{"id":3144998,"url":"https://alion.io/job/brit-insurance-applied-ai-scientist","title":"Applied AI Scientist","company":{"id":2055822,"name":"Brit Insurance","domain":"britinsurance.com","url":"https://alion.io/company/britinsurance","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":49000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":41},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hallucination","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-10-23T09:35:15Z","employer_posted_date":null,"last_verified_at":"2026-10-23T09:35:15Z","board_verified":false,"closed_at":null,"days_open":10,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":10},"description":"As an Applied AI Scientist, you will bring scientific rigour to the design, evaluation, and improvement of cutting-edge AI solutions supporting Brit's operational simplification strategy. You will bridge the gap between classical data science, traditional machine learning, and modern Generative and Agentic AI methodsWorking alongside AI/ML engineers, data engineers, and business leaders, you will define quality standards, build evaluation frameworks, and translate complex AI outputs into practical, actionable business insights.\n\nResponsibilities: \nAI Solution Development: Combine classical ML and cutting-edge Gen AI/agentic methods to solve key business challenges and drive operational efficiency.\nProof-of-Concept and Experimentation: Plan and execute structured PoCs for generative and agentic AI systems covering large-scale prompt optimisation, fine-tuning, and model selection.\nEvaluation and Benchmarking: Design robust evaluation frameworks, define quantitative quality metrics, and construct benchmarks to test real-world AI performance.\nQuality and Safety Assurance: Establish groundedness, safety, and hallucination metrics to ensure trustworthy AI behaviour.\nModel Analysis: Analyse foundation model behaviour in dev/prod environments to identify failure modes, bias, and performance limits.\nCross-Functional Collaboration: Translate complex AI concepts into clear, accessible insights for operational stakeholders and non-technical business partners.\nAgile Culture: Contribute to the AI Enablement operating model, adopting agile methodologies and building reusable AI best practices.\n\nRequirements: \nRequired: Bachelor's degree in a STEM field with experience applying data science in a commercial setting.\nPreferred: Master's degree or higher in a STEM field.\n\nTechnical Skills: \nStrong foundation in statistical modelling and classical machine learning.\nHands-on experience with GenAI methods: prompt engineering, RAG, fine-tuning strategies, and LLM output assessment.\nExperience building and operationalising agentic AI solutions.\nProven track record designing evaluation frameworks, benchmark construction, A/B testing, and quality metrics.\nExcellent data visualisation and technical communication skills.\n(Bonus) Familiarity with the insurance domain or experience in a regulated industry.\nSkills\nAI, GenAI, LLM, ML, RAG, fine tuning, finetuning, generative AI, large language model, machine learning, prompt engineering, retrieval augmented generation, scientist, statistical, statistics","description_format":"text","description_chars":2516,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Financial Services","Reinsurance"],"lifecycle":[{"event":"open","at":"2026-10-23T09:35:15Z"}],"visa":[],"liveness":{"score":81,"band":"hot","label":"Hiring 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