Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build innovative data products and influence client engagement through analytics.
- Company: Dynamic UK-based data and analytics business with a focus on product innovation.
- Benefits: Hybrid work model, exposure to major clients, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on customer intelligence and predictive modelling.
- Why this job: Shape the future of data-driven products and tackle real-world challenges.
- Qualifications: Experience in Python, SQL, and machine learning techniques.
The predicted salary is between 50000 - 70000 £ per year.
Do you want to build data products, not just models? Are you ready to own product innovation from concept to launch? A UK-based data and analytics business is hiring a Data Scientist to support the design and delivery of data-led products used by major enterprise clients. The business combines consultancy delivery with proprietary data products, giving you exposure to both real-world commercial problems and scalable internal product builds.
Their focus sits heavily in customer intelligence, predictive modelling and behavioural analytics across sectors including utilities, telecoms, financial services and charities. This role will sit at the intersection of product, analytics and machine learning. You’ll help prototype, test and shape new analytical products, building models that directly influence how clients engage customers, optimise collections and improve commercial performance.
- Conduct data discovery and exploratory analysis across large customer datasets
- Evaluate emerging AI and machine learning techniques for product innovation
Location: Hybrid (minimum 2 days in London)
Skills: Python, SQL, Databricks, Azure
Data Scientist (Python, ML, SQL) employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Python, ML, SQL)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Python, ML, and SQL. This will give potential employers a taste of what you can do and how you approach problem-solving.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the business side of data products. Be ready to discuss how your work can impact customer engagement and commercial performance.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Scientist (Python, ML, SQL)
Some tips for your application 🫡
Show Your Passion for Data Products: When writing your application, let us know why you're excited about building data products. Share any relevant experiences where you've taken a concept and turned it into something tangible, as we love seeing that entrepreneurial spirit!
Highlight Your Technical Skills: Make sure to showcase your expertise in Python, SQL, and any machine learning techniques you've used. We want to see how you’ve applied these skills in real-world scenarios, so don’t hold back on the details!
Connect with Our Mission: Take a moment to understand what we do at StudySmarter and how we approach data-led products. Tailor your application to reflect our focus on customer intelligence and predictive modelling, showing us how you can contribute to our goals.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Harnham
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and any relevant tools like Databricks and Azure. Brush up on your coding skills and be ready to discuss how you've used these technologies in past projects. It’s all about showing that you can not only build models but also contribute to product innovation.
✨Understand the Business Context
Familiarise yourself with the sectors the company operates in, such as utilities, telecoms, and financial services. Think about how data products can solve real-world problems in these areas. This will help you demonstrate your ability to connect analytics with business outcomes during the interview.
✨Prepare for Case Studies
Expect to tackle case studies or practical scenarios during your interview. Practice explaining your thought process when conducting data discovery or exploratory analysis. Be ready to showcase how you would evaluate AI and machine learning techniques for product innovation, as this is key to the role.
✨Show Your Passion for Product Innovation
Express your enthusiasm for building data products rather than just models. Share examples of how you’ve contributed to product development in the past, and be prepared to discuss your ideas for future innovations. This will highlight your alignment with the company's focus on product and customer engagement.