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- Tasks: Lead a team to develop advanced machine learning models for credit risk and customer experience.
- Company: Join a fast-growing B2B FinTech backed by billionaires and a major global investment firm.
- Benefits: Enjoy opportunities for knowledge exchange and collaboration with experienced leaders in the field.
- Why this job: Be part of an innovative team shaping the future of finance with cutting-edge data science.
- Qualifications: Experience in data science, machine learning, and a passion for FinTech is essential.
- Other info: Work closely with a former Data Scientist CEO and a supportive team of 35.
The predicted salary is between 43200 - 72000 £ per year.
Head of Data Science (hands on) – FinTech
Head of Data Science role with a fast-growing B2B FinTech company, backed by multiple billionaires and a major global investment firm.
You’ll join an existing team of 2 Data Scientists within a wider business of 35 staff and report to the Chief Product Officer. The CEO is a former Data Scientist, providing opportunities for knowledge exchange!
The Head of Data Science will work on:
- Credit risk models: Collaborate with the Chief Risk Officer to develop advanced machine learning models.
- Affordability models: Utilize bureau and open banking data to create transaction classification models and determine safe borrowing limits for individual businesses.
- Product improvements: Use predictive models to identify key drivers of the conversion funnel and work with the CPO to enhance customer experience.
- Sales and distribution: Apply predictive models to identify UK businesses most interested in the company's products and services.
- Data analytics tech: Partner with the CTO and developers to establish optimal data and analytics environments, including rapid model deployment and data lake creation using AWS Lake Formation.
Apply now for this Head of Data Science role with a rapidly growing FinTech.
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Head of Data Science (hands on) - FinTech (London) employer: Wyatt Partners
Contact Detail:
Wyatt Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science (hands on) - FinTech (London)
✨Tip Number 1
Network with professionals in the FinTech space, especially those who have experience in data science. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends in credit risk modelling and machine learning.
✨Tip Number 2
Familiarise yourself with AWS Lake Formation and other relevant data analytics technologies. Consider taking online courses or certifications that focus on these tools, as hands-on experience will be crucial for this role.
✨Tip Number 3
Prepare to discuss your previous experience with predictive modelling and how it has impacted customer experience. Be ready to share specific examples of projects where you collaborated with cross-functional teams, particularly in a B2B context.
✨Tip Number 4
Research the company’s current data science initiatives and think about how you can contribute to their goals. Tailor your discussions during interviews to highlight how your skills align with their objectives, especially in enhancing customer experience through data-driven insights.
We think you need these skills to ace Head of Data Science (hands on) - FinTech (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in FinTech. Emphasise your hands-on skills with machine learning models and any experience you have with credit risk analysis.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or achievements that demonstrate your ability to lead a data science team and collaborate effectively with other departments.
Showcase Technical Skills: Clearly outline your technical skills related to data analytics technologies, especially those relevant to AWS Lake Formation and machine learning. Provide examples of how you've successfully implemented these technologies in past roles.
Highlight Leadership Experience: Since this is a Head of Data Science position, be sure to highlight any previous leadership roles. Discuss your experience in mentoring data scientists and collaborating with cross-functional teams to drive business outcomes.
How to prepare for a job interview at Wyatt Partners
✨Showcase Your Technical Skills
As a Head of Data Science, you'll need to demonstrate your expertise in machine learning and data analytics. Be prepared to discuss specific projects where you've developed credit risk models or worked with predictive analytics. Highlight your experience with AWS and any relevant technologies.
✨Understand the FinTech Landscape
Familiarise yourself with the current trends and challenges in the FinTech industry. Be ready to discuss how you can leverage data science to address issues like credit risk and customer experience. Showing that you understand the business context will impress the interviewers.
✨Prepare for Collaborative Discussions
Since this role involves working closely with the Chief Risk Officer and CTO, think about how you can foster collaboration. Prepare examples of how you've successfully worked in cross-functional teams and how you plan to communicate effectively with other departments.
✨Ask Insightful Questions
Interviews are a two-way street. Prepare thoughtful questions about the company's data strategy, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.
