At a Glance
- Tasks: Build predictive models to solve real-world business problems and drive impactful decisions.
- Company: Join a leading data consultancy at the forefront of analytics and product development.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with exposure to various industries and innovative data products.
- Why this job: Make a tangible impact on diverse projects while collaborating with industry experts.
- Qualifications: 3+ years in data science, strong Python and SQL skills, client-facing experience.
The predicted salary is between 50000 - 65000 £ per year.
Are you a Data Scientist who enjoys building real-world models that drive commercial decisions, not just experimentation? I'm hiring for a Data Scientist to join a leading data and analytics consultancy working across customer insight, marketing, and predictive modelling. This is a brilliant opportunity to work on high-impact data products, combining advanced analytics, business understanding, and client-facing delivery in a collaborative, product-focused environment.
The company is a well-established data consultancy that sits at the intersection of data provision, analytics, and product development. They work with high-volume customer data across sectors like utilities, telecoms, financial services, and charities - using data to solve real commercial problems and drive better decisions. They've built out a Customer Intelligence Platform, where data science, analytics, and product teams collaborate to create scalable, reusable data products.
You'll sit within the Data Science team, working closely with Product Managers, Data Analysts, and subject-matter experts. This is a hands-on modelling role with strong client interaction, where you'll take problems from discovery through to delivery - combining technical expertise with commercial thinking.
What you'll be doing:
- Build predictive models (often propensity modelling / scoring models) to solve real customer and business problems
- Work directly with clients to understand challenges, run discovery sessions, and shape analytical approaches
- Develop and refine models, including training, testing, and optimisation
- Lead rapid prototyping and proof-of-concept work using Databricks notebooks
- Define features, model structures, and scoring outputs for data products
- Translate analytical outputs into clear, actionable insights and presentations for clients
- Contribute to the development of scalable, reusable data products within the platform
Example project:
You might build a model that predicts which customers are most likely to repay debt, then segment them to determine the best engagement strategy - using behavioural and demographic patterns to optimise outcomes.
Tech stack:
- Python & SQL (essential)
- Databricks (core analytics environment)
- Azure-based data platform (with flexibility depending on client environments)
What you bring:
Must-haves:
- 3+ years experience in data science
- Strong Python and SQL skills
- Experience building and evaluating predictive models
- Understanding of data modelling and feature engineering
- Ability to translate data into clear commercial insight and recommendations
- Confident communicator - comfortable working directly with clients
- Consultancy or client-facing experience
Nice to have:
- Experience with Databricks or cloud platforms (Azure, etc.)
- Background in customer, marketing, or transactional data
- Exposure to industries like telecoms, financial services, or utilities
Why this role:
- Work on end-to-end data science projects - not just isolated modelling
- Strong balance of technical work and commercial impact
- Opportunity to contribute to product development and innovation
- Exposure to multiple clients, industries, and use-cases
- Collaborative team environment with analysts, SMEs, and product teams
Working pattern:
- Hybrid: 1 day per week in London
- Open to candidates based in the Midlands who can commute weekly
- Additional flexibility for the right candidate
- UK travel to clients may be required depending on project work
Data Scientist in Nottingham employer: Harnham - Data & Analytics Recruitment
Join a leading data and analytics consultancy that champions a collaborative and innovative work culture, where your contributions as a Data Scientist will directly influence commercial decisions across diverse sectors. With a strong focus on employee growth, you will have the opportunity to work on impactful projects, develop scalable data products, and engage with clients in a hands-on capacity, all while enjoying the flexibility of a hybrid working model based in London or the Midlands. This is not just a job; it's a chance to be part of a forward-thinking team dedicated to solving real-world problems through data.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Nottingham
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and projects. This is your chance to demonstrate your technical expertise and how you've solved real-world problems, making it easier for potential employers to see your value.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. Think about how you can translate your analytical outputs into actionable insights, just like you'd do in the role. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives you a better chance of landing that interview with us directly.
We think you need these skills to ace Data Scientist in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Scientist role. Highlight your experience with predictive modelling, Python, and SQL. We want to see how your skills align with what we’re looking for!
Showcase Your Projects:Include specific examples of projects where you've built models that drove real business decisions. We love seeing how you’ve applied your skills in practical situations, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you’re excited about this role and how your background makes you a perfect fit. We appreciate a personal touch, so let your personality come through.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Models Inside Out
Make sure you can discuss the predictive models you've built in detail. Be ready to explain your approach to feature engineering, model evaluation, and optimisation. This will show that you not only understand the technical side but also how it translates into real-world business solutions.
✨Brush Up on Client Interaction Skills
Since this role involves direct client engagement, practice articulating complex data insights in a way that's easy for non-technical stakeholders to grasp. Think about examples where you've successfully communicated analytical findings and how they influenced decision-making.
✨Familiarise Yourself with the Tech Stack
Get comfortable with Python, SQL, and Databricks before the interview. If you have experience with Azure or similar cloud platforms, be prepared to discuss how you've used these tools in past projects. Showing familiarity with their tech stack will demonstrate your readiness to hit the ground running.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or case studies related to customer data. Practise structuring your thought process and articulating your approach to problem-solving. This will help you showcase your analytical skills and commercial thinking effectively.
