Data Scientist – UK Cards

🕒 May 14

🏢🏡 London – Hybrid

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Lendable

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Lendable is a loan management company that provides fast loans with fair rates. Customers can see their loan rates before applying without impacting their credit score and can receive money the same day. Lendable emphasizes transparency, safety, and customer satisfaction, with strong customer reviews and regulatory compliance under the FCA. The company offers loans ranging from £1,000 to £25,000 with flexible repayment terms and competitive APR rates.

📋 Description

• Develop and deploy machine learning models that improve underwriting, pricing and customer management decisions. • Work with large and complex datasets to generate insights that influence credit and commercial strategy. • Take ownership of models and decision systems throughout their lifecycle, from research and development through production monitoring and iteration. • Collaborate with stakeholders across the business to translate ambiguous problems into measurable outcomes. • Contribute to the team’s technical knowledge through idea sharing, experimentation and continuous learning.

🎯 Requirements

• Strong programming skills in Python and SQL. • Understanding of statistics, machine learning and quantitative problem solving. • Ability to approach ambiguous problems with structure and pragmatism. • Curious, fast-moving and highly collaborative mindset. • Interest in advanced machine learning techniques and applied research (nice to have). • Experience in credit risk, lending or broader financial services (nice to have). • Interest in machine learning infrastructure and optimisation (nice to have).

🏖️ Benefits

• Health coverage: support for your physical and mental wellbeing, including private health cover • Retirement & savings: long-term financial wellbeing through retirement savings plans • Employee referral programme: earn a competitive bonus when you refer successful new team members • Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations • Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations