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 real-world problems.
- Other info: Collaborative environment with opportunities for professional growth and development.
- Why this job: Own product innovation and make a direct impact on major enterprise clients.
- Qualifications: Experience in predictive analytics, Python, SQL, and machine learning techniques.
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 Slough employer: Harnham
Join a dynamic UK-based data and analytics business that champions innovation and collaboration, offering you the chance to build impactful data products that shape customer strategies for major enterprise clients. With a strong focus on employee growth, you'll benefit from a vibrant work culture that encourages creativity and ownership, while enjoying the flexibility of a hybrid working model in London. This role not only provides exposure to cutting-edge technologies but also fosters professional development through hands-on experience in predictive analytics and product innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Customer Analytics Solutions in Slough
✨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 get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data products and predictive models. We recommend using platforms like GitHub to share your work, as it gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We suggest simulating real-world scenarios where you can demonstrate your problem-solving skills and how you’d approach customer analytics challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist - Customer Analytics Solutions in Slough
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 contributed to product innovation in the past, and how that aligns with our focus on customer intelligence.
Highlight Relevant Experience:Make sure to showcase your experience with predictive analytics and how it has shaped customer strategies. We want to see how your skills in Python, SQL, and Databricks can directly impact our projects, so don’t hold back!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so use bullet points where necessary to highlight your key achievements and responsibilities. This helps us quickly see how you fit into our team.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in customer analytics solutions!
How to prepare for a job interview at Harnham
✨Know Your Data Products
Make sure you understand the difference between building models and creating data products. Be ready to discuss how your previous work has contributed to product innovation, especially in predictive analytics that shapes customer strategy.
✨Showcase Your Technical Skills
Brush up on your Python, SQL, and Databricks skills. Be prepared to talk about specific projects where you've used these technologies to build or optimise predictive models, and how they impacted business outcomes.
✨Prepare for Collaborative Discussions
Since this role involves working closely with Product Managers and Analysts, think of examples where you've successfully collaborated on projects. Highlight how you’ve contributed to defining product features and model outputs in a team setting.
✨Present Like a Pro
You’ll need to present insights and model outputs to stakeholders, so practice explaining complex concepts in simple terms. Prepare a few key insights from your past work that you can share, focusing on how they influenced customer engagement or commercial performance.
