Infoplus Technologies UK Limited
Data Science Consultant
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Data Science Consultant
FTE
London, UK (Hybrid)
Role Overview
We are seeking a highly consultative Data Science Consultant with strong insurance industry experience. The role requires a blend of business consulting and hands-on delivery, with approximately 60% of time spent engaging with business stakeholders and 40% spent building and delivering data science and AI solutions.
Key Responsibilities
Business Consulting (60%)
- Engage with business stakeholders to understand strategic objectives, challenges, and opportunities.
- Facilitate discovery workshops and requirements-gathering sessions.
- Translate business problems into data science, AI, and analytics use cases.
- Present solution approaches, prototypes, and recommendations to business and executive stakeholders.
- Act as a trusted advisor, helping clients prioritise initiatives and define measurable business outcomes.
- Work closely with underwriting, claims, pricing, risk, and customer operations teams.
- Drive adoption of AI and analytics solutions through effective stakeholder management and communication.
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Solution Development (40%)
- Design and develop predictive, machine learning, and Generative AI solutions.
- Build prototypes, proof-of-concepts, and production-ready analytical models.
- Perform data exploration, feature engineering, model development, and validation.
- Collaborate with data engineers and architects to operationalise solutions.
- Ensure solutions follow Responsible AI, governance, and security best practices.
- Support deployment, monitoring, and continuous improvement of models.
Required Experience
- 10+ years of experience in Data Science, AI, Machine Learning, or Advanced Analytics.
- Demonstrable experience working within the Insurance industry.
- Strong understanding of insurance domains such as Claims, Underwriting, Pricing, Risk, Policy Administration, or Customer Experience.
- Experience leading business discussions and consulting engagements.
- Ability to communicate complex technical concepts to non-technical audiences.
- Strong stakeholder management and presentation skills.
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Technical Skills
- Python, SQL, and modern data science toolsets.
- Machine Learning and Predictive Analytics.
- Generative AI, LLMs, RAG, and Agentic AI frameworks.
- Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Databricks, or equivalent cloud platforms.
- Data visualisation and storytelling tools such as Power BI.
- MLOps and model lifecycle management.
Preferred Qualifications
- Experience in client-facing consulting roles.
- Exposure to cloud-based AI and analytics platforms.
- Understanding of Responsible AI and governance frameworks.
- Relevant certifications in Azure AI, Data Science, or Cloud technologies.
Success Profile
- Strong communicator who can influence business stakeholders.
- Equally comfortable in boardroom discussions and hands-on solution development.
- Able to bridge business strategy and technical implementation.
- Passionate about using AI and data science to solve complex insurance business challenges.
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