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For Companies At a Glance
- Tasks: Use advanced analytics to deliver insights and solve business challenges.
- Company: Join BNP Paribas Personal Finance, a global leader in consumer finance.
- Benefits: Enjoy a competitive salary, flexible working, and tailored benefits.
- Other info: Inclusive culture with opportunities for personal and professional growth.
- Why this job: Make a real impact with data and AI in a supportive environment.
- Qualifications: Experience with data analysis tools and predictive modelling is essential.
The predicted salary is between 40000 - 50000 £ per year.
Location: Solihull; a flexible hybrid working model which supports you as well as enabling you to work collaboratively with your colleagues
Contract: Full-time, Permanent
About Us
At BNP Paribas Personal Finance, we’re part of a global banking group with a simple mission: to provide straightforward consumer finance solutions that help customers make responsible financial decisions. We partner with leading UK retailers and brands to support their customers finance purchases responsibly.
The Role
Working in the Analytics team, the Data Scientist provides delivery of commercial value through the usage of advanced analytical methods to deliver actionable insight. The aim is to understand, test, predict and explain customer behaviours and associated levers. You will also contribute to the development of the business through:
- Exploitation of customer knowledge & insight
- Analysis of a range of data sources across business departments
- Implementation of predictive models and business tools utilising ML and AI
- Clear presentation and communication to senior leaders
Key Responsibilities
- Deploy tried and tested advanced analytical techniques to solve business challenges
- Explore and innovate new solutions utilising technology such as generative AI
- Implement A/B testing techniques to demonstrate results where possible
- Maintain and improve BAU processes including model maintenance to meet requirements and ensure confidence in the team
- Create high quality, clear outputs for stakeholders at all levels of the organisation, tailored to educate and inform
- Act as a leader and educator for the power of data and AI across the business
Skills & Attributes
- Highly practised in use of data analysis tools (Python, R, SAS, SQL, etc) and with experience of developing predictive models
- Ability to manipulate data and present information clearly and concisely with non-technical members of the wider business
- Extensive experience in working with large data sets
- Experience working with generative AI and/or agentic AI systems is desirable, but not essential
- Good commercial awareness and a natural intrigue into how a business functions
Could this be you?
Making a positive impact is at the heart of everything we do. We’re looking for people who live by our values, who are positive, brave, and own it. Don’t let confidence hold you back. You don’t need to meet every requirement - if you have around 75% of the skills and the right attitude, we’d love to hear from you.
What’s in it for you
As a Top Employer UK, we offer a supportive, inclusive environment and a flexible benefits package that you can tailor to your lifestyle. Highlights include:
- Competitive salary and comprehensive package, contributory pension, and health cash plan
- Opportunity to buy/sell holiday giving you even more control over your work-life balance
- Flexible benefits including private medical insurance and lifestyle discounts
- A culture that values collaboration, development, and wellbeing
Apply now to join a team that makes a real impact.
Your Application Journey
- Call with our Talent Acquisition team
- Informal chat with the Hiring Manager
- Competency-based interview including a short presentation (90 minutes)
We aim to complete the process within 3-4 weeks, depending on availability. If you’re not shortlisted, we’ll still let you know the outcome. Please note that this role may close early once we have enough suitable applicants, so apply soon.
Equal Opportunities
We’re committed to creating an inclusive workplace and ensuring equal opportunities for all, regardless of age, disability, gender, identity, race, religion, sexual orientation, or background.
Data Scientist in Solihull employer: BNP Paribas Personal Finance
Contact Detail:
BNP Paribas Personal Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Solihull
✨Tip Number 1
Get your networking game on! Reach out to current employees at BNP Paribas Personal Finance on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for that informal chat with the Hiring Manager. Brush up on your knowledge of data analysis tools and think about how you can showcase your experience with predictive models. Be ready to share examples!
✨Tip Number 3
Don’t underestimate the power of a good presentation. If you're asked to present during the interview, make sure your visuals are clear and engaging. Show them you can communicate complex data insights simply!
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at BNP Paribas Personal Finance.
We think you need these skills to ace Data Scientist in Solihull
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Scientist role. Highlight your proficiency in data analysis tools like Python, R, or SQL, and any experience with predictive models. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our mission at BNP Paribas Personal Finance. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or as part of your studies, make sure to mention them. We’re interested in how you’ve applied advanced analytical techniques and any innovative solutions you've developed. This is your time to impress us!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of being noticed. It’s straightforward and ensures your application goes straight to the right people. Don’t wait too long – we might close the role early if we find the right fit!
How to prepare for a job interview at BNP Paribas Personal Finance
✨Know Your Data Tools
Make sure you're well-versed in the data analysis tools mentioned in the job description, like Python, R, and SQL. Brush up on your skills and be ready to discuss specific projects where you've used these tools to derive insights or solve problems.
✨Showcase Your Predictive Modelling Skills
Prepare to talk about your experience with predictive models. Think of examples where you've implemented these models and how they impacted business decisions. Being able to explain your thought process clearly will impress the interviewers.
✨Communicate Clearly with Non-Techies
Since you'll need to present findings to non-technical stakeholders, practice explaining complex data concepts in simple terms. Use relatable examples to demonstrate your ability to bridge the gap between data science and business needs.
✨Be Ready for A/B Testing Discussions
Familiarise yourself with A/B testing techniques and be prepared to discuss how you've used them in past roles. Highlight any successful experiments you've conducted and the insights gained from them, as this shows your practical application of analytical methods.