

Data Scientist - London/Hybrid - Up to £78k
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in London (Hybrid), offering up to £78k. Requirements include strong data science experience, expertise in Python, cloud tools like AWS SageMaker, and insurance domain knowledge. Contract length is permanent or inside IR35, expected duration over 6 months.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
354.5454545455
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🗓️ - Date discovered
July 19, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Fixed Term
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Clustering #Classification #Base #Python #AWS SageMaker #SageMaker #"ETL (Extract #Transform #Load)" #Unsupervised Learning #Databricks #AI (Artificial Intelligence) #NLP (Natural Language Processing) #Data Wrangling #Libraries #Deployment #Regression #Data Science #Supervised Learning #Model Deployment #AWS (Amazon Web Services) #ML (Machine Learning) #Cloud
Role description
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Data Scientist – Insurance Analytics
Location: London, UK (Hybrid)
Type: Permanent or Inside IR35 Contractor
Industry: Advanced Data & AI Solutions
A global leader in AI-powered data transformation is on the lookout for a seasoned Data Scientist to join its analytics team in London. This company partners with some of the world’s most recognisable insurance brands, helping them solve high-value challenges with sophisticated machine learning, natural language processing, and cloud-scale analytics.
This is more than just a data science role—it's an opportunity to directly shape the future of insurance through innovation, collaboration, and meaningful impact.
Why Join This Company?
This organisation is at the forefront of AI and digital transformation, trusted by Fortune 500 companies across insurance, healthcare, finance, and retail. With a strong emphasis on real-world impact, they blend cutting-edge technology with deep industry expertise to unlock growth for their clients—and for their team.
Their culture prioritises technical excellence, continuous learning, and flexible hybrid work. You'll work in a collaborative, intellectually curious environment that encourages experimentation and autonomy, backed by global infrastructure and top-tier clients.
The Role
You’ll be embedded in a high-performing data team focused on delivering predictive models, NLP solutions, and data products that drive business value in the insurance domain. Working end-to-end, you’ll lead modelling efforts from data wrangling to deployment, all while interfacing with clients and stakeholders in a technically rich environment.
What You’ll Do
• Develop and deploy machine learning models including classification, regression, and clustering
• Work across the full model lifecycle: data prep, EDA, feature engineering, training, evaluation, and scaling
• Build predictive and propensity models for underwriting and claims
• Apply NLP and OCR for document classification and summarisation
• Collaborate with clients and cross-functional teams to translate data into action
What You’ll Bring
• Strong hands-on data science and ML experience
• Expert in Python and modern data science libraries
• Experience with AWS SageMaker, Databricks, or similar cloud tools
• Strong background in supervised/unsupervised learning, statistical modelling, and model deployment
• Solid understanding of NLP techniques for document processing
• Domain experience in insurance (e.g., underwriting, claims)
• Ability to work in a fast-paced, client-facing environment
Perks & Benefits
• Competitive base salary, up to £78,000 + bonus
• Private healthcare, life & critical illness insurance, income protection
• Strong pension scheme
• Cycle-to-work scheme and cashback reward programs
• Access to professional development, courses, and internal learning platforms
• Flexible hybrid model to support work–life balance
• Inclusive, diverse, and high-performance culture
• Eligibility to participate in a global employee stock plan
Please Note: You must have the legal right to work in the UK to be considered for this role.
With the process underway, interest has been high in the position, applicants are encouraged to apply swiftly to avoid missing out on an opportunity to interview.