Senior Data Scientist

Posted 2 Hours Ago
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Reading, Berkshire, England, GBR
Hybrid
Senior level
Fashion • Retail
The Role
Lead development and productionisation of machine learning, optimisation and experimentation solutions. Build scalable data science products and pipelines, partner with stakeholders to define measures and deliver commercial impact, mentor colleagues, and contribute to data science strategy across retail use cases.
Summary Generated by Built In
Company Description

Technology at Primark 

Our technology team is actively shaping the next wave of advancements. Engaged with innovative initiatives, your expertise will propel our business into the future. Collaborating with a creative team of tech enthusiasts, you’ll contribute your unique skills to fuel our technological advancements. 

We are seeking a Senior Data Scientist to join Primark’s Data Science & Measurement team, delivering advanced analytics, machine learning and experimentation solutions that drive measurable business value. Working with stakeholders across key business functions, you will solve complex commercial challenges using data science and statistical techniques. This is a hands-on role for an experienced data scientist with strong technical expertise, commercial awareness and a passion for turning data into actionable business outcomes.

Job Description

What you'll do 

  • Advanced Analytics & Machine Learning Delivery: Lead the design, development and deployment of machine learning, optimisation and measurement solutions that solve complex business challenges and deliver measurable commercial value. 

  • Data Science Product Development: Build and maintain scalable data science products, including predictive models, forecasting solutions, segmentation, recommendation engines and experimentation frameworks that support business decision-making. 

  • Data Engineering & Model Productionisation: Develop robust analytical datasets and machine learning pipelines using Databricks, Python, SQL and Spark, ensuring solutions are scalable, reliable and production-ready. 

  • Stakeholder Partnership & Commercial Impact: Partner with business stakeholders to define hypotheses, success measures and value metrics, translating analytical insights into actionable recommendations that improve commercial outcomes. 

  • Experimentation & Measurement Leadership: Lead experimentation, testing and measurement initiatives, using statistical methods and causal inference techniques to evaluate business performance and impact. 

  • Technical Leadership & Team Development: Mentor Data Scientists and Analysts, sharing best practices across modelling, experimentation, coding standards and commercial problem solving. 

  • Data Science Strategy & Innovation: Contribute to the data science roadmap, champion best practices and develop innovative retail-focused solutions across areas such as pricing, forecasting, customer behaviour and operational efficiency.

Qualifications

What you'll bring

  • Advanced Data Science Experience (5-8 Years): Strong hands-on experience delivering machine learning, statistical modelling, optimisation and advanced analytics solutions within commercial environments. 

  • Python, SQL & Data Platform Expertise: Advanced Python and SQL skills, with experience building reproducible machine learning workflows using Databricks, Spark or similar large-scale data processing technologies. 

  • Machine Learning & Statistical Expertise: Deep understanding of supervised and unsupervised machine learning, feature engineering, model evaluation, experimentation and performance monitoring techniques.

  • Retail & Commercial Analytics: Experience applying data science in retail, consumer, grocery, apparel or other high-volume environments, delivering solutions that support business performance and decision-making.

  • Experimentation & Value Measurement: Experience designing, executing and interpreting experiments, measurement frameworks and analytical initiatives that deliver measurable business value. 

  • Stakeholder Engagement & Communication: Ability to translate business challenges into analytical solutions and communicate complex findings through clear, compelling recommendations.

  • Leadership & Continuous Improvement: Experience mentoring colleagues, driving best practices and contributing to the growth, innovation and maturity of a high-performing Data Science function.

Additional Information

About Primark 
 
At Primark, people matter. They’re the beating heart of our business and the reason we’ve grown from our first store in Dublin in 1969 to a £9bn+ turnover business and over 80,000 colleagues and over 440 stores in 17 countries today. Our values run through everything we do. In essence, we're Caring and always strive to put people first. We're also Dynamic, bravely pushing the boundaries to stay ahead. And finally, we succeed Together. 
 
If you need any reasonable adjustments or have an accessibility request, during your recruitment journey, such as extended time or breaks between online assessments, a sign language interpreter, mobility access, or assistive technology please contact your talent acquisition specialist. 
 
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. 
 

Skills Required

  • 5-8 years delivering machine learning, statistical modelling, optimisation and advanced analytics in commercial environments.
  • Advanced Python and SQL skills with experience building reproducible ML workflows using Databricks, Spark or similar large-scale data processing technologies.
  • Deep understanding of supervised and unsupervised machine learning, feature engineering, model evaluation, experimentation and performance monitoring.
  • Experience applying data science in retail, consumer, grocery, apparel or other high-volume environments to drive commercial outcomes.
  • Experience designing, executing and interpreting experiments, measurement frameworks and causal inference techniques to evaluate impact.
  • Ability to translate business challenges into analytical solutions and communicate complex findings to stakeholders.
  • Experience mentoring data scientists and analysts and driving best practices across modelling, experimentation and coding standards.

Primark Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Primark and has not been reviewed or approved by Primark.

  • Fair & Transparent Compensation Pay is often characterized as fair or good compared to similar retail roles, and overtime availability can improve take-home earnings. Recent UK minimum-rate increases and the removal of age-related pay tiers reinforce a sense of improving pay fairness.
  • Leave & Time Off Breadth Paid time off stands out as comparatively strong for retail, with full-time roles described as having notably generous PTO alongside sick time and paid holidays. This breadth can increase the overall value of the compensation package beyond hourly wages.
  • Parental & Family Support Enhanced maternity, paternity, adoption, and surrogacy payments are positioned as meaningful additions to the rewards package. Ongoing colleague discounts and family-oriented support contribute to a more rounded benefits offering.

Primark Insights

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The Company
HQ: Dublin, Dublin
37,781 Employees
Year Founded: 1969

What We Do

Primark is an international fashion retailer employing more than 80,000 colleagues across 17 countries in Europe and the US. Founded in Ireland in 1969 under the Penneys brand, Primark aims to provide affordable choices for everyone, from great quality everyday essentials to stand-out style across women’s, men’s and kids, as well as beauty, homeware and accessories. With a focus on creating great retail experiences, Primark has over 440 stores globally and continues to expand with the aim of reaching 530 stores by the end of 2026. ­­ Primark is working to make more sustainable fashion affordable for everyone through its Primark Cares strategy, a multi-year programme that focuses on giving clothing a longer life, protecting life on the planet and supporting the livelihoods of the people who make Primark clothes. As part of this, Primark unveiled nine commitments it is working to achieve by 2030. These commitments include making all of its clothes from recycled or more sustainably sourced materials by 2030, halving carbon emissions across its value chain and pursuing a living wage for workers in its supply chain.

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