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For Companies At a Glance
- Tasks: Build predictive models to solve real customer and business problems.
- Company: Leading data and analytics consultancy with a collaborative culture.
- Benefits: Hybrid working, exposure to multiple industries, and opportunities for innovation.
- Other info: Join a dynamic team focused on product development and client success.
- Why this job: Make a real impact on high-stakes projects while developing your skills.
- Qualifications: 3+ years in data science, strong Python and SQL skills required.
The predicted salary is between 50000 - 65000 ÂŁ per year.
Are you a Data Scientist who enjoys building realâworld 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 highâimpact data products, combining advanced analytics, business understanding, and clientâfacing delivery in a collaborative, productâfocused environment.
Our company is a wellâestablished data consultancy that sits at the intersection of data provision, analytics, and product development. They work with highâvolume customer data across sectors such as 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.
Where you fit
You will sit within the Data Science team, working closely with Product Managers, Data Analysts, and subjectâmatter experts. This is a handsâon 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 proofâofâconcept 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)
- Azureâbased data platform (with flexibility depending on client environments)
What you bring
Mustâhaves
- 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 clientâfacing experience
Nice to have
- Experience with Databricks or cloud platforms (Azure, etc.)
- Background in customer, marketing, or transactional data
- Exposure to industries such as telecoms, financial services, or utilities
Why this role
- Work on endâtoâend 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 useâcases
- 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 West Bromwich employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Scientist in West Bromwich
â¨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone whoâs already in the data science game. Building relationships can lead to job opportunities that arenât even advertised.
â¨Show Off Your Skills
Create a portfolio showcasing your best projects. Use GitHub or a personal website to display your predictive models and analytics work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
â¨Ace the Interview
Prepare for interviews by practising common data science questions and case studies. Be ready to discuss your past projects and how theyâve driven commercial decisions. Remember, itâs not just about the technical skills; show them your problem-solving mindset!
â¨Apply Through Our Website
Donât forget to apply directly through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist in West Bromwich
Some tips for your application đŤĄ
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 our needs, so donât be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why youâre passionate about data science and how you can drive commercial decisions. Share specific examples of your work that demonstrate your client-facing experience and technical expertise.
Showcase Your Problem-Solving Skills: In your application, give us a taste of your analytical thinking. Describe a challenging project where you built a predictive model or solved a complex problem. We love seeing how you approach real-world issues and translate data into actionable insights!
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. Plus, itâs super easy â just follow the prompts and let us know why youâd be a great fit!
How to prepare for a job interview at Harnham
â¨Know Your Models Inside Out
Make sure you can discuss your predictive models in detail. Be ready to explain the methodologies you used, how you optimised them, and the impact they had on previous projects. This shows not only your technical expertise but also your ability to translate complex concepts into actionable insights.
â¨Understand the Business Context
Before the interview, research the company and its clients. Understand the industries they operate in, such as telecoms or financial services, and think about how data science can solve their specific challenges. This will help you demonstrate your commercial thinking and how you can add value to their team.
â¨Prepare for Client Interaction Scenarios
Since this role involves direct client interaction, be prepared to discuss how you've handled client relationships in the past. Think of examples where you ran discovery sessions or translated analytical outputs into clear insights for clients. This will showcase your communication skills and consultancy experience.
â¨Familiarise Yourself with the Tech Stack
Brush up on your Python and SQL skills, and if you have experience with Databricks or Azure, be ready to talk about it. Even if you haven't used these tools extensively, showing a willingness to learn and adapt will impress the interviewers and demonstrate your commitment to the role.