Job Title: Assistant Manager - Data Scientist
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.
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 endeavors 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 minimizing 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 Defense (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 & insights culture and careers to empower employees across Unilever
Rapidly embed analytics products, solutions and services to drive growth
Advance Information Automation at Scale
The Data Scientist role sit within the Data Science Centre of Excellence (CoE) team in D&A. This team builds state of the art machine learning algorithms, maximizing 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:
The Data Scientist improves business performance in the functional area of Unilever they serve, through the application of world class data science capability. They support delivery of data science on a range of projects.
With guidance from the Senior/Lead Data Scientist, understand business 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 organized 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 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) and presenting at team meetings
Provide ad-hoc & immediate support to the business when needed (for example Covid-19 crisis support)
Experience and qualifications required:
Standards of Leadership Required in This Role
Personal Mastery (Data-science and advanced analytics)
Passion for High Performance
Key Skills Required
Optimization techniques and tools
Data science platform tools e.g. MS Azure, Data bricks
Deep learning (and applications to NLP & Computer Vision)
Collaborative development using Git repos
Automated Machine Learning platforms
Strong communication and collaboration skills
Ability to influence laterally and vertically
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
Experience presenting insights to technical and non-technical colleagues
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
3rd party Data Science vendors
Connect with us
We’re always looking to connect with those who share an interest in a sustainable future.
Get in touch with Unilever PLC and specialist teams in our headquarters, or find contacts around the world.Contact us