Data Scientist Job Vacancy in Unilever Mumbai, Maharashtra – Updated today

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Full Details :
Company Name : Unilever
Location : Mumbai, Maharashtra
Position :

Job Description : Job Title: Data Science
Location: Bangalore/Mumbai
Background
For Unilever to remain competitive in the future, the business needs to continue on the path to become data intelligent. The Data & Analytics team will persevere to make Unilever Data Intelligent, powering key decisions with data, insights, advanced analytics and AI. Our ambition is to enable democratization of data, information and insights as a completely agile organization that builds fantastic careers for our people and is accountable for delivering great work that maximizes impact and delivers growth.
This Data & Analytics function endeavours to create clear accountability for all aspects of Data Strategy, Data Management, Information Management, Analytics, and Insights. We are accountable for impact of solutions, maintaining market relevance and minimising unnecessary overlaps in analytics products, ensuring simplicity and that our solutions better meet the needs of our users. We partner with the Digital and Data Legal Counsel to ensure that our Data Defence (Privacy, Governance, Quality, etc) is well structured and sufficiently robust to use data and AI correctly throughout the enterprise. We democratize information across the business, while supporting the culture shift required for data driven decision making.
Our vision is to make Unilever data intelligent, partnering with the business to power key decisions with data, advanced analytics and AI to accelerate growth. Our 5 strategies to achieve this are:
Accelerate & simplify access to relevant data, information and insights Build in-house, leading-edge data, information, insights & analytics capability Lead the data & insightsculture and careers to empower employees across Unilever Rapidly embed analytics products, solutions and services to drive growth Advance Information Automation at Scale
The Senior Data Scientist is an exciting role in the Data Science Centre of Excellence (CoE) team within D&A. This team builds state of the art machine learning algorithms, maximising the impact of D&A’s solutions in driving enterprise performance. Typical initiatives include optimizing trade promotion investments, accurately forecasting customer demand, using NLP to glean insight on consumer trends from search data, and making individual assortment recommendations for each of the millions of stores that sell Unilever products. The role will work closely with a D&A functional team such as Customer Development or Supply Chain along with business stakeholders, addressing both large transformation programs and near-term business problems.
Main Purpose of the Job:
Senior data scientist will be responsible for the development & deployment of state of art ML algorithms for enterprise level demand forecasting. This position requires development of ML/AI driven technical solution, build, deployment and run of the Forecast Engine Utility (FEU). FEU uses machine learning to produce one volume forecast for CD and SC demand with the target of 80% of volume being no touch. key responsibility, is monitoring, maintaining performance, designing changes and upgrades. Ensuring new builds meet design standards.
The Senior Data Scientist improves business performance in the functional area of Unilever they serve, through the application of world class data science capability. They own planning and delivery of data science on moderate projects or specific modules of a major global initiative.
Key accountabilities:
Development & Deployment of state of art ML/AI models for timeseries demand forecasting
Evaluation of FEU market models as per global data science design
Monitor the performance of FEU demand forecast and intervene with improvement as per the market needs
Provide new solutions to enhance the FEU demand forecast for new products, baseline, promotion lift and total forecast
Lead pilots and experiments to improve forecasting performance and scope
Industrialise and automate model build and run
Design and lead integration builds and testing
Implementation of scalable data science solution with market explainability features
Manage forecast run performance to achieve forecast accuracy, bias and no touch adoption targets
Responsible for technical strengthening of market data science models
Interact with relevant teams to identify business challenges where data science can help
Apply comprehensive data science knowledge to propose optimal techniques for key business challenges
Create detailed data science proposals and project plans, flagging any limitations of proposed solution
Design and prototype experimental solutions, particularly machine learning models
Facilitate industrialization and ongoing operation of solutions through well organised code, clear documentation and collaboration with ML Ops resources
Represent Data Science in cross-functional governance of projects, engaging with stakeholders up to Director level
Highlight recent developments in data science capability which could solve additional challenges
Lead a team of up to 1-2 data scientists / interns (WL2A), providing career mentorship and line management
Provide technical guidance to data scientists across D&A, particularly on the projects you lead
Support the growth of D&A’s 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 D&A’s data science capability within Unilever and externally, through activities such as community engagement (e.g. Yammer), publications or blogs
Provide ad-hoc & immediate support to the business when needed (for example Covid-19 crisis support)
Depending on the specific project, the Senior Data Scientist can expect 70-90% of their work to be hands-on prototyping solutions, with the remainder spent planning and designing, overseeing and reviewing work of project staff, interfacing with stakeholders and managing team members.
Experience and qualifications required:
Standards of Leadership Required in This Role
Personal Mastery (Data-science and advanced analytics)
Agility
Business acumen
Passion for High Performance
Key Skills Required
Professional Skills
Machine learning Expert
Statistical modelling Expert
Forecasting Expert
Explainable ML/AI Expert
Optimisation techniques and tools Fully Operational
Python coding Fully Operational
Data science platform tools e.g. MS Azure, Databricks Fully Operational
Deep learning (and applications to NLP & Computer Vision) Fully Operational
Collaborative development using Git repos Fully Operational
Automated Machine Learning platforms Foundational knowledge
While a broad data science technical background is required, the role will benefit from deeper skills (for example graduate studies or prior work experience) in one of the following areas, optimization, simulation, forecasting, natural language processing, computer vision or geospatial analysis.
General Skills
Project Management Expert
Communication / presentation skills Expert
3rd party resource management Expert
CPG Industry analytics Expert
Strong communication and stakeholder engagement skills are essential, including the ability to influence peers and senior business stakeholders across Unilever.
Relevant Experience:
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 5 years building data science solutions to solve business problems, preferably in the CPG industry (less experience may be acceptable if balanced by strong post-grad qualifications)
Experience with open source languages (eg. Python) and preferably with distributed computing (PySpark)
Experience deploying solutions in a modern cloud-based architecture
Experience managing the work of team members and 3rd party resource vendors
Experience presenting insights and influencing decisions of senior non-technical stakeholders

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