Lead Data Scientist

🔥 1 hour ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

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Cotality

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏠 Real Estate

🛡️ Insurance

💳 Fintech

💰 $1.6M Venture Round - Cotality on 2016-07

Real Estate • Insurance • Fintech

Cotality is a property intelligence company that provides comprehensive, AI-ready property and location data, analytics, and enterprise software to support decision-making across real estate, lending, insurance, government, and related industries. Its platform includes broad property-level datasets, cloud and marketplace integrations (Databricks, Google Cloud, Snowflake), the Model Context Protocol (MCP) connector, and product suites for valuation, loan origination and servicing, claims and catastrophe modeling, tax, restoration, and listing management. Cotality emphasizes machine learning and forward-looking risk analytics to power underwriting, portfolio monitoring, site selection, and operational workflows for banks, insurers, real estate professionals, and public sector users.

📋 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 deployment into production pipelines • 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 • High proficiency in SQL • Experience working with very large, complex, and sometimes messy datasets • Proven ability to act as a senior technical guide, mentor other 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 with geospatial data is advantageous but not required • Experience in PropTech, FinTech, or the financial services/lending industry 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

• 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 • Flexible working arrangements • Competitive salary and benefits package