At a Glance
- Tasks: Build and improve predictive models while working with real customer data.
- Company: Join a dynamic team focused on credit risk and customer analytics.
- Benefits: Earn £490/day, enjoy remote work, and fast-track your career.
- Other info: Fast interview process and 12-month contract with growth opportunities.
- Why this job: Make a real impact by influencing decision-making with data insights.
- Qualifications: Experience in Data Science and strong statistical modelling skills required.
I'm currently working with a client looking for a hands-on Data Scientist to join their team on a credit risk & customer analytics project. This is a great opportunity for someone who enjoys practical, business-facing data science - working with real data, improving models, and influencing decision-making.
What you'll be doing:
- Building and improving predictive models (starting with logistic regression, progressing to more advanced methods)
- Working with large customer datasets to support credit risk and onboarding decisions
- Running data QA checks and validating datasets
- Analysing model performance and turning outputs into clear business insights
- Supporting initiatives across fraud, identity risk, and investigations
Tech / Tools:
- Python (increasingly)
- R
- Azure / Databricks
- Large-scale data environments
Ideal background:
- Experience in Data Science / Machine Learning roles
- Strong understanding of statistical modelling & predictive analytics
- Experience working with customer data and large datasets
- Confident communicating insights to non-technical stakeholders
- (Desirable) experience in credit risk, fraud, or financial services
Details:
- £490/day (Inside IR35)
- Primarily remote (occasional Cardiff visits ~1x/month)
- Fast interview process - looking to move quickly
- 12 month contract
Data Scientist in Cardiff employer: Computer Futures
At Computer Futures, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. As a Data Scientist working remotely in the UK, you'll enjoy the flexibility of remote work while having access to exciting projects in credit risk and customer analytics, alongside opportunities for professional growth and development. Our commitment to employee well-being and a supportive environment makes us an attractive choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Cardiff
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who have experience in credit risk. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving predictive models and customer data. This will give potential employers a taste of what you can do and how you can influence decision-making.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data insights in simple terms, as you'll need to impress non-technical stakeholders. We all know how important that is!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re keen to help you land that Data Scientist role in credit risk – let’s make it happen!
We think you need these skills to ace Data Scientist in Cardiff
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with predictive models, customer data, and any relevant tools like Python or R. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about credit risk and how your background makes you a great fit. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's building models or analysing datasets, we want to see your hands-on experience. Include links if possible – we love seeing your work in action!
Apply Through Our Website:Don't forget to apply through our website! It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates. We can’t wait to hear from you!
How to prepare for a job interview at Computer Futures
✨Know Your Models
Make sure you brush up on your predictive modelling skills, especially logistic regression and any advanced methods you've used. Be ready to discuss how you've built and improved models in the past, and how those experiences can translate to the role.
✨Data is Your Best Friend
Familiarise yourself with large customer datasets and be prepared to talk about your experience with data QA checks. Highlight any specific examples where your analysis led to clear business insights, especially in credit risk or fraud.
✨Communicate Like a Pro
Since you'll be working with non-technical stakeholders, practice explaining complex data concepts in simple terms. Think of examples where you've successfully communicated insights and influenced decision-making in previous roles.
✨Get to Know the Company
Research the company’s approach to credit risk and customer analytics. Understanding their business model and challenges will help you tailor your answers and show that you're genuinely interested in contributing to their success.
