LexisNexis Risk Solutions

3 weeks ago

Senior Data Scientist (Commodity Markets) m/f/d

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Experienced Quant Analyst / Data Scientist in energy markets to design, improve and maintain models and Python (Dash) applications for augmented energy pricing; work with market experts to translate domain knowledge into analytics, deploy data-driven market models, and drive insights that support trading and operations across global markets.

Location: Karlsruhe, London

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Maintain and enhance applications in Python (Dash) to put the “human in the loop” with Data Science models.
•Drive and support R&D and operation of data-driven analytical market models, co-develop strong quantitative market models, and drive cloud-based model and process automation.
•Engage with internal market experts to explain models and insights, discussing market structure and drivers, translating domain knowledge back into models.
•Drive maintenance and improvements of the code base and backend data architectures for operational models.
•Develop, test, and roll out new application functionality and change requests following product owner prioritization.

Travel: Low travel

Pay and Benefits

Perks:Gym MembershipSocial Leave

Key Requirements

•3-5 years of practical experience as a software engineer, preferably in markets and market prices.
•Excellent Python skills with experience using Python packages for applications (such as Dash).
•Professional use of version control tools in projects involving several developers.
•Experience designing and managing containerized applications and familiarity with cloud platforms (e.g., AWS).
•Data handling and data modeling knowledge using relational databases (e.g., PostgreSQL).

Experience:3-5 yearsEnergyCommoditiesMarketsData scienceAnalytics

Skills:CommunicationTeamworkProblem-solvingPresentationStakeholder management

Tech Stack:PythonDashPostgreSQLAWSDockerGit

Company Brief

LexisNexis Risk Solutions

Provides data, analytics, and technology solutions to help businesses manage risk, detect fraud, comply with regulations, and make decisions across insurance, financial services, government, and commercial sectors.

Industry: RegTech

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Public Company

Headquarters: Alpharetta, United States

Website LinkedIn

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LexisNexis Risk Solutions

3 weeks ago

Senior Data Scientist (Commodity Markets) m/f/d

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Location: Karlsruhe, London

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Maintain and enhance applications in Python (Dash) to put the “human in the loop” with Data Science models.
•Drive and support R&D and operation of data-driven analytical market models, co-develop strong quantitative market models, and drive cloud-based model and process automation.
•Engage with internal market experts to explain models and insights, discussing market structure and drivers, translating domain knowledge back into models.
•Drive maintenance and improvements of the code base and backend data architectures for operational models.
•Develop, test, and roll out new application functionality and change requests following product owner prioritization.

Travel: Low travel

Pay and Benefits

Perks:Gym MembershipSocial Leave

Key Requirements

•3-5 years of practical experience as a software engineer, preferably in markets and market prices.
•Excellent Python skills with experience using Python packages for applications (such as Dash).
•Professional use of version control tools in projects involving several developers.
•Experience designing and managing containerized applications and familiarity with cloud platforms (e.g., AWS).
•Data handling and data modeling knowledge using relational databases (e.g., PostgreSQL).

Experience:3-5 yearsEnergyCommoditiesMarketsData scienceAnalytics

Skills:CommunicationTeamworkProblem-solvingPresentationStakeholder management

Tech Stack:PythonDashPostgreSQLAWSDockerGit

Company Brief

LexisNexis Risk Solutions

Industry: RegTech

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Public Company

Headquarters: Alpharetta, United States

Website LinkedIn