At a Glance
- Tasks: Build and deploy machine learning models to enhance customer engagement and drive business value.
- Company: Join a major UK retailer investing in cutting-edge Data & AI capabilities.
- Benefits: Competitive salary, hybrid working model, and opportunities for professional growth.
- Other info: Be part of a growing team with a focus on impactful projects.
- Why this job: Shape the future of retail with data-driven insights and innovative solutions.
- Qualifications: Experience in machine learning and a passion for data science.
The predicted salary is between 45000 - 48000 £ per year.
Do you want to help build a Data Science function from the ground up? Have you delivered machine learning models that made it into production and drove real business value? Are you ready to shape how one of the UK's largest retailers uses customer data and AI?
A major UK retail business is investing heavily in its Data & AI capabilities and is building a scalable Data Science function to support the next phase of growth. With a new customer loyalty programme launching this year, there is significant demand for predictive modelling, personalisation, forecasting, and customer analytics.
As a Mid-Level Data Scientist, you'll work closely with the Data Science Lead and wider business stakeholders to develop and deploy machine learning solutions that directly impact customer engagement and commercial performance. You'll play a key role in helping scale Data Science across the organisation as the team continues to mature.
Key Responsibilities- Build and deploy machine learning models across customer and commercial use cases
- Develop customer segmentation, CLV, and forecasting solutions
- Support loyalty programme personalisation and campaign optimisation initiatives
- Work across the full Data Science lifecycle from problem definition to deployment
- Partner with engineers, analysts, and business stakeholders to deliver impact
- Help establish scalable Data Science foundations and best practices
- Communicate model outputs and business value to non-technical audiences
- Salary: £45,000–£48,000
- Location: Knowsley (Liverpool)
- Working Model: Hybrid (3 days per week onsite)
- Tech Stack: Python, SQL, Machine Learning, GCP/Azure (desirable), Vertex AI, Azure ML
- Visa Sponsorship: Not available
Interested? Please apply below.
Data Scientist - Major UK Retailer in Knowsley employer: Harnham
Join a major UK retailer that is at the forefront of innovation in Data Science and AI. With a strong commitment to employee development, you will have the opportunity to shape the future of customer engagement while enjoying a collaborative work culture that values creativity and impact. Located in Knowsley, this role offers a hybrid working model, allowing for a balanced work-life experience as you contribute to exciting projects that drive real business value.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Major UK Retailer in Knowsley
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We think you need these skills to ace Data Scientist - Major UK Retailer in Knowsley
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Harnham, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Harnham. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Harnham
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Harnham!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
