Manager - Data Science - FMCG

Job Description :

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.

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 :

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

- Industrialize 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 organized 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.

Profile :

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 8 years (WL2A) 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

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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