Senior Data Science Manager Job Vacancy in Unilever Mumbai, Maharashtra – Updated today

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Company Name : Unilever
Location : Mumbai, Maharashtra
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Job Description : Job Title: Senior Data Science Manager
Location: Mumbai
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 a Senior Data Science Manager, Unilever for the in-market team in South Asia.
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!
Your Team: The Data & Analytics In-Market team helps our Unilever businesses win competitively in market using data, data science, and analytics. We leverage Our close engagement/ relationship with brands, marketing, supply chain and customer development leadership with a (highly technical) data science team to solve for both large transformation programs and near-term business problems. The team is composed of business interpreters, data scientists, and data experts who can: quickly understand the business context + problem, apply advanced mathematics and/or statistics to large data sets; and operate in cloud based environments where data, models, and user interfaces reside in the same platforms-core technologies
What you’ll lead in this role:
Design the data science strategy and roadmap for HUL and South Asia with the Head of Data & Analytics in-market
Specifically, this role will focus on working on in-market business problems coming from Customer Development, Supply Chain, and eCommerce.
You’ll partner and engage with business & transformation leads and teams to identify, evolve and fully understand the key business questions and how to deliver relevant insights that lead to actions.
Gather, analyse, and model data to solve complex business problems and evaluate scenarios to make predictions on potential future outcomes and support decision making.
Lead and mentor the junior data science team members reporting to you
Bring out the “art-of-possible” in data science from outside the organization by connecting with the start-up ecosystem, industry leaders and academia
Partner with the Global Unilever Data Science leadership on learning and product deployment in-market
Develop and manage key Partnerships with strategic and niche analytics service providers and delivery partners
Key Accountabilities:
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
from
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.
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 empirical research and for answering hard questions with data
Ability to apply an 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.
Data & Analytics in Unilever:
For Unilever to remain competitive in the future, the business needs to continue its path to become data intelligent. The Information and Analytics team is responsible for building data, data science and analytics as a core capability to help the business become data intelligent and drive business and organization performance. The team will deliver advanced products at scale and work closely with the market teams to ensure that decisions in Unilever are augmented with insight & recommendations wherever possible.
There are five major themes to the Information and Analytics strategy:
Deliver Intelligent systems at scale. Powering Business (cross functional), Customer Development area & Supply Chain through data and analytics. Building out the right applications to enable business teams to move faster, with more accurate and future looking decisions leveraging Big Data & Data Science
Winning disproportionately in Markets. We believe that the best way to move the needle for Unilever in Analytics is to work with leading geographies to create analytics products that make a significant impact on our business
Drive Unilever to assisted and predictive decision-making. The future is about assisted decision-making with machines (AI/Cognitive Computing/Machine Learning) unlocking the insights from vast deluge of consumer, customer & internal data, and presenting this in a way that is simple for our teams.
Make data a true asset. Better data and data science access for every part of Unilever, across the 3 -data framework (Connectivity, Growth, Continuous Improvement) and leading through the Enterprise Data Executive.
World-class Information: One Version of the Facts. Continued excellence in delivery of diagnostics and insights to focus attention when and where it matters with a focus on Big Bets, Strategic Initiatives and Leadership team reporting

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