Data Scientist - London/Hybrid - up to £78k

ZipRecruiter; London; Hybrid; GBP 65,000 - 78,000; Full time

Job summary

ZipRecruiter is seeking a Data Scientist specializing in Insurance Analytics in London. This role involves developing machine learning models and collaborating with high-performance data teams. You'll work on predictive analytics to drive business value in the insurance sector. A strong understanding of Python and ML is essential, as you will lead model deployment and engage with clients in a dynamic environment. Competitive salary, benefits, and a flexible work model are offered.

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

Qualifications

• 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 modeling, 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.

Responsibilities

• 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.

Skills

Python

Machine Learning

NLP

Tools

AWS SageMaker

Databricks

Job description

Job DescriptionData Scientist - Insurance Analytics

Location: London, UK (Hybrid)
ype: 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 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 opportunuty to interview.

Reach out to Marley Taylor at Tenth Revolution Group for more information on this position: [e-mail]