Data Scientist

Job Title: Mid-Level Data Analyst / Data Scientist

Location: Hybrid – 4 days onsite, 1 day remote

Salary: £50,000 + equity

About the Role

I'm working with a Fintech who are looking for a mid-level Data Analyst / Data Scientist to join a growing data function within a fast-paced, collaborative startup environment. The business already has a Data Scientist in place, but increasing data demands mean there is now a need to add capacity, reduce risk, and evolve data science from a reactive support function into a true business partner.

You’ll be working in a collaborative, fast-paced environment where data drives decision-making across risk, fraud, customer insights, efficiency initiatives, and co-brand partnerships. This is an excellent opportunity for someone with strong technical fundamentals and analytical skills, who is eager to grow with the business and make a tangible impact.

Responsibilities

• Work alongside an existing Data Scientist to support data science and analytics across the business
• Execute SQL-driven analysis to support decision-making across risk, fraud, bad debt, and efficiency initiatives
• Support initiatives across risk, fraud detection, and bad debt reduction
• Act as a data partner to internal teams and external co-brand partners
• Prioritise incoming data requests and improve efficiency
• Help build scalable solutions to enable self-serve analytics
• Collaborate closely with data engineers and technical stakeholders
• Present insights to senior leadership

Requirements

Essential:

• Strong SQL querying skills
• Solid experience with Python (R a plus)
• Strong grasp of analytics and data science fundamentals
• Mathematical, statistical, or quantitative academic background
• Comfortable working with large datasets
• Confident in a fast-paced, ambiguous environment
• Strong problem-solving and logical thinking skills
• Collaborative mindset, curious and eager to learn

Desirable:

• Experience with BI and visualization tools (Metabase, QuickSight)
• Exposure to Redshift, MongoDB, Excel
• Fintech experience or strong commercial awareness
• Previous experience in client-facing or stakeholder-facing roles

Profile Fit:

• Technically strong but curious, collaborative, and eager to learn
• Confident in conversations with senior stakeholders and peers
• Enjoys working in an in-person, highly collaborative environment

Why This Role Is Exciting

• Join a small but growing data team with exposure to multiple business areas
• Opportunity to help shape and evolve the data science function from support to strategic partner
• High exposure to senior leadership and business decision-making
• Work on high-impact projects that directly influence company growth and efficiency
• Competitive salary plus equity in a fast-paced Fintech startup

If this sounds like you or someone you know then send your CV over to Zoe.Hinkinson@propellondon.com