At a Glance
- Tasks: Design and deploy customer-focused Data Science models to drive real business impact.
- Company: Large retail organisation transforming its Data and AI capabilities.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: High visibility projects with direct impact on customers and commercial outcomes.
- Why this job: Join a collaborative team and shape the future of Data Science in a thriving environment.
- Qualifications: Experience in Python, SQL, and end-to-end Data Science processes.
The predicted salary is between 45000 - 48000 £ per year.
This is a strong opportunity for a commercially minded Data Scientist to join a business at a genuine inflection point in its Data and AI journey. You will play a key role in moving the organisation from ad-hoc analytics to a scalable, production-led Data Science capability, with clear backing from leadership and real-world use cases already live.
They are a large retail organisation undergoing a significant data and AI transformation. The culture is collaborative, inclusive and pragmatic, with a strong focus on delivering value at pace rather than over-engineering solutions. Getting models into production and driving measurable impact is a core priority.
You will work hands-on within a small but growing Data Science function, partnering closely with the Data Science Lead, another Data Scientist, and wider data and commercial teams.
- Designing and building customer-focused Data Science use cases such as segmentation, lifetime value modelling and demand forecasting
- Developing, testing and deploying machine learning models end to end, from problem definition through to production
- Contributing to the development of a new Data Science platform and helping shape best practice as the function matures
- Working closely with Data Engineers and Analysts to ensure data quality, scalability and smooth model deployment
- Engaging with commercial and customer stakeholders to translate business problems into practical modelling solutions
To succeed in this role, you will bring a practical, business-led approach to Data Science:
- Strong commercial experience using Python for Data Science and machine learning
- Solid SQL skills and confidence working with large, complex datasets
- End-to-end Data Science experience, including taking models into production
- Experience applying statistical modelling or machine learning to real business problems
- Experience with model deployment tools such as Vertex AI or Azure ML
Hybrid working, with three days per week on site in Knowsley. The chance to help build a Data Science capability from an early stage. High visibility work tied directly to customer and commercial outcomes. Clear opportunity to grow alongside the team as Data Science scales across the business.
If you are a hands-on Data Scientist looking to work on production-focused, customer-led use cases in a collaborative environment, apply now to find out more.
Tech Data Scientist employer: Harnham
Join a large retail organisation in Merseyside that is at the forefront of a transformative Data and AI journey, where your contributions will directly impact customer outcomes. With a collaborative and inclusive culture, you will have the opportunity to work hands-on within a growing Data Science team, developing practical solutions and models that drive measurable business value. Enjoy hybrid working arrangements and clear pathways for professional growth as you help shape the future of Data Science within the company.
StudySmarter Expert Advice🤫
We think this is how you could land Tech Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Data Science projects, especially those that demonstrate your ability to solve real business problems. This will give you an edge when chatting with hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s data strategy. Be ready to discuss how you can contribute to their Data Science journey and make a measurable impact.
✨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, it shows you’re genuinely interested in joining our team and contributing to our exciting Data Science projects.
We think you need these skills to ace Tech Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with Python, SQL, and any end-to-end Data Science projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've tackled real business problems using Data Science. Show us your passion for driving measurable impact!
Showcase Your Projects:If you've got any relevant projects or case studies, don’t hesitate to include them! We love seeing practical applications of your skills, especially if they relate to customer-focused use cases like segmentation or demand forecasting.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Harnham
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've taken models into production, as this role is all about practical application. Prepare to explain how you've tackled real business problems using machine learning.
✨Understand the Business Context
This company is looking for someone who can translate complex data issues into business solutions. Familiarise yourself with their retail operations and think about how your data science skills can drive measurable impact. Show them you’re not just a techie but also a commercially minded professional.
✨Collaborate and Communicate
Since the culture is collaborative, be prepared to demonstrate your teamwork skills. Think of examples where you've worked closely with data engineers or commercial teams. Highlight your ability to engage with stakeholders and translate technical jargon into understandable terms.
✨Showcase Your End-to-End Experience
Be ready to walk through your end-to-end data science process in detail. Discuss how you've defined problems, developed models, and deployed them. If you have experience with tools like Vertex AI or Azure ML, make sure to mention it, as they’ll want to know you can hit the ground running.
