Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Data Scientist
- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
- Not stated
- Employment
Permanent · Full-time — employment source
Job Type: Permanent Build a brilliant future with Hiscox
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDeliver ad hoc analysis and predictive or prescriptive models across business functions
Own end-to-end data solutions, from understanding problems to designing and building them
Use machine learning or Generative AI techniques on large and small data sets, including third-party data
Communicate analytical insights and their business value to stakeholders
Work with data scientists, product and business teams to deliver analytics
From the employer’s posting
delivering both ad hoc analysis and predictive/prescriptive models
Working on the end-to-end data solution including understanding complex business challenges, designing solutions
working with large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or Generative AI techniques
Communicating the business value of your analytical solutions to stakeholders will be a key part of your role.
Work collaboratively with data scientists and other technical disciplines including product and business teams.
What you’ll bring
All qualificationsCore experience
- Experience using statistical analysis, machine learning, generative AI, and data science techniques to identify trends, generate insights, and support business decision-making.
- Experience with analytical tools, programming languages, and databases, such as Python and SQL.
- Experience working both independently and collaboratively within small, cross-functional teams to deliver analytics and data science projects.
Preferred experience
- Knowledge of the insurance industry is beneficial but not required.
Qualification wording
Experience using statistical analysis, machine learning, generative AI, and data science techniques to identify trends, generate insights, and support business decision-making.
Experience with analytical tools, programming languages, and databases, such as Python and SQL.
Experience working both independently and collaboratively within small, cross-functional teams to deliver analytics and data science projects.
Knowledge of the insurance industry is beneficial but not required.
Posting record
Report an errorActively hiringFirst seen by us 11 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 24, 202611 days ago
- Recorded sightings
- 19
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 11
Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
Hiscox is hiring
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- GCP
Where the posting names them
- Experience using statistical analysis, machine learning, generative AI, and data science techniques to identify trends, generate insights, and support business decision-making. - Experience with analytical tools, programming languages, and databases, such as Python and SQL. - Working knowledge of generative AI techniques and technologies, including large language models (LLMs), prompt engineering techniques, AI-assisted coding tools, and agentic AI workflows.
- Willingness to learn and apply engineering best practices, including version control, testing, code review, and reproducible development workflows. - Exposure to cloud platforms such as Google Cloud Platform (GCP) is advantageous but not essential. - Knowledge of the insurance industry is beneficial but not required.
Your next step
Complete your application on hiscox.wd3.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Has Hiscox posted this job before?
Yes. We’ve followed 2 other Data Scientist jobs there since May 2026. One came down after 5 days. One is still up.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Job Type:
PermanentBuild a brilliant future with Hiscox
As a Data Scientist at Hiscox, you will take on a high-impact role, acting as a critical thinker and problem solver for the business. You'll apply your core technical skills and innovative thinking to tackle complex challenges, identify opportunities, and help shape data-driven decision-making across the London Market.
You'll operate across a wide variety of business functions, managing multiple priorities and delivering both ad hoc analysis and predictive/prescriptive models. Your work will contribute directly to building Hiscox's data culture and enabling evidence-based decisions in a fast-paced, evolving environment. Communicating the business value of your analytical solutions to stakeholders will be a key part of your role.
You'll be part of an award-winning team, recognised for its pioneering collaboration with Google to deliver the market's first AI-enhanced lead underwriting solution. This achievement reflects the team's commitment to innovation, impact, and excellence in applying data science to real-world insurance challenges.
As a Data Scientist, you'll work within a wider technical team whose efforts span multiple business functions, bringing a multi-disciplinary approach to problem solving and analysis.
This is an ideal role for someone who is passionate about using analytics to influence decisions and is keen to continue learning and delivering value through data. You'll be expected to conceptualise new approaches, communicate your vision to stakeholders, and see ideas through to implementation.
Key Responsibilities
- Leveraging industry standards, emerging methodologies and empirical research to develop critical inputs to business information and helping business leaders develop innovative approaches to driving their business.
- Working on the end-to-end data solution including understanding complex business challenges, designing solutions, working with large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or Generative AI techniques.
- Work collaboratively with data scientists and other technical disciplines including product and business teams.
- Work closely with other members of the data and analytics community at Hiscox, contributing to delivering value through the use of a range of analytics techniques.
Person Specification
- Degree in a STEM or closely related field or equivalent experience. A further degree is a plus.
- Practical data science experience, applying analytical techniques to solve business problems and deliver valuable insights. Experience of data science in finance or insurance is advantageous but not required.
- Experience conducting data analysis, experimentation, and model development to address business challenges. Comfortable using generative AI technologies, including AI-assisted coding tools, to accelerate research, development, and problem-solving, while maintaining a thorough understanding of the methods, code, and outputs produced.
- Able to critically review, validate, and take ownership of AI-assisted work, ensuring solutions are accurate, explainable, and fit for purpose, while working effectively both independently and as part of a team.
Skills
- Experience using statistical analysis, machine learning, generative AI, and data science techniques to identify trends, generate insights, and support business decision-making.
- Experience with analytical tools, programming languages, and databases, such as Python and SQL.
- Working knowledge of generative AI techniques and technologies, including large language models (LLMs), prompt engineering techniques, AI-assisted coding tools, and agentic AI workflows.
- Interest in a broad range of data science, machine learning, and AI techniques, with an eagerness to learn about emerging technologies and industry best practice.
- A strong grounding in statistical concepts and their practical application.
- Experience working both independently and collaboratively within small, cross-functional teams to deliver analytics and data science projects.
- Strong verbal, written, and presentation skills, with the ability to communicate technical concepts and insights clearly to both technical and non-technical stakeholders.
- Willingness to learn and apply engineering best practices, including version control, testing, code review, and reproducible development workflows.
- Exposure to cloud platforms such as Google Cloud Platform (GCP) is advantageous but not essential.
- Knowledge of the insurance industry is beneficial but not required.
Work with amazing people and be part of a unique culture
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
York
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- Work authorization
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