We are seeking a Data Science & Measurement Lead to manage and grow a team of data scientists responsible for building advanced analytics, predictive models, and measurement solutions across Primark. This is a hands‑on role requiring strong technical depth in Databricks, Apache Spark, and SQL.
Benefits
- Healthcare, pension, and potential bonus.
- 27 days of leave, plus bank holidays. You can purchase 5 additional days.
- Tax Saver Tickets, fitness centre, and a subsidised cafeteria.
- Hybrid opportunities: 1-2 days working from home.
What You’ll Do
- Lead a data science team to deliver machine learning models, experimentation frameworks, and measurement solutions that drive measurable business impact.
- Design, build, and deploy end‑to‑end ML pipelines and workflows using Databricks, Spark, Python, SQL, and PySpark.
- Ensure robust operationalisation of models through scalable, reliable data pipelines and production‑ready ML systems.
- Partner closely with engineering teams to optimise distributed compute workloads and uphold data quality, monitoring, and governance standards.
- Establish and drive best practices in model reproducibility, experiment tracking, and end‑to‑end ML lifecycle management.
- Act as a trusted advisor by sharing deep technical expertise, developing team capability, and managing complex delivery plans.
- Leverage strong retail domain experience—ideally within apparel or grocery—to translate business needs into effective data‑driven solutions.
What You’ll Bring
- Extensive hands‑on experience with Databricks, Apache Spark, advanced SQL, and cloud‑based lakehouse architectures (Azure, AWS, or GCP), with a strong foundation in statistical modelling and machine learning techniques.
- Proven ability to deliver measurable commercial value through retail‑focused data science use cases such as demand forecasting, pricing and promotion effectiveness, allocation, stock optimisation, and waste or shrink reduction.
- Strong experience in experimental design and causal inference (e.g. A/B testing, quasi‑experiments), with a clear focus on quantifying incremental value and ensuring insights translate into action.
- Demonstrated experience taking models from prototype to production, establishing clear success metrics, monitoring, governance, and driving adoption across commercial and operational teams.
- Ability to shape and prioritise the data science roadmap by balancing business value, data readiness, and delivery risk; applies sound commercial judgement informed by market and industry trends.
- Proven people leader with experience mentoring and developing high‑performing data science teams; communicates complex technical concepts clearly to non‑technical stakeholders and acts as a trusted advisor to the business.
All offers of employment are subject to background checks, including right to work, reference, education and for some roles criminal, and financial checks. If you have any concerns, please reach out to our talent acquisition team to discuss.
Primark promotes equal employment opportunity, we strive to create an inclusive workplace where people can be themselves, access opportunities and thrive together.
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