Grundlegend

Senior Data Scientist - Risk Modelling

london, south east england, United Kingdom Gesellschaft: JR UK Kunde / Arbeitgeber: ADLIB Recruitment | B Corp™
Gepostet: 19.05.2026
Abschlussdatum: 03.07.2026
Berufsreferenz: 0aeddebfb8157678adb12f918495bfcd

Stelleninformationen

Lage
london, south east england, United Kingdom
Gesellschaft
JR UK
Kunde / Arbeitgeber
ADLIB Recruitment | B Corp™
Berufsreferenz
0aeddebfb8157678adb12f918495bfcd
Auflistungstyp
Grundlegend
EU-Arbeitserlaubnis erforderlich
Nein
Gepostet
19.05.2026
Abschlussdatum
03.07.2026

Stellenbeschreibung

  • Build models across credit, insurance, pricing, and more.
  • Leading model development from the ground up to drive business impact.
  • A great next step for a data scientist who thrives in the modelling space.


We’re looking for a Senior Data Scientist with a passion for building risk models. If you’re the kind of data scientist who doesn’t just tweak existing models but creates them from scratch, this is your chance to make a real impact!


What you’ll be doing

This role is all about risk (we can’t stress that enough!). We’re looking for someone technically strong (likely a data scientist or similar) with a proven background in modelling risk across different environments.


As part of a specialist Risk Modelling Team, you’ll operate in a collaborative, matrix-style environment. Your work will include model development, enhancement, and forecasting, ensuring outputs are accurate, robust, and clearly communicated.


This role is also a chance to work on variations of risk, you’ll model across multiple areas and projects, outside of a highly regulated environment. They need someone adaptable, curious, and genuinely passionate about risk modelling. Your projects could include insurance risk, asset risk, financial risk, pricing risk, credit risk, climate risk and more.


You’ll thrive on building and enhancing models from the ground up, bridging the gap between complex statistical techniques and clear, actionable insights for stakeholders. You’ll work closely with senior leaders, collaborate across functions, and play a key role in strategic projects. Sound like you? Apply now!


What experience you’ll need

  • Strong background in risk modelling and using these insights to inform business decisions
  • Proven experience building risk models from scratch and enhancing existing ones
  • Excellent skills in R, Python, or SAS
  • Experience leading complex model updates (both operational enhancements and full development projects) with clear communication of outcomes
  • Ability to present to stakeholders and translate risk issues into business applications
  • Exposure to multiple risk types (insurance, pricing, climate, asset, credit, etc.)
  • Knowledge of model risk management
  • Experience working outside regulated risk environments
  • Desirable: Industry experience in finance, automotive, or similar sectors, plus exposure to advanced techniques like machine learning or predictive modelling


What you’ll get in return

Up to £90,000 base salary, plus a strong bonus and a comprehensive benefits package. You’ll work from the London office three days per week, with flexibility to work remotely the rest of the time.


What’s next?

Apply with your CV, and we’ll be in touch to arrange a conversation if it’s a good fit! Got questions? Drop Tegan a message.

Fähigkeiten

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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