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About the Role

As a Data Science Manager within the Customer Development XOPS team, you will lead data science delivery across products and markets, shape technical direction, and develop high-performing teams. This is a hands-on leadership role combining technical depth with people management and business partnership. You will own the end-to-end data science lifecycle for key initiatives, translating business problems into scalable analytics solutions and ensuring high-quality delivery.

Responsibilities

Own and shape the data science roadmap for products within the Customer Development portfolio, aligned to commercial priorities and business outcomes.
Lead the design, development, and deployment of diagnostic, predictive, and prescriptive analytics solutions, ensuring robustness, scalability, and interpretability.
Set modelling and analytical standards across the team, covering classical statistical methods, machine learning, and emerging Generative and Agentic AI capabilities.
Ensure solutions are industrialised and production-ready, leveraging cloud platforms (Azure, Databricks) and aligned with MLOps best practices.
Lead, coach, and develop a team of data scientists, supporting both technical growth and career progression.
Foster a culture of high ownership, continuous improvement, and learning, encouraging experimentation while maintaining delivery discipline.
Provide technical guidance and review, acting as a mentor and escalation point for complex analytical challenges.
Partner closely with Product, Engineering, and Business stakeholders to shape problem definitions, prioritise initiatives, and drive adoption of data science solutions.
Translate complex analytics into clear, actionable insights for senior stakeholders, supporting data-driven decision-making.
Balance short-term delivery with long-term capability building, ensuring alignment between local market needs and global product strategy.
Champion agile ways of working, enabling fast-paced experimentation and iterative delivery.
Identify opportunities to build reusable frameworks, scale solutions, and feed innovation into the global CD product pipeline.

Requirements

Degree qualified in a relevant technical discipline (Data Science, Computer Science, Engineering, Mathematics, Statistics, Econometrics, or similar).
Proven experience leading data science teams working on complex analytics initiatives in a commercial or product-driven environment.
Strong background in data science modelling, with deep expertise in several of the following: Econometric modelling (Regression, Bayesian approaches) especially in the context of pricing and promotions in the CPG/Retail space, Time series forecasting, Simulation and optimisation tools.
Experience designing and industrialising machine learning solutions at scale; exposure to agent-based AI systems is a strong advantage.
Advanced proficiency in Python, Spark, and modern analytics stacks; hands-on experience with Databricks and Azure.
Strong people leader with experience coaching and developing talent in multidisciplinary teams.
Excellent communicator, able to influence and align senior stakeholders through clear storytelling and data-driven narratives.
Strategic thinker with the ability to prioritise effectively and focus teams on what delivers the most value.
Comfortable operating in a fast-paced, global, and ambiguous environment, balancing delivery with longer-term vision.
High ethical standards in data usage, governance, and decision-making.

Skills

Data Science
Computer Science
Engineering
Mathematics
Statistics
Econometrics
Econometric modelling
Regression
Bayesian approaches
Time series forecasting
Simulation
Optimisation tools
Machine learning
Agent-based AI systems
Python
Spark
Databricks
Azure
MLOps

Education Level

Degree qualified in a relevant technical discipline

Salary/Compensations

$103,000 to $154,400

Benefits

Bonus eligible
Long-Term Incentive (LTI) eligible
Health insurance (including prescription drug, dental, and vision coverage)
Retirement savings benefits
Life insurance
Disability benefits
Parental leave
Sick leave
Paid vacation and holidays
Access to numerous voluntary benefits

About the Company

Unilever is one of the world’s leading suppliers of Food, Home, and Personal Care products, operating in over 190 countries and reaching more than 2 billion consumers every day.
Our portfolio includes iconic brands such as Dove, Knorr, Domestos, Hellmann’s, Persil, Cif, Tresemmé, Rexona, and Axe.
Guided by our purpose—to make sustainable living commonplace—we aim to grow our business while addressing the challenges of climate change and human development, enabling people everywhere to live well within the limits of the planet.
Data Foundation within GDT exists to make Unilever data-intelligent, empowering critical business decisions through data, advanced analytics, and AI.
Our vision is a future-fit Unilever—an organisation where data underpins decision-making across all functions: accelerating innovation, strengthening brands, driving excellence in customer execution, enhancing consumer experiences through personalisation, and transforming internal operations for efficiency and scale.

Equal Opportunity

At Unilever, inclusion is at the heart of everything we do. We welcome applicants from all walks of life and are committed to creating an environment where everyone can thrive/succeed. All applicants will receive fair and respectful consideration, and we actively support the growth and development of every employee.
Unilever is an Equal Opportunity Employer/Protected Veterans/Persons with Disabilities.
For more information on your federal rights, please see Know Your Rights: Workplace Discrimination is Illegal
Employment is subject to verification of pre-screening tests, which may include drug screening, background check, credit check and DMV check.
If you are an individual with a disability in need of assistance at any time during our recruitment process, please contact us at NA.Accommodations@unilever.com. 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.
The Protected Veterans or Individuals with Disabilities AAP narratives are available for inspection by any employee or applicant for employment Monday through Friday during normal business hours at establishment.