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- Tasks: Analyse automotive finance data and create insightful reports to drive business performance.
- Company: Join CarMoney, one of the UK's fastest-growing finance brokers with a vibrant culture.
- Benefits: Enjoy 30 days holiday, internal development opportunities, and fun colleague events.
- Other info: Be part of a supportive team that values your growth and well-being.
- Why this job: Make a real impact by solving data-driven problems in a dynamic environment.
- Qualifications: Strong analytical skills and experience with SQL, Excel, and data management.
The predicted salary is between 40000 - 50000 £ per year.
CarMoney has become one of the UKs fastest growing finance brokers – and we’re still growing. Over the years we’ve come to work with a large panel of lenders and partners, with some big names like Gumtree, Compare the Market, and Motors joining us for the journey. But we’re not done growing yet, we’re constantly evolving and looking for new people to join our team. We are currently looking for a highly motivated Data Scientist to join the Systems & Data team. This role is critical to supporting our operational performance, lender relationships, and commercial reporting. You will work with large volumes of automotive finance data coming from multiple online platforms and internal systems such as AutoConvert and our in house databases. You will help the business understand performance, maximise lender targets and commission outcomes, automate reporting, and solve data driven problems across the organisation.
Key Responsibilities
- Reporting & Insights
- Build, maintain, and automate daily, weekly, and monthly performance reports for Directors and senior stakeholders.
- Produce insights on lender performance, conversion funnels, commissions, and commercial targets.
- Carry out monthly profitability reviews and highlight actions to maximise revenue.
- Provide clear summaries of trends, issues, and opportunities based on multi source data sets.
- Data Management & Data Flows
- Manage and quality check large datasets from internal systems and external platforms.
- Understand end to end data flows across systems (AutoConvert, SQL Server, Power BI, Excel, Azure).
- Ensure data accuracy, completeness, and consistency across reporting tools.
- Support the automation of manual processes by creating more efficient, scalable data pipelines.
- Problem Solving & Investigation
- Investigate data anomalies, broken processes, unexpected performance changes, or lender issues.
- Work with Analysts, Lender Managers, Sales, and external vendors to identify root causes.
- Review lender filters, target changes, and decisioning rules to ensure alignment with business strategies.
- Analyse operational bottlenecks and provide actionable solutions.
- Data Science & Advanced Analytics (If applicable to candidate)
- Build predictive insights and statistical models to support performance forecasting and optimisation.
- Assist in experimentation, A/B testing and analysis of pricing, lender strategies, or process improvements.
- Support development of decisioning tools, such as credit and risk modelling frameworks.
- Cross Department Collaboration
- Work closely with Sales, Lender Management, Marketing, Operations, and Leadership teams.
- Provide analytical support for new integrations, lender changes, or commercial initiatives.
- Communicate findings in a clear, structured manner—verbal and written.
Daily Tasks
- Extracting and cleaning data from internal tables and external systems.
- Updating and automating daily/weekly lender and performance reports.
- Monitoring lender acceptance and payout performance.
- Reviewing data to maximise commission, revenue, and lender success rates.
- Identifying data issues, duplicates, mismatches, or operational errors.
- Supporting system changes with testing and validation of new data flows.
- Working with the Data Manager on strategic analytics projects and automation.
Essential Skills & Experience
- Technical Skills
- Advanced Excel: Lookups, pivot tables, power queries, formulas, dashboards.
- Azure (preferably): Familiarity with Azure SQL, pipelines, Data Factory, or storage services.
- Strong SQL: Ability to query, manipulate, join, cleanse, and analyse large tables.
- Understanding of Data Flows: How data moves through systems, APIs, tables, and reporting layers.
- Power BI (bonus): Ability to build or update dashboards, measures, and visual reports.
- Analytical Skills
- Ability to review large and complex data sets quickly and accurately.
- Strong problem solving and troubleshooting ability.
- Comfort working with operational, financial, and commercial datasets.
- Behavioural Skills
- Highly organised, with the ability to manage multiple tasks and deadlines.
- Strong attention to detail and a desire to improve processes.
- Good communication skills, able to translate data into simple business language.
- Proactive, curious mindset with a drive for continuous improvement.
Desirable Experience
- Experience in a finance, automotive, or insurance environment.
- Exposure to commercial performance reporting (e.g., funnels, conversion rates, revenue).
- Experience with API-driven platforms or lead-generation data flows.
- A background in data science, mathematics, economics, or similar analytical field.
Whats in it for you
- 30 days holiday rising with length of service.
- Internal development opportunities – climb the Ninja ladder!
- Onsite parking.
- Free tea & coffee and breakfast on a weekend is on us!
- Daily, weekly, and monthly incentives and the big one… Win a trip abroad!
- Employee discounts.
- Generous Ninja Referral Scheme.
- Pension & Life Assurance.
- Enhanced maternity & paternity leave.
- Regular giving back days and charity events.
- Access to the Wellbeing Centre – MOT & In house counselling services.
- Colleague events – Family Fun Day, Annual ball, Christmas party – yes we like to have fun!
If you would love to be part of our CarMoney family, please APPLY now with an up to date copy of your CV. We look forward to hearing from you soon. CarMoney is an equal opportunities employer. Everyone is welcome here, as long as you have the drive and passion to succeed, then we would love to hear from you.
Data Scientist CarMoney in Motherwell employer: CarMoney
Contact Detail:
CarMoney Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist CarMoney in Motherwell
✨Tip Number 1
Network like a pro! Reach out to current employees at CarMoney on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Data Scientist role.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss SQL, Azure, and data flows. We want to see how you can tackle real-world problems with your analytical skills!
✨Tip Number 3
Show off your problem-solving abilities! Be ready to share examples of how you've tackled data anomalies or improved processes in the past. We love candidates who can think on their feet and provide actionable solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the CarMoney family.
We think you need these skills to ace Data Scientist CarMoney in Motherwell
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role at CarMoney. Highlight relevant experience and skills that match the job description, especially around data management and reporting.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for our team. Share your passion for data science and how you can contribute to our growth at CarMoney. Keep it concise but impactful!
Showcase Your Technical Skills: Don’t forget to emphasise your technical skills in Excel, SQL, and Azure. We want to see how you’ve used these tools in past roles to solve problems or improve processes.
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’re considered for the role. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at CarMoney
✨Know Your Data Tools
Familiarise yourself with the tools mentioned in the job description, like SQL, Azure, and Power BI. Be ready to discuss how you've used these tools in past projects or roles, as this will show your technical prowess and readiness for the role.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical skills and problem-solving abilities. Think of specific examples where you've tackled data anomalies or improved processes. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Showcase Your Communication Skills
Since you'll be working closely with various teams, it's crucial to demonstrate your ability to communicate complex data insights in simple terms. Prepare to explain a past project where you successfully translated data findings into actionable business strategies.
✨Research CarMoney and Its Market
Understand CarMoney's position in the finance industry and its partnerships. Being knowledgeable about their operations and challenges will help you tailor your responses and show genuine interest in contributing to their growth.