Senior Data Scientist

🔥 7 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Design and implement sophisticated machine learning algorithms and statistical models to analyse large, complex datasets and extract actionable insights • Develop and program advanced methods, processes, and systems to consolidate and analyse unstructured, diverse big data sources • Create predictive models and algorithms for client services and product enhancement • Collaborate with cross-functional teams to understand business requirements and translate them into analytical frameworks • Develop and maintain data pipelines for efficient data processing and analysis • Create advanced visualisation tools and dashboards for technical and non-technical stakeholders • Mentor junior data scientists and provide technical guidance on complex projects • Evaluate and implement new data science technologies and approaches to improve analytical capabilities

🎯 Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field required • 3+ years of relevant work experience required • Strong programming skills in languages such as Python, R, or Java required • Expertise in statistical analysis, machine learning algorithms, and predictive modeling required • Experience working with big data technologies and unstructured data sources required • Proficiency with data manipulation and analysis libraries (Pandas, NumPy, SciPy) required • Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) required • Excellent communication and presentation skills required

🏖️ 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