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- Tasks: Join a dynamic team to develop innovative credit risk models and drive data-driven solutions.
- Company: Be part of one of the UK's fastest-growing fintech companies shaping consumer finance.
- Benefits: Enjoy a hybrid work model with 3 days onsite and competitive salary ranging from £60,000 to £80,000.
- Why this job: Make a real impact in the fintech space while collaborating with cross-functional teams.
- Qualifications: Strong Python skills and experience in credit/lending are essential; excellent communication is a must.
- Other info: This role cannot sponsor, so applicants must have the right to work in the UK.
The predicted salary is between 48000 - 64000 £ per year.
Senior Data Scientist – (Credit Risk / Fintech)
Salary: £60,000 – £80,000
Location: London – Hybrid – 3 days a week onsite
Join one of the UK’s fastest-growing fintech companies as a Senior Data Scientist, driving innovative credit risk models that will shape the future of consumer finance.
ROLE AND RESPONSIBILITIES
- Be part of a high-impact Data Science team at the core of product offering
- Develop proprietary risk models to enhance underwriting quality
- Lead projects and new initiatives, contributing to strategic decision-making
- Translate complex business problems into data-driven solutions
- Work closely with cross-functional teams to deploy and monitor models without a separate ML engineering team
- Communicate findings effectively to technical and non-technical stakeholders
SKILLS AND EXPERIENCE
Required
- Strong proficiency in Python
- Solid understanding of machine learning techniques and their applications
- Experience in the credit/lending industry
- Excellent communication skills with the ability to present complex data insights clearly
- Proven ability to lead projects and contribute effectively within a team environment
Nice to Have
- Interest in machine learning engineering
- Strong SQL skills and a keen interest in data engineering
This role cannot sponsor. Apply now.
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Senior Data Scientist employer: SitePoint Pty.
Contact Detail:
SitePoint Pty. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarize yourself with the latest trends in credit risk modeling and fintech. This will not only help you understand the industry better but also allow you to discuss relevant topics during your interview, showcasing your passion and knowledge.
✨Tip Number 2
Prepare to demonstrate your proficiency in Python and machine learning techniques through practical examples. Think of specific projects where you've successfully applied these skills, as this will help you stand out during technical discussions.
✨Tip Number 3
Practice explaining complex data insights in simple terms. Since you'll be communicating with both technical and non-technical stakeholders, being able to convey your findings clearly is crucial for this role.
✨Tip Number 4
Network with professionals in the fintech and credit risk space. Attend industry meetups or webinars to connect with others, which can provide valuable insights and potentially lead to referrals for the position.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, particularly in credit risk and fintech. Emphasize your proficiency in Python and any relevant machine learning projects you've led.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for fintech and your understanding of credit risk models. Mention specific projects or experiences that demonstrate your ability to translate complex problems into data-driven solutions.
Showcase Communication Skills: Since the role requires effective communication with both technical and non-technical stakeholders, include examples in your application that illustrate how you've successfully communicated complex data insights in the past.
Highlight Team Collaboration: Discuss your experience working in cross-functional teams. Provide examples of how you've contributed to team projects and initiatives, especially in environments where you had to lead without a dedicated ML engineering team.
How to prepare for a job interview at SitePoint Pty.
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and machine learning techniques. Bring examples of past projects where you've developed risk models or solved complex business problems using data.
✨Communicate Clearly
Practice explaining your findings in a way that both technical and non-technical stakeholders can understand. This will demonstrate your ability to bridge the gap between data science and business needs.
✨Highlight Leadership Experience
Share specific instances where you've led projects or initiatives. Emphasize your role in strategic decision-making and how you contributed to team success.
✨Prepare for Cross-Functional Collaboration
Think about examples where you've worked with different teams to deploy and monitor models. Be ready to discuss how you navigated challenges and ensured effective communication across departments.
