ANSR is hiring for one of its clients:
About BRIT:
Brit India GCC is the heart of Brit Insurance's innovation engine. Their team of highly skilled professionals specializes in Data Engineering, Platform Engineering, Full-Stack Web Application Development, Data Management, and Testing. Born in 1995 in London (UK), Brit Ltd. is a leading international general insurance and reinsurance group. Boasting one of the largest and most diverse portfolios in Syndicate 2987, we hold an influential and respected presence at Lloyd's of London. Renowned for our innovative approach to commercial insurance and reinsurance, we at Brit are committed to securing an uncertain future with a hallmark of certainty.
A legacy of excellence, driving innovation and personalized service to create exceptional customer experiences.
Principal Accountabilities:
- Apply classical data science, machine learning techniques as well as generative and agentic AI methods to solve business problems and support Brit's operational simplification strategy
- Plan and implement structured proof-of-concept solutions for generative AI and agentic systems, including prompt optimization at scale, fine-tuning strategy, and model selection decisions grounded in evidence
- Translate complex AI outputs into clear, accessible insights for operational and business stakeholders, bridging scientific rigor with practical usability
- Design and implement evaluation frameworks for AI systems, constructing benchmarks and defining quality metrics appropriate to the use case
- Build and maintain groundedness, hallucination, safety, and other quality measures for generative AI outputs, defining what good looks like for specific operational scenarios
- Analyze foundation model behaviour in development and production settings, identifying failure modes, bias patterns, and performance boundaries
- Improve confidence in AI solutions by establishing robust evaluation methods and clear quality thresholds for operational use cases
- Contribute to the development of applied AI best practices by documenting findings, evaluation approaches, and reusable methods for future use cases
- Maintain clear and coherent communication, both verbal and written to articulate requirements, findings, limitations, and recommendations
- Align to the AI Enablement operating model by adopting agile methodologies and contributing to team culture and continuous improvement.
Education, Qualifications, Knowledge, Skills and Experience:
Required education/experience:
- Bachelor's Degree or higher in a STEM field. Experience utilizing data science in a commercial environment
Preferred education/experience:
- Master's Degree or higher in a STEM field. Experience utilizing data science in a commercial environment.
Technical:
- Strong theoretical understanding and experience with statistical modelling and classical data science including traditional machine learning models
- Strong technical understanding and experience with Gen AI methods; prompt engineering, RAG, fine-tuning strategy, LLM output assessment
- Experience with building and operationalizing agentic AI solutions
- Experience with evaluation framework design; benchmark construction, A/B testing, quantitative quality metrics for AI outputs
- Strong data visualization and insights communication skills
- Strong ability to translate between scientific and business language for non-technical stakeholders
- Insurance domain familiarity and experience working in a regulated industry is a plus
Non-Technical:
- Investigative, analytical and problem-solving skills.
- Ability to quickly adapt to new methods, work under tight deadlines.
- Ability to work well within a team environment, participate in department/team projects and balance detail with departmental objectives.
- Strong oral and written communication skills, demonstrating the ability to convey technical terminology that is meaningful and well received.
- Ability to resolve conflict, foster teamwork and work collaboratively across different business areas.
