At a Glance
- Tasks: Build and optimise predictive models to shape customer strategies and product innovation.
- Company: Dynamic UK-based data and analytics business with a focus on customer intelligence.
- Benefits: Competitive salary up to £65,000, hybrid work model, and exposure to cutting-edge technologies.
- Other info: Collaborative environment with opportunities for professional growth and learning.
- Why this job: Own product innovation and make a real impact on major enterprise clients' strategies.
- Qualifications: Experience in predictive analytics, Python, SQL, and a passion for data-driven solutions.
The predicted salary is between 65000 - 65000 € per year.
Do you want to build data products, not just models? Have you worked on predictive analytics that directly shape customer strategy? 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 is a strong opportunity for someone who wants broader ownership than a typical delivery-focused DS role. 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.
Key Responsibilities- Build and optimise predictive models including propensity and scoring models
- Prototype new analytical products using Databricks notebooks
- Define product-level features, scoring logic and model outputs
- Conduct data discovery and exploratory analysis across large customer datasets
- Work closely with Product Managers and Analysts to shape new product capability
- Present insights and model outputs to internal and external stakeholders
- Evaluate emerging AI and machine learning techniques for product innovation
- Salary: Up to £65,000
- Location: Hybrid (minimum 2 days in London)
- Tech stack: Python, SQL, Databricks, Azure
- Sponsorship: Cannot sponsor
Interested? Please apply below.
Data Scientist - Customer Analytics Solutions in London employer: LinkedIn
Join a dynamic UK-based data and analytics business that prioritises innovation and collaboration, offering Data Scientists the chance to build impactful data products that shape customer strategies for major enterprise clients. With a strong focus on employee growth, you will have access to cutting-edge technology and the opportunity to work at the intersection of product development and advanced analytics in a supportive hybrid work environment. This role not only allows for meaningful contributions but also fosters a culture of continuous learning and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Customer Analytics Solutions in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and analytical products. We recommend using platforms like GitHub to share your work. This way, potential employers can see your hands-on experience and creativity in action.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects. We suggest practising common data science interview questions and even doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Make sure to tailor your application to highlight how your experience aligns with the role of Data Scientist in customer analytics solutions.
We think you need these skills to ace Data Scientist - Customer Analytics Solutions in London
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, not just models. Share specific examples of how you've used predictive analytics to shape customer strategies in the past.
Highlight Relevant Experience:Make sure to showcase your experience with predictive modelling and customer intelligence. We want to see how your skills align with our focus on behavioural analytics across various sectors.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your achievements and how they relate to the responsibilities of the Data Scientist role. We appreciate clarity!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at LinkedIn
✨Know Your Data Inside Out
Make sure you’re well-versed in the data products and predictive analytics relevant to the role. Brush up on your experience with customer intelligence and behavioural analytics, as these will be key talking points during the interview.
✨Showcase Your Prototyping Skills
Be prepared to discuss your experience with prototyping analytical products, especially using tools like Databricks. Bring examples of past projects where you’ve built models that influenced customer engagement or improved performance.
✨Collaborate Like a Pro
Highlight your ability to work closely with Product Managers and Analysts. Share specific instances where you’ve collaborated on product features or model outputs, demonstrating your teamwork skills and how they contributed to successful outcomes.
✨Stay Ahead of the Curve
Familiarise yourself with emerging AI and machine learning techniques. Be ready to discuss how you can leverage these innovations for product development, showing that you’re not just keeping up but are eager to lead in this space.
