Senior Data Scientist & AI Solutions (m/f/d)

LexisNexis Risk Solutions Group; Greater London; Hybrid; GBP 56,000 - 96,000; Full time

Benefits offered by this job

Fitness studio

Work from anywhere

Leave for social engagement

Professional development

Job summary

LexisNexis Risk Solutions Group is seeking a Senior Data Scientist to design and deliver analytical and AI-driven solutions for the Chemicals and energy sector. You will work with customers to understand goals, prototype solutions and iteratively improve models in collaboration with product teams.

You will apply modern AI methods, manage data quality, and communicate complex insights to diverse stakeholders while contributing to scalable data platforms.

Qualifications

• We are seeking 3-5 years of experience in Data Science, Applied AI, Analytics or related fields.
• Proven track record delivering analytical or AI solutions from concept to deployment.
• Experience applying modern AI approaches including LLMs, retrieval systems and agentic workflows.
• Strong Python skills with data science libraries.
• Good problem-solving in ambiguous, rapidly evolving environments.
• Experience designing experiments and measuring business impact.

Responsibilities

• Collaborate with customers to understand goals, workflows and challenges.
• Identify high-impact opportunities where data science and AI add value.
• Prototype, test and iterate solutions with customer feedback.
• Apply data science and AI techniques to solve customer problems.
• Combine data sources and domain knowledge to build analytical solutions.
• Communicate insights clearly to technical and non-technical audiences.
• Contribute to best practices in experimentation, modeling and maintainability.
• Surface data and platform gaps to inform product investments.
• Collaborate with product, engineers and commercial stakeholders in cross-functional teams.
• Share learnings to accelerate innovation and future engagements.

Skills

Data Science

Applied AI

Python

Cloud platforms

Version control

Stakeholder management

Communication

Data modelling

Business problem solving

Experimentation

Job description

Salary: £56,000 - 96,000 per year

Requirements

• We are looking for 3-5 years of experience in Data Science, Applied AI, Analytics or a related field.
• We want a proven track record of developing and delivering analytical, machine learning or AI solutions from concept through deployment.
• We value experience evaluating and applying modern AI approaches, including large language models, retrieval-based systems and agentic workflows.
• Strong Python skills and experience with common data science and analytics libraries are required.
• We need strong problem-solving skills and the ability to work effectively in ambiguous and rapidly evolving environments.
• Experience designing experiments and measuring business impact of data science solutions is important.
• Good understanding of data modelling, data quality and working with structured and unstructured data is required.
• Experience with cloud platforms, APIs and containerised applications is needed.
• Professional use of version control and collaborative software-development practices is expected.
• Experience working directly with business stakeholders or customers to identify and solve high-value business problems is required.
• Excellent communication and stakeholder management skills with the ability to translate business challenges into practical analytical solutions are needed.
• Experience in Chemicals, Energy, commodity markets or related industrial sectors is desirable but not required.

Responsibilities

• We work closely with customers to understand their goals, workflows, decision processes and key business challenges.
• We identify high-impact opportunities where data science, analytics and AI can create measurable value.
• We rapidly prototype, systematically test and iterate solutions with customers, incorporating user feedback to improve value, usability and adoption.
• We apply data science, machine learning and AI techniques, including modern generative AI and agentic approaches where appropriate, to solve customer problems.
• We combine ICIS data, domain expertise and customer context to develop differentiated analytical solutions.
• We communicate insights, recommendations and technical concepts clearly to both technical and non-technical audiences.
• We contribute to best practices in experimentation, model development, evaluation, documentation and maintainability.
• We surface customer needs and gaps in data, semantics and platform capabilities to help shape future ICIS product, data and AI investments.
• We collaborate with product managers, subject matter experts, engineers and commercial stakeholders in a cross-functional Customer Deployed Team.
• We share learnings across teams to accelerate innovation and improve future customer engagements.

Technologies

• AI
• Cloud
• Support
• Machine Learning
• Python

More

We are ICIS, part of Lexis Nexis Risk, a FTSE 20 company with revenues of $12.9 billion in 2025 and more than 30,000 employees across 40 countries. We provide data services, thought leadership and decision tools that help businesses in the energy, petrochemical and fertilizer industries make strategic decisions, mitigate risk, improve productivity and capitalize on new opportunities. Our global team of more than 700 employees works across locations including London, New York, Houston, Karlsruhe, Frankfurt, Milan, Mumbai, Singapore, Guangzhou, Beijing, Shanghai, Dubai, Sao Paulo, Seoul, Tokyo and Perth. This Senior Data Scientist role focuses primarily on Chemicals, with relevant experience in Energy, commodities or related industrial sectors also valued. We offer country-specific benefits, including a fitness studio, 20 days work from anywhere, 2 additional days of leave for social engagement, and ongoing learning and professional development opportunities. Our Data Science team combines the energy of a start-up with the support and stability of a global organization, and we are committed to building an inclusive workplace where everyone can thrive. The role is based in Germany - Karlsruhe or UK - London (London Wall), with a base pay range in Germany of 59,300 - 98,600.

Benefits

• fitness studio
• 20 days work from anywhere
• 2 additional days of leave for social engagement
• ongoing learning and professional development opportunities

last updated 36 week of 2026