Assistant Manager, Product Data Science Lead

Key Skills

Data science techniques, AI technology, Data Modelling, Predictive analytics

Job Description

Job Title: Assistant Manager, Product Data Science Lead

Location: Bangalore

ABOUT UNILEVER:
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 hire an Assistant Manager, Product Data Science Lead based in Bangalore.

Main Purpose of the role:

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.

Job Summary:

Works as an embedded part of the Analytics products team to build out the product roadmap delivery of Livewire Developed market template. This role will require an understanding of the Performance management process and how the products are driving 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.
• Actively lead Proof of Concepts with lead brands in chosen markets by bringing together the rich experience across diverse markets,
• Manage queries and expectations from market champions.
• Actively embed insights gained from predictive capabilities into market processes to smoothly transition and advance the program from PoC to the run mode/steady state.
• Explore data industrialization Opportunities to launch the Predictive Application at scale. Assess value unlock from the product to build a strong business case for scale out to more brands and categories.
• Review and deploy product backlog with help of requisite teams and lead product testing.

Key Requirements:

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.

• Experience in business engagement, advanced analytics product management with compelling story telling skills.
• 3-5 years’ 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