Data Scientist

• Build and maintain integrated healthcare datasets across the Nordic countries
• Manage end-to-end data workflows from ingestion and transformation through harmonisation, linkage, documentation, and version control
• Ensure datasets are high quality, reproducible, and fit for evidence generation through robust data cleaning and quality assurance processes
• Conduct analyses that help answer important questions about patient populations, pathways, treatment patterns, outcomes, and healthcare utilisation
• Contribute to methodological design including derivations, algorithms, code lists, and analysis dataset specifications
• Produce clear technical documentation, visualisations, and reporting outputs to support transparency and interpretation of results
• Explore AI-assisted approaches to strengthen data quality checks and anomaly detection where relevant
• Ensure all work is carried out in line with applicable privacy, governance, ethical, and regulatory requirements

Health Data Scientist – Medical Evidence

• Build and maintain integrated healthcare datasets across the Nordic countries.
• Manage end-to-end data workflows from ingestion and transformation through harmonisation, linkage, documentation, and version control.
• Ensure datasets are high quality, reproducible, and fit for evidence generation through robust data cleaning and quality assurance processes.
• Conduct analyses that help answer important questions about patient populations, pathways, treatment patterns, outcomes, and healthcare utilisation.
• Contribute to methodological design including derivations, algorithms, code lists, and analysis dataset specifications.
• Produce clear technical documentation, visualisations, and reporting outputs to support transparency and interpretation of results.
• Explore AI-assisted approaches to strengthen data quality checks and anomaly detection where relevant.
• Ensure all work is carried out in line with applicable privacy, governance, ethical, and regulatory requirements.

• Analysera stora och komplexa datamängder för att identifiera mönster, risker och möjligheter kopplade till företagsaffären.
• Arbeta med datadriven hypotesprövning och modellutvärdering för att stärka beslutsfattandet inom Corporates & Institutions.
• Ta fram analyser och insikter som används som beslutsstöd, i nära samarbete med affärsrepresentanter.
• Utveckla och förbättra modeller inom avancerad analys och machine learning – från dataförståelse till produktionssatta modeller.
• Samarbeta med IT‑arkitekter och utvecklingsteam för att säkerställa att data och modeller kan användas effektivt i bankens plattformar.
• Bidra till att utveckla teamets arbetssätt inom data science och avancerad analys.

Data Scientist, Client Solutions

• Develop and maintain models for usage, remaining useful life, residual value, pricing, lifecycle forecasting, and portfolio risk
• Turn operational vehicle data and business data into practical recommendations and decision support
• Define, test, and document model assumptions, limitations, and uncertainty
• Build analytical prototypes, simulations, dashboards, APIs, and other decision-support tools
• Work closely with data engineering to secure reliable data, data quality checks, and trustworthy outputs
• Productionize models through scheduled jobs, cloud functions, APIs, tests, versioning, and monitoring where relevant
• Support discussions across customer, finance, sales, product, and partner areas with clear, data-driven analysis
• Create structure in unclear problem areas and help move the work forward in a small team

Senior Data Scientist

• Define and own the data & AI strategy in close collaboration with the CTO and product leadership.
• Build and lead a high-performing team of 2–4 data engineers, analysts, and ML/AI specialists.
• Act as the internal authority on data and AI, shaping how Abion thinks about and uses these capabilities.
• Represent data & AI interests in cross-functional planning, roadmap discussions, and executive conversations.
• Design and deliver a scalable, well-governed data platform, including pipelines, warehousing, and data quality, all fit for a growing business.
• Establish data standards, documentation practices, and governance frameworks from day one.
• Partner with Platform Engineering to ensure data is a first-class citizen in Abion’s architecture.
• Build out BI and analytics capabilities that give stakeholders clear, reliable insight into business and product performance.
• Identify and prioritise the highest-value AI opportunities across Abion’s product portfolio and internal operations.
• Lead the design and delivery of AI-powered features, working tightly with Product and Platform Engineering.
• Own the full lifecycle from proof of concept through to production, including evaluation, monitoring, and iteration.
• Ensure AI applications are robust, explainable, and aligned with Abion’s legal and compliance context.

Head of Data, AI

• Work across the full ML lifecycle
• Contribute to the development of LLM-powered pipelines
• Support the design and testing of GenAI architectures
• Assist in building and iterating on workforce management models
• Help develop client churn models

Junior Data Scientist

• Owning the architecture of LLM-powered pipelines that extract structure and insight from large volumes of unstructured text, such as incident reports, operational logs, client data.
• Designing and stress-testing end-to-end GenAI architectures (e.g. RAG), prompt strategies, and evaluation frameworks - relevance, faithfulness, hallucination rates, latency tradeoffs - and setting the bar for what 'good' looks like on the team.
• Building and productionizing workforce management models - demand forecasting, shift scheduling optimization, and attrition modeling - that help deploy officers more effectively.
• Developing client churn models that give the business early, actionable retention signals.
• Driving the end-to-end ML lifecycle: from problem framing and data strategy through to monitored, production-grade systems.
• Translating ambiguous business problems into concrete technical roadmaps - and pushing back when the framing is wrong.
• Mentoring junior data scientists and setting technical standards across the team.
• Presenting findings, model behavior, and tradeoffs to senior stakeholders clearly and credibly.

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Health Data Scientist – Medical Evidence

Health Data Scientist – Medical Evidence

Data Scientist, Client Solutions

Senior Data Scientist

Head of Data, AI

Junior Data Scientist

Senior Data Scientist