Senior Data Scientist

Job Description

Job Title :Senior Data Scientist

Location : Bangalore, India

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.

ABOUT UNIOPS:

Unilever Operations (UniOps) is the global technology and operations engine of Unilever offering business services, technology, and enterprise solutions. UniOps serves over 190 locations and through a network of specialized service lines and partners delivers insights and innovations, user experiences and end-to-end seamless delivery making Unilever Purpose Led and Future Fit.

Main Purpose of the Job:

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 delivery of data science on moderate projects or specific modules of a major global initiative.

Key accountabilities:

- 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

- Design scaled solutions and ensure high quality and timely delivery

- Facilitate industrialization and ongoing operation of solutions through well organised code, clear documentation and collaboration with ML Ops resources

- Govern the work of 3rd party vendors where needed to support delivery, while maximising creation of Unilever IP

- 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 1-2 data scientists / interns, 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 60-90% 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.

Key Skills Required

Professional Skills

- Machine learning-Expert

- Statistical modelling- Expert

- Forecasting-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.E. in a relevant technical field (e.g. Computer Science, Engineering, Statistics, Operations Research) preferably a postgraduate (Masters or Doctorate) degree

- At least 4 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

Key interfaces

Internal

- Unilever operational, marketing, customer development, supply chain, product & finance teams

- Internal D&A teams (Engagement teams Data CoE Solution Factory BDL Factory Information Factory Tech Transformation)

- Wider Unilever analytics and data science professionals

External

- 3rd party Data Science vendors

- Universities

- Industry bodies

Our commitment to Equality, Diversity & Inclusion

Unilever embraces diversity and encourages applicants from all walks of life This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.

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