Assistant Cmi Manager Data Scientist Job In Hindustan Unilever In Mumbai, India

About UnileverUnilever is one of the world's leading suppliers of Food, Home and Personal Care products 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 Faced with the challenge of climate change and the need for human development, we want to move towards a world where everyone can live well and within the natural limits of the planet That's why our purpose is 'to make sustainable living commonplace'Our Marketeers create value by building more relevant and meaningful consumer relationships Our job is to offer the right product to the right person at the right time.

Whether you're bringing a trusted favourite to a new market, or launching something new, you'll see great products brought to life in the eyes of customers and consumers, creating relationships that can last generationsUnilever's Marketers are impactful Entrepreneurs in sustainable marketing and are increasingly focused on driving performance through brands with purpose brands which provide a positive change to people and to society We want to reach more people in more places more often with product truth enabling and empowering people to achieve great things for themselves, for our business, and for the world Our brilliantly different brands - brands that have a strong purpose, but where the product itself is also contributing towards a more sustainable planet - such as Knorr, Omo, Dove and Domestos are growing 30% faster than the rest of our portfolio and delivering over half of our growthThe role is based in our Mumbai head office.

JOB PURPOSEMarketing science and analytics has a rich and productive history within Unilever For over 30 years, the CMI Advanced Analytics Unit (AAU) has been the Global Centre of Excellence for driving the agenda throughout the company, ensuring our marketing is inspired by evidence and standard methodology We blend a strong understanding of our data sources (which describe our consumers, brands, categories and markets) with the technical modelling expertise to derive robust insights from these data sources, all packaged in tools and software that makes it easy and intuitive for the organisation in regards to decisionsToday, the demand for analytics to power our insight and decisions is far greater than ever before, as the range of data sources available to us grows exponentially, and the technology to make sense of it evolves daily It is imperative to be at the forefront of this revolution, ensuring that data-driven marketing becomes second nature whilst pushing the boundaries on what is possible through new modelling methodologies and democratize the power of analytics by building user-friendly interfaces, simulators to ensure wider adoption by business partners across the Unilever world.

In line with this vision, AAU has been renamed as Predictive Marketing and Shopping Analytics (PMSA) in CMIResponsibilitiesData Scientistwill be working in multi-functional project teams comprising of members from external agency partners and internal advanced analytics, business leadership teams The role of the project teams will be to design, build and embed large scale business relevant tools / capabilities in the area of data driven marketingResponsibilities ofData Scientistin the project teams will be to help

• Build Technical Capabilities: Explore, transform and integrate data from disparate sources / formats to create a holistic view, harness machine learning and AI to build predictive models to drive business outcomes, visualize and explain the model outcomes to business users in an intuitive way, ensure the models can be easily translated by deployment teams into production ready pipelines to run on an automated continual basis
• Embed and Evolve Capabilities: Support PMSA managers in embedding the outputs / outcomes from the tools with business stakeholders, train business users and CMI community on the use of the tools, help evaluate the capabilities and outputs of analytics partners, work with analytics partners to continuously challenge and improve the current models.
  
  

The key to success in the role is the ability to build and democratize at scale sophistication in predictive analytics which delivers better business outcomesAll About You

• Professionally qualified / relevant degree: Maths & statistics, Econometrics, Operational research, Data science
• 2+ years in analytics role in the commercial environment
• Technical expertise: Have experience with technical aspects of some of the requirements below It is fine not to have hands-on experience with all the areas outlined below but will be good to have experience in some of these areas and interest, ability to learn quickly on the other areas required on individual projects:
  • Expertise in Python, SQL, R:
    • ability to interrogate small and big data with proficient coding skills
    • knowledge (hands on modelling and business applications) of Machine learning techniques
    • ability to design, build and manage relational database
  • Beyond data science, good hang of statistical knowledge andoptimization techniquessuch as Bayesian models, Agent Based Models, Genetic Algorithms
  • Experience indata visualizationusing open-source programs such as Gephi, Python / R libraries as well as platforms such as Tableau & power BI will be an advantage
• Marketing & brand analytics:
  • Domain knowledge in marketing brand measurement methodologies (eg marketing mix modelling, digital attribution) , digital marketing campaigns, and campaign performance metrics is helpful

Hindustan Unilever is looking for .

Hindustan Unilever is looking for Any Graduate / Post Graduate profile candidates.