At a Glance
- Tasks: Lead data science strategy and drive impactful projects in non-lending products.
- Company: Join a leading fintech with a focus on innovation and growth.
- Benefits: Flexible working, health coverage, retirement plans, and office perks.
- Other info: Dynamic environment with opportunities for career advancement and learning.
- Why this job: Shape the future of financial services and mentor a talented team.
- Qualifications: Proven experience in data science and strong technical skills in Python and SQL.
The predicted salary is between 80000 - 100000 £ per year.
Overview
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.
The role involves expanding from the established high-frequency, low-latency automated systems for the
Big
Three: Unsecured Loans, Credit Cards, and Auto Finance, into non-lending products, starting with Car Insurance.
Responsibilities
- 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 success metrics for data science projects.
- Drive data science projects from strategic planning to tactical execution; clearly communicate results to stakeholders (verbal and written).
- Share ideas with the wider team, learn from and contribute to the body of knowledge.
- Mentor a team of data scientists and contribute to the broader analytics community.
- Collaborate with cross-functional teams and senior stakeholders to deliver impact on product initiatives.
Qualifications
- Successful track record of managing data science projects with cross-functional teams and senior stakeholders.
- Extensive knowledge of the financial services industry, including 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.
- Nice to have: experience in insurance, telecom, or consulting within financial services.
What we offer
- Life at Lendable: opportunity to scale with one of the world\'s leading fintechs; flexible working arrangements with hybrid or remote options.
- Health coverage for physical and mental wellbeing; retirement savings plans.
- Employee referral programme with a competitive bonus.
- Office meals and snacks on in-office days; a fully stocked kitchen at select locations.
- Sustainable commuting options, including cycle-to-work and salary sacrifice schemes in select locations.
- #J-18808-Ljbffr
We think you need these skills to ace Lead Data Scientist in City of Westminster
Data Science Strategy
Project Management
Stakeholder Management
Requirements Gathering
Success Metrics Definition
Communication Skills
Mentoring
