Company Details

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Assignment Details

Our client, a leading global FMCG organisation, is looking to engage with Junior Data Science Consultants.

Key accountabilities:

•With guidance from the Senior/Lead Data Scientist, understandbusiness challenges and the planned data science solutions
•Contribute refinements to the plan through your own data science knowledge
•Prototype experimental solutions, particularly machine learning models
•Where required, support the build of scaled solutions
•Facilitate industrialization and ongoing operation of solutions through well organised code, clear documentation and collaboration with ML Ops resources
•Interact with stakeholder teams, clearly communicating relevant data science issues
•Support your data science peers with technical advice in your areas of expertise
•Support the growth of Data and Analytics Team data science capability by contributing to activities such as tool and vendor selection, best practice definition, recruitment, and creation of training materials
•Build the reputation of Data and Analytics Team data science capability within Unilever and externally, through activities such as community engagement (e.g. Yammer) and presenting at team meetings
•Provide ad-hoc & immediate support to the business when needed (for example Covid-19 crisis support)

Please note - The consultant will have to be present at the client side (Bangalore) for the project duration.

Skills Required

Professional Skills
• Machine learning
• Statistical modelling
• Forecasting
• Optimisation techniques and tools
• Python coding
• Data science platform tools e.g. MS Azure, Databricks
• Deep learning (and applications to NLP & Computer Vision)
• Collaborative development using Git repos
• Automated Machine Learning platforms

•Minimum of B.S. in a relevant technical field (e.g. Computer Science, Engineering, Statistics, Operations Research); preferably a postgraduate (Masters or Doctorate) degree
•At least 2 years building data science solutions to solve business problems, preferably in the CPG industry
•Experience with open source languages (eg. Python) and equivalent tools for distributed computing (PySpark)
•Experience deploying solutions in a modern cloud-based architecture