QBE Insurance Logo

QBE Insurance

Senior Data Scientist

Posted 10 Hours Ago
Be an Early Applicant
In-Office
London, England
Senior level
In-Office
London, England
Senior level
The Senior Data Scientist will lead analytical projects, mentor juniors, and apply data science and machine learning to enhance decision-making in insurance processes.
The summary above was generated by AI
Primary DetailsTime Type: Full time

Worker Type: Employee

Senior Data Scientist

London

Permanent (Hybrid)

About QBE

At QBE, we get to the heart of what matters for our customers. And we do it all with a human touch.

We’re an international insurer with more than 13,000 people working across 26 countries – which means we’re big enough for your ambitions, yet small enough for you to make a real impact. It’s an exciting time. We’re building momentum towards our vision to become the most consistent and innovative risk partner.

What if you could have a positive impact – at work and in the world? As part of the QBE team, you’ll get to spend every day working with people who are passionate, talented and kind.

Having the right to work in the UK is a requirement for this role. QBE may consider sponsorship at its discretion.

The opportunity

As a Senior Data Scientist, you’ll play a key role in a high‑impact pricing and data science team within a leading commercial insurer. You’ll bring solid technical expertise, deep commercial awareness, and the ability to lead analytical work that drives decision‑making across the insurance value chain.

You’ll act as a point of referral for the wider team, mentor junior data scientists, and help shape best practices in model development, governance, and responsible AI. This is ideal for someone ready to step into broader ownership, increased autonomy, and higher levels of cross‑functional influence.

Your new role

Reporting into the Data Science Manager, you’ll apply data science and machine learning to real‑world challenges, turning complex data into clear, commercially meaningful insights.

Typical responsibilities include:

  • Deliver high‑quality, commercially impactful analytics, ML, and AI solutions.

  • Lead multi‑stakeholder analytical projects across underwriting, claims, operations, and customer functions; set structure, cadence, and deliverables.

  • Act as a technical point of referral for Data Scientists advising on modelling approaches, data quality, coding standards, and solution design.

  • Demonstrate specialist knowledge (e.g., pricing or domain‑specific modelling) and apply it to complex business problems.

  • Present clear, compelling, and well‑structured analyses to technical and non‑technical audiences, with a sharp focus on commercial implications.

  • Translate ambiguous business questions into structured analytical problems; define success metrics and validation plans.

  • Ensure models and outputs meet governance, documentation, and regulatory standards (e.g., GDPR, EU AI Act); promote robust workflows, version control, testing, peer review, and model risk governance.

  • Contribute to evolving data science methodologies, internal tooling and governance frameworks.

About you

You’re a hands‑on data scientist who enjoys solving real problems with data, and you communicate your thinking with clarity and confidence. You’re collaborative, open, and comfortable operating in fast‑paced, cross‑functional environments.

What you’ll bring:

  • Data science experience in commercial insurance.

  • Experience delivering advanced analytics or ML solutions that achieve sustained business impact.

  • Experience leading analytical workstreams or projects and coordinating inputs across multiple stakeholders.

  • Advanced Python (pandas, NumPy, scikit‑learn; visualisation libraries).

  • Proficiency working in cloud‑based Linux environments (e.g., Azure, AWS, GCP, Databricks).

  • Understanding of software engineering best practices, including git, modular code design, and reproducible workflows.

  • Excellent communication, storytelling, and stakeholder‑management skills; comfortable presenting to senior, technical, and non‑technical audiences.

  • Experience mentoring or coaching junior colleagues to raise the bar for the team.

Benefits

We offer a range of benefits to help provide holistic support for your work life, whatever your circumstances. As a QBE employee you will have access to and benefit from:

30 days holiday a year with the option to buy up to 2 additional days.  

Flexible working - balancing work and life is important so our flexible working opportunities are open to all, this can include part-time, job share and compressed hours.  

Pension – you are automatically enrolled into the QBE pension plan, which entitles you to receive employer contributions of 10% of your basic salary.  

Private medical insurance – we fund fully comprehensive private medical cover for you and all the family.   

Family friendly policies – we offer 26 weeks leave at full pay regardless of gender identity, sexual orientation or how you become a parent.  

Short term remote work abroad - you can request up to 20 days per year to work remotely from certain locations abroad.  

Sustainable investing - we believe sustainable integration is important for long term financial, environmental, and social outcomes. Our pension strategy supports our net-zero goal to achieve year-on-year reductions in carbon footprint, by investing more in green businesses than the broader market, so your savings are looking after the planet's future, as well as your own.  
Cycle-to-Work – benefit from regular exercise whilst making your commute greener and cheaper, select and bike and/or accessories up to the value of £5,000.  

To find out more visit our  Rewarding our people - QBE European Operations

#LI-Hybrid

Awards & Recognition

We value our employee’s experience with us and are proud to have been recognised for the following awards:

Winner of Excellence in Diversity, Equity & Inclusion Award 2025 at the Insurance Business Australia Awards for our Respect@QBE program

Insurance Post British Insurance Awards 2025: Winner: Commercial Lines Insurer of the Year, 
Winner: Reinsurer of the Year - QBE Re, Winner: ESG, Diversity, Equity and Inclusion Initiative of the Year, Winner: Insurance Personality of the Year - Chris Wallace, Executive Director UK insurance 

AXCO Global Insurance Awards 2024 Winner: Network Management of the Year  

Insurance Business UK 5-Star Cyber Awards 2024: QBE rated as a 5-Star Cyber Insurer  

UK IT Industry Awards 2023 Winner: Green Technology Innovation of the Year  

Working Dads Employer Awards 2023 Winner: Parental Policies Award  

Insurance Post British Insurance Awards 2023: QBE rated as a 5-Star Employee 

You can view all our awards here  

Apply now and let’s make it happen!   

If you’re looking for a career that combines your expertise and your empathy, click Apply today.  

 Your career. At the heart of it.   

Skills:

Communication, Critical Thinking, Data Science, Data Visualization, Financial Products, Innovation, Intentional collaboration, Machine Learning (ML), Managing performance, Mentorship, Research Analysis, Risk Management, Stakeholder Management, Team Management, Thought Leadership

How to Apply:

To submit your application, click "Apply" and follow the step by step process.

Equal Employment Opportunity:

QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.

Top Skills

AWS
Azure
Databricks
GCP
Numpy
Pandas
Python
Scikit-Learn

Similar Jobs

6 Days Ago
Hybrid
London, England, GBR
Senior level
Senior level
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
The Senior Data Scientist will lead the delivery of data science solutions, mentor teams, and develop ML models to address business challenges.
Top Skills: AWSAzureGCPHiveMl LibrariesPythonRedshiftSpark
21 Days Ago
Hybrid
London, Greater London, England, GBR
Senior level
Senior level
Fintech • Mobile • Payments • Software • Financial Services
The Senior Data Scientist will develop predictive models for marketing, analyze customer behavior, and manage growth opportunities using causal inference and LTV modeling.
Top Skills: DockerKafkaPythonPyTorch
3 Days Ago
In-Office or Remote
2 Locations
Senior level
Senior level
Music
The Senior Data Scientist will partner with Product Managers to leverage data insights for product decisions, improve developer experience, and communicate findings clearly to stakeholders, contributing to a culture of measured decision-making.
Top Skills: SQLStatistical Reasoning

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account