At a Glance
- Tasks: Lead data science projects, delivering impactful models for pricing and customer experience.
- Company: Join Halfords, a leading retailer dedicated to motoring and cycling innovation.
- Benefits: Competitive salary, bonuses, 25 days leave, and employee discounts.
- Why this job: Shape the future of data science in a dynamic, fast-paced environment.
- Qualifications: Proficient in Python, SQL, and data visualisation; strong analytical skills required.
- Other info: Inclusive workplace with a focus on personal and professional development.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Halfords operate a 3 days-per-week office based hybrid working policy at our support centre in Redditch.
At Halfords, our mission is to inspire and support a lifetime of motoring and cycling. As a specialist retailer, we lead the market through customer-driven innovation and a distinct product range. We are dedicated to providing our customers with an integrated, unique, and convenient service experience—from e-bike and electric vehicle servicing to on-demand solutions. Our commitment is to foster customer loyalty by offering compelling reasons to keep coming back to our stores, ensuring a lifetime of motoring and cycling enjoyment.
The teams at our Redditch Support Centre work with every other area of our business, putting them at the heart of the action and playing a key role in our success and growth. Everyone brings their individual knowledge and experience to work every day, working as one team to keep things moving smoothly.
If you’re willing to get stuck in, you’ll love it here too. So put yourself at the heart of a dynamic, fast-paced working environment where expertise and focus take people far.
As a Data Scientist, you’ll play a pivotal role in embedding data-driven thinking across the business, delivering high-impact models that shape pricing, customer experience, and operational performance. Joining a small but ambitious team, you’ll lead end-to-end project delivery: from identifying high-value opportunities and shaping hypotheses to building robust models and deploying them into production via Azure Databricks. It’s a high-trust environment where your curiosity, rigour and creativity will translate into real-world results.
You thrive in fast-paced, collaborative environments where data science is both technical and consultative. You’re confident owning the full lifecycle exploring large datasets, applying advanced modelling techniques in Python and PySpark, and clearly communicating insights to stakeholders across multiple different business functions. With solid experience in SQL, Databricks and Power BI, you understand how to turn models into decisions and bring stakeholders with you on the journey.
For you, this is an opportunity to help shape the future of data science within a major UK retailer. With a framework still in its early stages, you’ll be influential in defining how data science is adopted across the business. Whether it’s customer segmentation, price elasticity or next-best-action engines, you’ll get stuck into a broad and varied portfolio and play a key role in embedding intelligence into the heart of our digital and customer-facing strategies.
Key responsibilities- Lead the full lifecycle of data science projects from scoping opportunities and defining benefits to model deployment and real‑world impact.
- Deliver end‑to‑end solutions including opportunity identification, data extraction and transformation, feature engineering, model selection, and production deployment.
- Collaborate closely with business stakeholders and end users to embed data science solutions into operational and strategic workflows.
- Communicate complex modelling techniques and outcomes clearly to both technical and non‑technical audiences.
- Contribute to a varied portfolio of use cases spanning pricing, supply chain, customer behaviour, and employee engagement.
- Work in close partnership with the wider Data and Technology teams, using our Azure‑based Databricks lakehouse and surfacing models through our Enterprise Integration Layer.
- Proficiency in Python (including segmentation, prediction, and time series), SQL, and data visualisation.
- Comfortable working autonomously, confident making modelling decisions and driving projects forward independently.
- Excellent communication skills, with the ability to clearly explain insights to technical and non‑technical audiences alike.
- Familiarity with our modern data environment: Microsoft Azure, Databricks, PySpark, SQL, and Power BI.
- A strong analytical mindset, with a proven ability to deliver real‑time insights that lead to measurable business impact.
- Deep technical expertise across data extraction, transformation, statistical modelling, deployment, lifecycle management, and visualisation.
- Hands‑on experience delivering data science solutions such as demand forecasting, customer segmentation, next‑best‑action, and price elasticity modelling.
- A talent for turning complex data into clear, compelling visual stories that drive decision‑making.
- Strong organisational skills, with the ability to juggle multiple priorities and deliver high‑quality work to tight deadlines.
Competitive salary evaluated against market data, annual discretionary bonus scheme, pension, life assurance, 25 days annual leave plus bank holidays and enhanced family leave.
Commitment and dedication to your ongoing personal and professional development.
Access to a wealth of employee discounts across the Halfords suite of products and services.
Wellbeing and inclusion at the heart of our colleague experience, with resources and ongoing support to enhance wellbeing at work and active Colleague Networks supporting inclusion initiatives across Halfords.
Not sure you meet all the criteria? We’d encourage you to take the wheel and apply anyway! At Halfords we are committed to creating an inclusive workplace for our colleagues. We’re an equal opportunities employer and proud to welcome applications from all backgrounds and embrace diversity within our one Halfords Family.
Data Scientist in England employer: Halfords Group PLC
Contact Detail:
Halfords Group PLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in England
✨Tip Number 1
Network like a pro! Reach out to current employees at Halfords on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. It’s all about making connections!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with Python, SQL, and data visualisation. Practice explaining complex concepts in simple terms—this will impress both technical and non-technical interviewers.
✨Tip Number 3
Showcase your projects! Bring examples of your previous work to the interview. Whether it’s a model you built or a data visualisation you created, having tangible evidence of your skills can really set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Halfords team. So, get that application in and let’s make it happen!
We think you need these skills to ace Data Scientist in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, SQL, and data visualisation tools like Power BI. We want to see how your skills align with our mission at Halfords!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. Don’t forget to mention any relevant projects or experiences that showcase your analytical mindset.
Showcase Your Projects: If you've worked on any data science projects, make sure to include them in your application. Whether it's customer segmentation or demand forecasting, we love seeing real-world applications of your skills. It helps us understand your hands-on experience!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join the Halfords family!
How to prepare for a job interview at Halfords Group PLC
✨Know Your Data Science Stuff
Make sure you brush up on your Python, SQL, and data visualisation skills. Be ready to discuss specific projects where you've used these tools, especially in areas like customer segmentation or demand forecasting. This will show that you can hit the ground running!
✨Communicate Like a Pro
Since you'll be working with both technical and non-technical folks, practice explaining complex concepts in simple terms. Think about how you would describe your past projects to someone without a data background. Clear communication is key!
✨Show Your Curiosity
Halfords values curiosity and creativity, so come prepared with questions about their data strategies and how you can contribute. This shows you're genuinely interested in the role and eager to make an impact.
✨Prepare for Real-World Scenarios
Be ready to tackle hypothetical scenarios related to pricing models or customer behaviour analysis during the interview. Think through your approach to these problems and how you'd communicate your findings to stakeholders. This will demonstrate your problem-solving skills and strategic thinking.