Lead Product Data Scientist

🕒 May 20

🏢🏡 London – Hybrid

⏰ Full Time

🟠 Senior

📊 Data Scientist

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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

• Drive Product Analytics: Be the dedicated analytical leader for the Zable app, deeply understanding user behavior and engagement drivers to identify high-impact opportunities • Develop and maintain key product metrics, dashboards, and reporting frameworks that provide visibility into user behavior, overall app health, and business performance • Conduct deep-dive analyses into user behaviour, segmentation, and lifecycle patterns to identify growth opportunities and friction points • Apply data science techniques to build predictive models for user behavior, churn risk, and uplift modeling to inform proactive product decisions • Drive Experimentation & Testing: Own the end-to-end A/B testing process, including experimental design, execution, analysis and recommendations • Establish experimentation standards and best practices, including test design, statistical rigour, and result interpretation • Shape Strategy & Decision-Making: Challenge assumptions and provide data-driven perspectives that shape strategic discussions and roadmap planning • Proactively partner with product managers, analysts and engineers to embed data into the daily decision-making flow and translate complex findings into clear business recommendations • Establish Analytical Excellence: Define and champion analytics best practices, standards, and methodologies within the growth analytics team.

🎯 Requirements

• 5+ years of experience in data analytics, ideally within a product-led or high-growth tech environment • Hands-on experience with dbt and familiarity with data modelling best practices • High proficiency in SQL and strong proficiency in data analysis in Python • Demonstrates strong statistical rigour, applying appropriate methods to ensure robust, reliable insights • Highly skilled in experimentation frameworks, including A/B testing, hypothesis testing, and causal inference • Experience building metrics, dashboards and reporting infrastructure • Demonstrated ability to turn ambiguous problems into structured and data-drive insights • Excellent communication skills with experience influencing cross-functional stakeholders and product leaders.

🏖️ Benefits

• Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites • Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls • 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