Bengaluru, Karnataka
Date posted:

Job Title:Data Science Product Lead

Location:Bangalore, India


Be part of the world’s most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us. We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good. Unleash your curiosity, challenge ideas and disrupt processes; use your energy to make this happen. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best. Every day, nine out of ten Indian households use our products to feel good, look good and get more out of life – giving us a unique opportunity to build a brighter future.

Every individual here can bring their purpose to life through their work. Join us and you’ll be surrounded by inspiring leaders and supportive peers. Among them, you’ll channel your purpose, bring fresh ideas to the table, and simply be you. As you work to make a real impact on the business and the world, we’ll work to help you become a better you.

We are looking to hirea Data Science Product Leadbased inBangalore, India.

Job Summary:

This role supports and leads the ideation, implementation, landing & the change management/activation of predictive analytics capabilities in the identified markets/functions/Country Category Business Teams as applicable partnering with the markets stakeholders and key business SMEs leveraging the support from 3rd party supplier partners as applicable.

Works as an embedded part of the Analytics products team to build out the product roadmap delivery . This role will require an understanding of the Performance management process and how to drive business outcomes.     

Key Accountabilities:

- Lead the deployment of Unilever predictive insights capabilities in new markets & establish the proof of value.

- Spearhead engagements with Country Category Business Teams in markets to understand the category context & align on the right levels at which predictive models need to be built to unlock data driven decisions.

- Passionate about data driven decisions to champion to adoption of ML/AI driven insights into day-to-day decisions.

- Create compelling user stories with consumable Predictive capability driven insights for the market from the modelling results and enable landing of the same in market.

- Drive value from insights by leveraging the right mix of external data (Retailer, Econometric, Panel etc) & various internal data sources and provide support on market specific data needs, 

- Interface across multiple teams including across country cluster business teams, data experts, Data Science CoE, key business counterparts and align on data, modelling and activation needs.

Key Requirements:

Must Have Skills:

The ideal candidate will be a well-rounded analytics and data professional. They will have a deep knowledge of operations and the value chain in a consumer goods company, that is complemented by application of AI, ML, ,data management, data strategy or business information intelligence, and emerging technologies required to deliver a world class data predictive analytics service.

Key Skills Required

  • Experience in business engagement, advanced analytics product management with compelling story telling skills.

  • 3-5years’ experience in CPG (i.e. Consumer Packaged Goods) with an understanding of application of data science for business needs. A functional understanding across Finance, Marketing, Supply Chain, Media domains is desirable.

  • Experience of working in an environment rich in ML driven deliveries to business. 

  • Strong track record of working with business stakeholders to drive definition, alignment, and support for application of data science and data to address complex business issues 

  • In-depth expertise on Data ecosystems and ability to tease out the data signals from legacy source systems.

  • Deep understanding of Data and Integration in the Data Lifecycle management

  • Ability to manage multiple requests and priorities simultaneously in a highly VUCA and competitive market.

  • Comfortable working in a virtual environment

Professional Skills

  • Analytics Product Lifecycle Management – Practitioner

  • Hands-on Predictive Analytics & Modeling– Expert

  • Business Analytics - Foundation

  • Data Visualisation – Foundation / Practitioner

  • Agile – Foundation

  • Business Acumen - Working Knowledge 

  • Data domain knowledge / exploitation - Working Knowledge

Leadership Skills

Demonstrates strong "Inner game":

  • Personal drive and ability to inspire and engage others towards action

  • Personal mastery –emotionally resilient; always bringing the best of themselves

  • Agile – intellectually curious, constantly looking to develop, embraces change with sense of urgency and enjoys positively challenging status quo

Demonstrates great "Outer game":

  • Credible business acumen – shows understanding of business, commercials and performance metrics.  Has gravitas to effectively influence senior stakeholder within a functional and business context

  • Encourages experimentation, bringing the outside in, and intelligent risk taking

  • Brings the voice of the consumer and internal customer into everything they do 

  • Passion for high performance – creating motivation and focus to drive execution at speed


  • B.E. / MTech or M.S. in a relevant technical field (Operations Research, Computer Science, Statistics, Business Analytics, Econometrics, or Mathematics). Experience of 3-5 years preferred.

  • Prior experience in Retail, Consumer Goods (CPG), eCommerce would be desirable.

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