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 a comprehensive benefits package.
- Other info: Be part of a collaborative culture that values your development and wellbeing.
- Why this job: Make a real impact by leveraging data and AI to drive business success.
- Qualifications: Experience with data analysis tools and predictive modelling is essential.
The predicted salary is between 45000 - 55000 € per year.
Location: Solihull; flexible hybrid working model to support collaborative work
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
What’s in it for you
- 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. 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 employer: BNP Paribas Personal Finance
At BNP Paribas Personal Finance, we pride ourselves on being an excellent employer by fostering a collaborative and inclusive work culture in Solihull. Our flexible hybrid working model supports a healthy work-life balance while offering competitive salaries, comprehensive benefits, and ample opportunities for professional growth. Join us to make a meaningful impact in the world of consumer finance, where your contributions are valued and recognised.
Contact Detail:
BNP Paribas Personal Finance Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at BNP Paribas Personal Finance on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. Be ready to discuss how you've used Python, R, or SQL in past projects. Show them you can turn data into actionable insights!
✨Tip Number 3
Don’t just talk about your technical skills; highlight your ability to communicate complex ideas clearly. Practice explaining your past projects to someone without a technical background to nail this down.
✨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
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Scientist role. Highlight your experience with data analysis tools like Python and SQL, and showcase any predictive models you've developed. We want to see how your skills align with our mission!
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 you can contribute to our Analytics team. Be sure to mention any innovative solutions you've implemented in the past.
Showcase Your Communication Skills:As a Data Scientist, you'll need to present complex data insights clearly. In your application, demonstrate your ability to communicate effectively with non-technical stakeholders. We love seeing examples of how you've done this before!
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 don’t miss out on any important updates. Plus, it’s super easy!
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. Be ready to explain your thought process and the results in a way that’s easy for non-technical folks to understand.
✨Communicate Clearly
Since you'll need to present findings to senior leaders, practice explaining complex data concepts in simple terms. Use visuals if possible, and think about how you can tailor your communication style to different audiences within the company.
✨Stay Curious About Business Functions
Demonstrate your commercial awareness by researching BNP Paribas Personal Finance and understanding their business model. Be prepared to discuss how your analytical skills can contribute to their mission of providing straightforward consumer finance solutions.
