Grundläggande

Pricing Data Scientist

madrid, Spain Företaget: JR Spain Klient / Arbetsgivare: Admiral Europe Tech
Publicerat: 28.05.2026
Slutdatumet: 12.07.2026
Jobbreferens: 144018089817459916832460

Jobbinformation

Läge
madrid, Spain
Företaget
JR Spain
Klient / Arbetsgivare
Admiral Europe Tech
Jobbreferens
144018089817459916832460
Listningstyp
Grundläggande
EU-arbetstillstånd krävs
Nej
Publicerat
28.05.2026
Slutdatumet
12.07.2026

Arbetsbeskrivning

Role Description

We are looking for an experienced Data Scientist with experience in Insurance Pricing, with the aim of transforming complex data into actionable insights that drive our insurance operations. In this role, you will develop advanced analytics models to guide strategic decisions and solve challenging business problems, partnering closely with cross-functional teams and our Pricing experts.


Main Responsibilities 

  • Improvement of existing models to offer our clients segmented pricing that enables profitable growth through pricing optimization.
  • Optimizing insurance renewal pricing to balance profitability, market positioning, and quality standards.
  • Develop and deploy advanced statistical and machine learning models to address complex challenges, including pricing optimization, claims forecasting, risk assessment, and customer lifetime value (CLV).
  • Partner with domain experts to translate ambiguous business questions into data science frameworks.
  • Partner with the MLOps team to ensure seamless model deployment, monitor for data and concept drift, and adhere to CI/CD and automated retraining best practices. 
  • Design and analyze rigorous A/B and multivariate experiments to validate the efficacy of new algorithms and business strategies.
  • Communicate findings and insights to both technical and non-technical stakeholders.
  • Collaborate with cross-functional teams, including software engineers, product managers, and business analysts, to integrate your models into production systems.
  • Stay up-to-date with the latest advancements in data science and technology.






Requirements:

This is you!

  • Minimum of 3 years of experience in advanced analytics, with a proven track record of solving complex optimization or predictive modeling problems in production.
  • Proven experience in a Pricing area of an Insurance company
  • Expert-level proficiency in Python (e.g., Pandas, Scikit-Learn, PyTorch/TensorFlow) and advanced SQL.
  • Proven experience in predictive analytics and price optimization platforms (Radar, Emblem, Akur8, Earnix)
  • Deep understanding of applied statistics and optimization algorithms.
  • Experience building rating areas, vehicle scores, indemnity cost models and/or demand models.
  • Nice to have: Experience navigating big data environments/cloud platforms (AWS, GCP, Azure) and hands-on familiarity with model deployment.

Färdigheter

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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