Senior Manager - Data Science - FMCG

Job Description :

- This is an exciting role in the Data & Analytics team partnering the 2nd largest Unilever business HUL. Unlocking growth, consumer and customer value while driving efficiencies and building future ready capabilities using business analytics, ML & AI is core to what we do everyday!

Client Details :

Page Group are proud to be partnering with Unilever to support an ambitious global expansion on their Data & Analytics capabilities - investing further into technology for a sustainable, ethical and inclusive future.- Unilever is one of the world's largest consumer goods companies, with sales in over 190 countries and reaching 2 billion consumers a day. Unilever has more than 400 brands found in homes around the world, including Persil, Dove, Knorr, Domestos, Hellmann's, Lipton, Wall's, PG Tips, Ben & Jerry's, Marmite, Magnum and Lynx. We are known for our great brands, a global footprint and our belief in doing business the right way.

UNILEVER DATA & ANALYTICS :

Data & Analytics has a purpose to make Unilever Data Intelligent by powering key decisions with data, advanced analytics and AI.

The vision of a Future-Fit Unilever is of an organisation powered by data throughout all aspects of the company's operations and processes; leveraging data to vastly improve innovation and build stronger brands, drive excellence in execution with our customers, enhance the consumer experience through personalisation and deeper engagement, and transforming our internal operations to run more efficiently.

Our team of Data & Analytics specialists operate in every part of our business and we are looking to grow our capabilities with tomorrow's stars. A unique opportunity to work in a data and analytics role, with one of the strongest FMCG brands in the world, giving you the ability to link your work directly with business growth, and working on cutting edge technology in an innovative environment. Your role will have direct impact on Unilever's purpose: to make sustainable living common place.

Description :

- Build and deliver the joint business plan priorities between Data & Analytics team and the market leadership teams.

- Build data-science and algorithmic solutions to address business problems requiring descriptive, diagnostic, predictive, and / or prescriptive analytics

- Position analytics as a tradable "currency" with retailers who the market is attempting to get new data

- Drive new value from insights from connecting external and internal data sources

- Innovate new data and analytic methodologies driven by local needs which feed into global product pipeline

- E2E accountability of quality of recommendations, insights and data science solutions developed and deployed in market

- Budget and project management for Data Science initiatives

- There will have 2-5 Unilever FTEs direct/indirect reporting into this role, and between 2-5 third party contractors this role is accountable for.

Profile :

Relevant Experience :

- B.S. or M.S. in a relevant technical field (Operations Research, Computer Science, Statistics, Business Analytics, Econometrics, or Mathematics). Overall experience of 8+ years preferred

- Experience in either setting up and managing an organization wide data science team is a must (3-4years).

- Strong track record in solving analytical problems using quantitative and statistical approaches

- Expert knowledge in one or more of the following : marketing analytics, recommendation engines, forecasting, and investment optimization.

- A sound understanding of fundamental data science techniques like XGBoost, LGB, LSTMs, and optimization techniques like Genetic Algorithms.

- Experience in designing end to end architectures on Azure and building scalable solutions using MLOps.

- Ability to manipulate and analyse complex, high-volume, high-dimensionality data from varying sources (Nielsen, SAP, Retailer ePOS; both structured and non-structured data)

- Experienced knowledge working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive)

- Passion for research and for answering hard questions with data

- Ability to apply an empirical agile analytic approach that allows for results at varying levels of precision

- Ability to communicate complex quantitative insights in a precise, and actionable manner to business stakeholders.

Job Offer :

- Rewards and benefits are just one part of the reason Unilever is a great place to work. We offer significant benefits, including a strong bonus, healthcare options, company share scheme, professional membership support and much more. In addition, there are a wide range of options around flexible working for the future.

We offer a supportive and inclusive working environment that enables you to learn, develop and be the best you can in a role that suits you. We're committed to building an inclusive culture where everyone working at Unilever feels able to bring their complete and authentic self to work.

Page Group India is acting as an Employment Agency in relation to this vacancy.

Contact - Sanya Seth - +91 22 4236 3203

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