Data Scientist

Propel; Greater London; Hybrid; GBP 50,000; Full time

Job summary

A dynamic Fintech startup based in Greater London is seeking a Mid-Level Data Analyst/Data Scientist to enhance their data function. You'll work in a collaborative, fast-paced environment where data-driven decision-making is pivotal to the business. Key responsibilities include executing SQL-driven analyses, supporting risk and fraud initiatives, and acting as a data partner for diverse teams. Ideal candidates have strong SQL skills, Python experience, and a background in analytics. The role offers competitive compensation and equity opportunities.

Benefits

Competitive salary

Equity opportunities

Collaborative work environment

Qualifications

• Experience in a fast-paced, ambiguous environment.
• Confident in problem-solving and logical thinking.
• Eager to learn and adapt within a collaborative setting.

Responsibilities

• Support data science and analytics across the business.
• Execute SQL-driven analysis for various business needs.
• Act as a data partner to internal and external stakeholders.
• Improve efficiency and prioritize incoming data requests.
• Collaborate with data engineers and present insights.

Skills

Strong SQL querying skills

Solid experience with Python

Strong grasp of analytics and data science fundamentals

Mathematical, statistical, or quantitative academic background

Comfortable working with large datasets

Strong problem-solving skills

Collaborative mindset

Tools

BI and visualization tools (Metabase, QuickSight)

Redshift

MongoDB

Excel

Job description

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 [e-mail]