At a Glance
- Tasks: Design and develop customer-focused data science solutions and take models from concept to deployment.
- Company: Established UK retail business undergoing a major data transformation.
- Benefits: Shape a growing Data Science function with strong progression opportunities.
- Other info: Collaborative culture focused on practical delivery and continuous improvement.
- Why this job: Work on high-impact projects that directly influence customer experiences.
- Qualifications: Experience in Data Science or Machine Learning, advanced Python and SQL skills required.
The predicted salary is between 45000 - 55000 £ per year.
The Company: They are a well-established UK retail business undergoing a significant data transformation. With major customer-led initiatives underway, including a new loyalty programme, the organisation is increasing its focus on advanced analytics, machine learning and personalisation. The culture is collaborative, pragmatic and delivery-focused, with an emphasis on getting models into production rather than staying in experimentation mode.
The Role: You will join a small but growing Data Science team, working closely with the Data Science Lead and one other Data Scientist. This is a hands-on role focused on building strong foundations and scaling existing use cases across the business. Key responsibilities include:
- Designing and developing customer-focused data science solutions across segmentation, lifetime value, forecasting and targeting
- Taking models end to end from problem definition through to deployment and monitoring
- Working with stakeholders to translate business questions into robust modelling approaches
- Partnering with engineers and analysts to productionise models and embed them into customer journeys
- Contributing to the development of a new Data Science platform and best practices as the team matures
Your Skills & Experience: To be successful in this role, you will bring:
- Strong commercial experience in Data Science or Machine Learning within a real-world environment
- Advanced Python skills for modelling and analysis, with solid SQL capability
- Experience delivering end-to-end data science solutions, including deployment
- Exposure to forecasting, statistical modelling or applied machine learning use cases
- Comfort working in a team that is still evolving its Data Science maturity
- Clear communication skills and the ability to build credibility with non-technical stakeholders
- Cloud exposure in GCP or Azure, and experience using managed ML services, would be advantageous but not essential.
What They Offer: The chance to shape a growing Data Science function and influence technical direction. High-impact, customer-facing projects with clear routes into production. Strong long-term progression as the data and AI capability continues to scale.
Data Scientist in Knowsley employer: Harnham
As a well-established UK retail business, this company offers an exciting opportunity for a Mid-Level Data Scientist to be part of a transformative journey in data analytics. With a collaborative and delivery-focused culture, employees benefit from high-impact projects, strong career progression, and the chance to shape the future of the Data Science function. The hybrid working model allows for flexibility while being part of a dynamic team that values innovation and practical solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Knowsley
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and real-world applications. We recommend practising common data science problems and being ready to discuss your past projects in detail.
✨Tip Number 3
Showcase your passion for data science! During interviews, share your thoughts on recent trends in machine learning or analytics. We want to see that you’re not just a number cruncher, but someone who’s genuinely excited about the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist in Knowsley
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of a Data Scientist. Highlight your experience with data science solutions, machine learning, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how you can contribute to our data transformation journey. Be sure to mention your hands-on experience and collaborative spirit.
Showcase Your Technical Skills:Don’t forget to highlight your advanced Python and SQL skills in your application. If you've worked with cloud platforms like GCP or Azure, make sure to mention that too! We love seeing practical examples of your work.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Harnham
✨Know Your Data Science Fundamentals
Brush up on your data science and machine learning concepts. Be ready to discuss your experience with end-to-end solutions, from problem definition to deployment. This will show that you understand the entire process and can contribute effectively.
✨Showcase Your Python and SQL Skills
Prepare to demonstrate your advanced Python skills and solid SQL capabilities. You might be asked to solve a problem or analyse a dataset during the interview, so practice coding challenges and be ready to explain your thought process.
✨Communicate Clearly with Non-Technical Stakeholders
Since the role involves working with stakeholders, practice explaining complex data concepts in simple terms. Think of examples where you've successfully communicated technical information to non-technical audiences, as this will highlight your ability to build credibility.
✨Understand Their Business and Culture
Research the company’s current data initiatives, especially their loyalty programme and customer-focused projects. Understanding their business goals will help you tailor your responses and demonstrate how you can contribute to their data transformation journey.
