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 t o 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 endeavours 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 minimising 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 Defence (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

　　Th e Senior Data Scientist is an exciting role in the Data Science Centre of Excellence ( CoE ) team within D& A. Th is team builds state of the art machine learning algorithms , maximising 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.

　　Interact with relevant teams to identify business challenges where data science c an help

　　Apply comprehensive data science knowledg e to propos e 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 e nsure 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 3 rd party vendors where needed to support delivery, while maximising creation of Unilever IP

　　Re present 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 , p rovid ing career mentorship and line management

　　Provide technical gu idance to data scientists across D&A, part icularly 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 capabilit y within Unilever and externally , through activities such as community engagement (e.g. Yammer) , publication s or blogs

　　What You'll Need to Succeed

　　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 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 3 rd party resource vendors

　　Experience presenting insights and influencing decisions of senior non-technical stakeholders

　　Pay: The pay range for this position is $96,000 to $143,900. Unilever takes into consideration a wide range of factors that are utilized in making compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, qualifications and education, and other business and organizational needs.

　　Bonus: This position is bonus eligible.

　　Long-Term Incentive (LTI): This position is LTI eligible.

　　Benefits: Unilever employees are eligible to participate in our benefits plan. Should the employee choose to participate, they can choose from a range of benefits to include, but is not limited to, health insurance (including prescription drug, dental, and vision coverage), retirement savings benefits, life insurance and disability benefits, parental leave, sick leave, paid vacation and holidays, as well as access to numerous voluntary benefits. Any coverages for health insurance and retirement benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.

　　If you are an individual with a disability in need of assistance at any time during our recruitment process, please contact us at [email protected] . Please note: This email is reserved for individuals with disabilities in need of assistance and is not a means of inquiry about positions or application statuses.

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　　Job Category: Data & Analytics, Información y análisis, Information et analyse

　　Job Type: Data Expertise Manager - D&A

　　Industry: UnileverExperiencedProfessionals