Industry : Accounting / Finance / Audit
Job Description :
- The Lead Data Scientist improves business performance in the functional area of Unilever they serve, through the application of world class data science capability.
- They have end to end ownership for data science on major global initiatives, to include data and modeling approach, technical design, and leadership of team members whether Unilever FTEs or 3rd party employees.
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.
- 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 organized code, clear documentation and collaboration with ML Ops resources
- Govern the work of 3rd party vendors where needed to support delivery, while maximizing creation of Unilever IP
- Represent Data Science in cross-functional governance of projects, engaging with stakeholders up to VP level
- Highlight recent developments in data science capability which could solve additional challenges, and recommend strategic areas of new capability to develop
- 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 leading 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 presenting up to exec level, community engagement (e.g. Yammer), publications, blogs, speaking at conferences and participating in industry steering groups.
- Provide ad-hoc & immediate support to the business when needed (for example Covid-19 crisis support)
- Statistical modelling Expert
- Forecasting Expert
- Optimization 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 :
- Communication / presentation skills Expert
- 3rd party resource management Expert
- CPG Industry analytics Expert
- Experience with open source languages (eg. Python) and equivalent tools for 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
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.
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