At a Glance
- Tasks: Lead data science strategy for non-lending products and drive innovative projects.
- Company: Dynamic financial services company focused on innovation and growth.
- Benefits: Competitive salary, flexible working, and opportunities for professional development.
- Other info: Opportunity to mentor talented data scientists and shape future products.
- Why this job: Be at the forefront of data science in a rapidly evolving industry.
- Qualifications: Strong background in Python, SQL, and data science project management.
The predicted salary is between 70000 - 90000 € per year.
Requirements
- You enjoy working with cross-functional fast-moving teams.
- You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers.
- You enjoy being the thought partner to the managing directors who are in charge of launching and growing the new products.
- You are excited about getting your hands dirty and getting the work done.
- Successful track record of managing data science projects, with cross-functional teams and senior stakeholders.
- Confident and effective communication both internally and externally.
- Extensive knowledge of the financial services industry, including the products, data, typical ML applications, and related regulations.
- Excellent technical skills in Python, SQL, and statistics.
- Hands-on experience across the model lifecycle from scoping and model development to deployment and monitoring.
- (Desirable) Experience of working in insurance, telco or consulting in the financial services industry.
What the job involves
- We are looking for the first data scientist to own the data science strategy for non-lending products. You will partner with the managing directors to define what to build from a data science perspective and lead the delivery of the data science projects.
- So far, we have successfully re-engineered our ‘Big Three’ of UK consumer finance: Unsecured Loans, Credit Cards, and Auto Finance into high frequency, low latency automated systems.
- Now, we are diversifying our ecosystem. Car Insurance is our first venture into non-lending products, presenting a sophisticated new domain for our data strategy.
- You will directly report to the Head of Data Science (Catherine Chen) who is managing the data science team. You will start as an IC and potentially have people-management responsibilities in the future.
- Own the data science roadmap to contribute to new product expansion.
- Build trust and influence a diverse range of leaders and stakeholders.
- Gather requirements internally and externally to define the success of the data science projects.
- Drive exciting data science projects from both strategic level and tactical level.
- Clearly communicate results to stakeholders through verbal and written communication.
- Share ideas with the wider team, learn from and contribute to the body of knowledge.
- Be a great mentor to a team of talented data scientists and the broader analytics community.
Lead Data Scientist (Non-Lending) in London employer: Deepstreamtech
As a Lead Data Scientist at our innovative financial services firm, you will thrive in a dynamic and collaborative work culture that values strategic thinking and hands-on execution. We offer exceptional growth opportunities, allowing you to shape the data science strategy for non-lending products while working closely with senior leaders. Our commitment to employee development, coupled with a focus on cutting-edge projects in a rapidly evolving industry, makes us an outstanding employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist (Non-Lending) in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the financial services industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those that highlight your experience with Python, SQL, and machine learning. 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 communication skills. Practice explaining complex data concepts in simple terms, as you’ll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Lead Data Scientist (Non-Lending) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Lead Data Scientist role. Highlight your experience with cross-functional teams and any successful data science projects you've managed.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this role and how you can contribute to our non-lending products. Show us your strategic thinking and how you can be a thought partner to our managing directors.
Showcase Your Technical Skills:Don’t forget to mention your technical expertise in Python, SQL, and statistics. We want to see how you've applied these skills in real-world scenarios, especially in the financial services industry.
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’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Deepstreamtech
✨Know Your Data Science Stuff
Make sure you brush up on your technical skills, especially in Python, SQL, and statistics. Be ready to discuss your hands-on experience with the model lifecycle, from scoping to deployment. This will show that you’re not just a theorist but someone who can get their hands dirty and deliver results.
✨Understand the Financial Services Landscape
Familiarise yourself with the financial services industry, particularly non-lending products like car insurance. Knowing the products, data, and typical machine learning applications will help you speak confidently about how data can unlock value for customers and support product growth.
✨Communicate Like a Pro
Since you'll be working with cross-functional teams and senior stakeholders, practice your communication skills. Prepare to clearly articulate your ideas and findings, both verbally and in writing. This will help you build trust and influence among diverse leaders.
✨Show Your Strategic Thinking
Be prepared to discuss how you think strategically about commercial products. Think of examples where your data-driven decisions have led to successful outcomes. This will demonstrate your ability to partner effectively with managing directors and contribute to the data science roadmap.
