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For Companies At a Glance
- Tasks: Lead a data science team to innovate credit risk and pricing models using AI.
- Company: Fast-growing fintech at the forefront of AI and analytics.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in fintech by driving AI adoption and shaping data strategy.
- Qualifications: Expertise in financial services, credit modelling, and leadership experience required.
- Other info: Join a dynamic team and stay ahead of emerging trends in AI/ML.
The predicted salary is between 48000 - 72000 £ per year.
Job Description
Lead Data Scientist – Credit Risk/Pricing
A fast-growing fintech is searching for a Lead Data Scientist to spearhead their next phase of AI and analytics innovation. You’ll combine hands-on modelling with leadership responsibilities, guiding a small team while shaping the company’s long-term data science strategy.
This role will put you at the centre of credit, fraud, and pricing model innovation, while giving you the autonomy to drive AI adoption across the business. If you enjoy bridging technical depth with commercial influence, this is a chance to make a real mark.
Required Background
- Strong background in financial services, consumer lending, or fintech.
- Expert in credit, fraud and pricing modelling.
- Advanced skills in Python, SQL, and ML frameworks.
- Proven ability to design, deploy, and monitor models in production.
- Leadership experience – mentoring or managing data science teams.
- Confidence in regulated environments: model governance, monitoring.
- Excellent communicator who can influence senior stakeholders.
The Opportunity
- Lead and develop a small data science team.
- Build and enhance credit risk, fraud, and pricing models.
- Explore and implement advanced ML techniques.
- Translate complex analytics into clear recommendations for senior leadership.
- Act as the organisation’s AI/ML thought leader, keeping ahead of emerging trends.
Lead Data Scientist - Credit Risk/Pricing employer: Kinarden Search
Contact Detail:
Kinarden Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Credit Risk/Pricing
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space, especially those who are already in roles you aspire to. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those related to credit risk and pricing models. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership experience. Be ready to discuss how you've influenced teams and driven AI adoption in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Lead Data Scientist - Credit Risk/Pricing
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience in financial services and your expertise in credit, fraud, and pricing modelling. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific projects where you've designed, deployed, or monitored models in production. This is your chance to show us your hands-on experience with Python, SQL, and ML frameworks. Don't hold back on the details!
Leadership Experience Matters: Since this role involves leading a small team, make sure to highlight any leadership or mentoring experience you have. We love seeing how you've influenced others and contributed to team success in your previous roles.
Communicate Clearly: Your application should reflect your ability to communicate complex ideas simply. Use clear language to explain your analytics work and how it has impacted senior stakeholders. Remember, we’re looking for someone who can bridge the gap between technical depth and commercial influence!
How to prepare for a job interview at Kinarden Search
✨Know Your Models Inside Out
Make sure you can discuss your experience with credit, fraud, and pricing models in detail. Be prepared to explain the methodologies you've used, the challenges you faced, and how you overcame them. This will show your technical depth and ability to lead a team effectively.
✨Showcase Your Leadership Skills
Since this role involves guiding a small team, be ready to share examples of your leadership experience. Talk about how you've mentored others, managed projects, or influenced decisions within your previous roles. This will demonstrate your capability to lead and inspire.
✨Communicate Clearly and Confidently
As an excellent communicator, you need to convey complex analytics in a way that senior stakeholders can understand. Practice explaining your past projects and their impact on the business in simple terms. This will highlight your ability to bridge technical and commercial aspects.
✨Stay Ahead of Trends
Research the latest trends in AI and machine learning, especially as they relate to fintech. Be prepared to discuss how you can implement these trends in the company’s strategy. Showing that you're proactive about emerging technologies will set you apart from other candidates.
