Primark Stores Limited
Reading, Berkshire
Data Science & Measurement Lead Because your new ideas are our way new ways of working. Evolve, your way. 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. What You'll Get People are at the heart of what we do here, so it's essential we provide you with the right environment to perform at your very best. Let's talk lifestyle: Healthcare, pension, and potential bonus. 27 days of leave, plus bank holidays and if you want, you can buy 5 more. Because Primark is all about tailoring to you, we offer Tax Saver Tickets, fitness centre, and a subsidised cafeteria. This role is a hybrid opportunity, offering 1-2 days Working from home. What You'll Do as a Data Science & Measurement Lead We want you to feel challenged and inspired. Here, you'll develop your skills across a range of responsibilities: 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 Here at Primark, we want everyone to feel valued - so please bring your authentic self to work, of course with some other key experience and abilities for this role in particular: 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. Does this sound like you? Great, because we can't wait to see what you'll bring. You'll be supported within a team of equally capable people, celebrating who you are and aiding you reach your potential. At Primark, we're excited about our future - and we're excited to develop yours. 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. Our fashion isn't one size fits all and neither is our culture. Primark promotes equal employment opportunity, we strive to create an inclusive workplace where people can be themselves, access opportunities and thrive together. REQ ID: JR-7582
Data Science & Measurement Lead Because your new ideas are our way new ways of working. Evolve, your way. 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. What You'll Get People are at the heart of what we do here, so it's essential we provide you with the right environment to perform at your very best. Let's talk lifestyle: Healthcare, pension, and potential bonus. 27 days of leave, plus bank holidays and if you want, you can buy 5 more. Because Primark is all about tailoring to you, we offer Tax Saver Tickets, fitness centre, and a subsidised cafeteria. This role is a hybrid opportunity, offering 1-2 days Working from home. What You'll Do as a Data Science & Measurement Lead We want you to feel challenged and inspired. Here, you'll develop your skills across a range of responsibilities: 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 Here at Primark, we want everyone to feel valued - so please bring your authentic self to work, of course with some other key experience and abilities for this role in particular: 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. Does this sound like you? Great, because we can't wait to see what you'll bring. You'll be supported within a team of equally capable people, celebrating who you are and aiding you reach your potential. At Primark, we're excited about our future - and we're excited to develop yours. 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. Our fashion isn't one size fits all and neither is our culture. Primark promotes equal employment opportunity, we strive to create an inclusive workplace where people can be themselves, access opportunities and thrive together. REQ ID: JR-7582
Harnham - Data & Analytics Recruitment
Manchester, Lancashire
Senior Analytics Engineer - 12 month fixed term contract UK Remote £78,000 plus benefits This Senior Analytics Engineer role stands out as a chance to play a key part in a large scale Lakehouse programme, sitting at the intersection of engineering, analytics and the wider business. You will take real ownership of curated data models, shape how data is structured and served across the organisation, and influence best practice as the analytics engineering capability continues to grow. The Company They are a large, well established UK organisation with a strong reputation for combining technical excellence with a people first culture. Data and analytics are a strategic priority, with ongoing investment into a modern cloud based data platform. Engineering teams are expanding as part of a broader transformation, creating genuine opportunities to have impact and influence. The Role You will join a growing analytics engineering team and play a critical role in the Lakehouse environment. Your responsibilities will include: Leading the design and delivery of curated, analytics ready data models within the Lakehouse Owning the transformation from enriched to curated datasets, enabling trusted reporting and insight Developing and maintaining robust SQL and PySpark transformation pipelines in Databricks Embedding data quality, testing, reliability and performance into the curated layer Working closely with data engineers, BI teams and business stakeholders to translate complex requirements Providing technical leadership, mentoring and setting modelling and engineering standards Contributing to CI/CD processes and wider engineering best practice across the data platform Your Skills and Experience Strong commercial experience as an Analytics Engineer within a modern data platform Excellent data modelling capability, including dimensional and semantic modelling Advanced SQL skills and strong hands on experience with PySpark Experience working with Databricks and Lakehouse architectures A solid grounding in engineering best practices, testing and data quality Confidence mentoring others and taking ownership of technical decisions An engineering mindset applied to analytics, rather than an analyst focused role What They Offer Flexible by choice working, supporting different schedules and work life balance A 35 hour working week within a supportive, inclusive engineering culture The opportunity to shape a critical data programme with real visibility across the business How to Apply If you are a Senior Analytics Engineer looking to make an impact in a growing Lakehouse environment, apply now to find out more.
Senior Analytics Engineer - 12 month fixed term contract UK Remote £78,000 plus benefits This Senior Analytics Engineer role stands out as a chance to play a key part in a large scale Lakehouse programme, sitting at the intersection of engineering, analytics and the wider business. You will take real ownership of curated data models, shape how data is structured and served across the organisation, and influence best practice as the analytics engineering capability continues to grow. The Company They are a large, well established UK organisation with a strong reputation for combining technical excellence with a people first culture. Data and analytics are a strategic priority, with ongoing investment into a modern cloud based data platform. Engineering teams are expanding as part of a broader transformation, creating genuine opportunities to have impact and influence. The Role You will join a growing analytics engineering team and play a critical role in the Lakehouse environment. Your responsibilities will include: Leading the design and delivery of curated, analytics ready data models within the Lakehouse Owning the transformation from enriched to curated datasets, enabling trusted reporting and insight Developing and maintaining robust SQL and PySpark transformation pipelines in Databricks Embedding data quality, testing, reliability and performance into the curated layer Working closely with data engineers, BI teams and business stakeholders to translate complex requirements Providing technical leadership, mentoring and setting modelling and engineering standards Contributing to CI/CD processes and wider engineering best practice across the data platform Your Skills and Experience Strong commercial experience as an Analytics Engineer within a modern data platform Excellent data modelling capability, including dimensional and semantic modelling Advanced SQL skills and strong hands on experience with PySpark Experience working with Databricks and Lakehouse architectures A solid grounding in engineering best practices, testing and data quality Confidence mentoring others and taking ownership of technical decisions An engineering mindset applied to analytics, rather than an analyst focused role What They Offer Flexible by choice working, supporting different schedules and work life balance A 35 hour working week within a supportive, inclusive engineering culture The opportunity to shape a critical data programme with real visibility across the business How to Apply If you are a Senior Analytics Engineer looking to make an impact in a growing Lakehouse environment, apply now to find out more.
Harnham - Data & Analytics Recruitment
Edinburgh, Midlothian
Senior Analytics Engineer - 12 month fixed term contract UK Remote £78,000 plus benefits This Senior Analytics Engineer role stands out as a chance to play a key part in a large scale Lakehouse programme, sitting at the intersection of engineering, analytics and the wider business. You will take real ownership of curated data models, shape how data is structured and served across the organisation, and influence best practice as the analytics engineering capability continues to grow. The Company They are a large, well established UK organisation with a strong reputation for combining technical excellence with a people first culture. Data and analytics are a strategic priority, with ongoing investment into a modern cloud based data platform. Engineering teams are expanding as part of a broader transformation, creating genuine opportunities to have impact and influence. The Role You will join a growing analytics engineering team and play a critical role in the Lakehouse environment. Your responsibilities will include: Leading the design and delivery of curated, analytics ready data models within the Lakehouse Owning the transformation from enriched to curated datasets, enabling trusted reporting and insight Developing and maintaining robust SQL and PySpark transformation pipelines in Databricks Embedding data quality, testing, reliability and performance into the curated layer Working closely with data engineers, BI teams and business stakeholders to translate complex requirements Providing technical leadership, mentoring and setting modelling and engineering standards Contributing to CI/CD processes and wider engineering best practice across the data platform Your Skills and Experience Strong commercial experience as an Analytics Engineer within a modern data platform Excellent data modelling capability, including dimensional and semantic modelling Advanced SQL skills and strong hands on experience with PySpark Experience working with Databricks and Lakehouse architectures A solid grounding in engineering best practices, testing and data quality Confidence mentoring others and taking ownership of technical decisions An engineering mindset applied to analytics, rather than an analyst focused role What They Offer Flexible by choice working, supporting different schedules and work life balance A 35 hour working week within a supportive, inclusive engineering culture The opportunity to shape a critical data programme with real visibility across the business How to Apply If you are a Senior Analytics Engineer looking to make an impact in a growing Lakehouse environment, apply now to find out more.
Senior Analytics Engineer - 12 month fixed term contract UK Remote £78,000 plus benefits This Senior Analytics Engineer role stands out as a chance to play a key part in a large scale Lakehouse programme, sitting at the intersection of engineering, analytics and the wider business. You will take real ownership of curated data models, shape how data is structured and served across the organisation, and influence best practice as the analytics engineering capability continues to grow. The Company They are a large, well established UK organisation with a strong reputation for combining technical excellence with a people first culture. Data and analytics are a strategic priority, with ongoing investment into a modern cloud based data platform. Engineering teams are expanding as part of a broader transformation, creating genuine opportunities to have impact and influence. The Role You will join a growing analytics engineering team and play a critical role in the Lakehouse environment. Your responsibilities will include: Leading the design and delivery of curated, analytics ready data models within the Lakehouse Owning the transformation from enriched to curated datasets, enabling trusted reporting and insight Developing and maintaining robust SQL and PySpark transformation pipelines in Databricks Embedding data quality, testing, reliability and performance into the curated layer Working closely with data engineers, BI teams and business stakeholders to translate complex requirements Providing technical leadership, mentoring and setting modelling and engineering standards Contributing to CI/CD processes and wider engineering best practice across the data platform Your Skills and Experience Strong commercial experience as an Analytics Engineer within a modern data platform Excellent data modelling capability, including dimensional and semantic modelling Advanced SQL skills and strong hands on experience with PySpark Experience working with Databricks and Lakehouse architectures A solid grounding in engineering best practices, testing and data quality Confidence mentoring others and taking ownership of technical decisions An engineering mindset applied to analytics, rather than an analyst focused role What They Offer Flexible by choice working, supporting different schedules and work life balance A 35 hour working week within a supportive, inclusive engineering culture The opportunity to shape a critical data programme with real visibility across the business How to Apply If you are a Senior Analytics Engineer looking to make an impact in a growing Lakehouse environment, apply now to find out more.
