Lead Data Scientist

🕒 October 2

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 27%

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Cotality

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🛡️ Insurance

📦 Logistics

Consulting • Insurance • Logistics

Cotality is a global property data and analytics company that aggregates, models, and delivers comprehensive property, climate risk, tax, valuation, and market intelligence through software platforms and data marketplaces. It provides SaaS products and APIs for lenders, insurers, real estate professionals, government agencies, utilities, and restoration firms to support underwriting, lending, claims, valuation, marketing, and resilience planning. Cotality combines large-scale datasets, machine learning, and domain expertise to power decisioning, workflow automation, and predictive analytics for property-related industries.

📋 Description

• Lead the design and implementation of advanced predictive models using statistical and machine learning techniques • Provide technical leadership and mentorship to data scientists • Own the end-to-end model lifecycle from R&D and prototyping through production deployment • Partner with senior stakeholders across Product, Sales, and Leadership to translate business needs into analytical solutions • Champion best practices in model development, validation, and maintenance • Guide the technical strategy for core data products used by major financial institutions across the UK • Contribute to a new data platform

🎯 Requirements

• Typically 8+ years of experience developing and deploying high-impact machine learning models in a commercial environment • Expert-level knowledge of statistical analysis, predictive modelling, and ensemble techniques such as Gradient Boosted Trees and Random Forests • High proficiency in Python for data science, including Pandas, Scikit-Learn, XGBoost/LightGBM • Proficiency in SQL • Demonstrable experience working with very large, complex, and sometimes messy datasets • Experience with geospatial data is advantageous but not required • Proven ability to mentor data scientists and lead the technical direction of complex projects • Ability to explain complex technical concepts to non-technical stakeholders and influence strategic decisions • Experience in PropTech, FinTech, or financial services/lending is desirable • Hands-on experience developing or deploying Automated Valuation Models is desirable • Familiarity with model validation, performance benchmarking, and compliance metrics within a regulated industry is desirable

🏖️ Benefits

• Flexible working arrangements • Generous paid leave • 8 bank holidays • Dedicated days for wellbeing and volunteering • Up to 16 weeks of fully paid parental leave • Baby bonus • Company-paid private medical cover • Mental health and wellness resources • Pension scheme with employer contributions • £375 annual wellbeing allowance • Recognition rewards • Referral bonuses • Exclusive discounts • Competitive salary and benefits package

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