At a Glance
- Tasks: Lead the data science function and develop innovative AI strategies for lending decisions.
- Company: Dynamic financial technology firm based in London with a focus on innovation.
- Benefits: Hybrid work model and a competitive salary between £120,000 to £170,000.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Make a significant impact by embedding AI across the business and transforming workflows.
- Qualifications: Strong background in statistics and experience managing data science teams.
The predicted salary is between 120000 - 170000 £ per year.
A financial technology firm in London is seeking a Head of Data Science & AI to lead the data science function. The role involves developing probabilistic models for lending decisions, embedding AI across the business, and collaborating with engineering and product teams.
Candidates should have a strong background in statistics, experience managing data science teams, and a proven capacity for transforming analytical workflows.
This position offers a hybrid work model with a competitive salary range of £120,000 to £170,000.
Head of Data Science & AI — Lead AI Strategy & Impact employer: Iwoca Ltd
Join a forward-thinking financial technology firm in London that prioritises innovation and employee development. With a hybrid work model, competitive salary, and a collaborative culture, this company fosters an environment where your expertise in data science and AI can thrive, allowing you to make a significant impact on the business while advancing your career.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Science & AI — Lead AI Strategy & Impact
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving AI and probabilistic 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 soft skills. Be ready to discuss how you've transformed analytical workflows and led teams in the past. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your experience in leading AI strategy and collaborating with cross-functional teams.
We think you need these skills to ace Head of Data Science & AI — Lead AI Strategy & Impact
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data science and AI, especially any work with probabilistic models. We want to see how your background aligns with the role, so don’t be shy about showcasing your stats skills!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about leading AI strategy and how you’ve successfully transformed analytical workflows in the past. Let us know what makes you the perfect fit for our team.
Showcase Team Management Experience:Since this role involves managing data science teams, make sure to highlight your leadership experience. Share examples of how you've guided teams to success and fostered collaboration with engineering and product teams.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Iwoca Ltd
✨Know Your Stats
Brush up on your statistics knowledge, especially around probabilistic models. Be ready to discuss how you've applied these concepts in past roles, particularly in lending decisions.
✨Showcase Leadership Experience
Prepare examples of how you've successfully managed data science teams. Highlight specific projects where your leadership made a significant impact on the team's performance and outcomes.
✨Collaborate Like a Pro
Think about times you've worked with engineering and product teams. Be ready to share how you facilitated collaboration and what strategies you used to ensure everyone was aligned on goals.
✨Transformative Insights
Have concrete examples of how you've transformed analytical workflows in previous positions. Discuss the challenges you faced and the innovative solutions you implemented to improve efficiency and effectiveness.
