Data Scientist

**COMPANY PROFILE**:
At Unilever you are more than your job title, you are 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 produce world-leading brands including Lipton, Knorr, Dove, Axe, Hellmann’s and Omo, alongside trusted local names and innovative-forward thinking brands like Ben & Jerry’s, The Dollar Shave Club and Surf.

Be part of the most successful purpose-led business in the world. Have the opportunity to see the true impact that you’re having in the work you do - every small thing counts.
**JOB SCOPE**:
UL is driving digital transformation deliver 4G growth. Our mission is to transform our organization to a digital first culture, delivered by a world-class data and insights team, leaping ahead of our competition in everything we do.

UL’s D&A Market teams will lead the path for UL to become data-intelligent. The team will do this by delivering advanced products at scale, enabling UL functions, UniOps and leadership teams to turn data into insights, actions and decisions at a faster pace than ever before to achieve competitive edge for UL.

Each Market team consisting of technical (data engineering and science) expertise as well as functional business insight generation expertise (e.g. Finance, CMI, CD) will work with other Market teams and the D&A Global team to ensure that insights discovered locally are joined up and enhanced with regional/globally-discovered or researched insights to enable joined-up recommendations and decisions aimed at driving incremental growth by meeting the needs of our consumers, customers and employees.

With the ULE looking to D&A Market teams to power the exponential growth of UL in an in increasingly VUCA (volatile, uncertain, complex and ambiguous) context, it is imperative that D&A Market teams are organised to be highly adaptive and flexible to demand, fast-changing priorities and emergent opportunities. To do this, it will be important for the D&A Market team to have an agile mindset, org structure and ways of working (beyond agile tools and techniques) - i.e. able to embrace uncertainty, ambiguity, and to create structure out of chaos.

There are five major themes in the Data and Analytics global strategy that will relate to the work of D&A Market teams:

- **
- **
Winning disproportionately**. Creating analytics products that make a significant impact on our business and drive competitive advantage in the market, while collaborating appropriately with other markets and Global teams (i.e. winning both locally and globally for UL).
- **
Drive Unilever to assisted and predictive decision-making.** The future is about assisted decision-making with machines (AI/Cognitive Computing/Machine Learning) unlocking the insights from vast deluge of consumer, customer & internal data, and presenting this in a way that is simple for our teams.
- **
Make data a true asset.** Better data and data science access for every part of Unilever, across the 3 data framework (Connectivity, Growth, Continuous Improvement) and leading through the Enterprise Data Executive.
- **
World-class Information.** One Version of the Facts. Continued excellence in delivery of diagnostics and insights to focus attention when and where it matters with a focus on Big Bets, Strategic Initiatives and Leadership team reporting
**ROLES & RESPONSIBILITIES**
**Team’s Responsibilities**:
This team is responsible for managing the market’s demand for data, analytics and insights. It will lead data analytics, data warehousing, research development and implementation of appropriate data systems and analytic solutions. It is also responsible for streamlining in-scope processes related to data analytics and insights generation in the market, through automating, consolidating and eliminating them where appropriate to deliver a seamless, fast insights-generation experience using tooling provided by the Global D&A team.

We are looking for an experiences Data Scientist help to create competitive advantage for UL through assisted and predicted decision making. The role works closely with the NAMETRUB D&A Team and Global D&A Data science organisation.
**Main Job Purpose**:
**Main accountabilities**:

- Understand the business problems and how to deliver relevant insights that lead to actions
- Gather data and build data-science and algorithmic solutions to address business problems requiring descriptive, diagnostic, predictive, and / or prescriptive analytics
- Create experimentation to solve complex business problems and deliver predictions on future business outcomes in a repeatable and relevant way
- Support product teams scaling models into low-touch solutions to provide optimal ROI from data science
- Work on in-market business problems coming from CCBTs, CD, Finance and CLT. Identify common themes to build repeatable models and partner with CD, CCBT, Finance l