{"id":3068586,"url":"https://alion.io/job/axis-capital-lead-applied-scientist","title":"Lead Applied Scientist","company":{"id":1772214,"name":"AXIS Capital","domain":"axiscapital.com","url":"https://alion.io/company/axiscapital","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":43,"computed_at":"2026-10-27T05:46:45Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Halifax, Canada","London, United Kingdom"],"countries":["CA","GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":90000,"max_usd":179000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Databricks","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NumPy","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-07-28T00:00:00Z","employer_posted_date":"2026-07-28","last_verified_at":"2026-10-27T03:23:53Z","board_verified":true,"closed_at":null,"days_open":91,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":91},"description":"This is your opportunity to join AXIS Capital - a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture. As a member of AXIS, you join a team that is among the best in the industry.\nAt AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves. This means that we bring our whole selves to work.\nAll qualified applicants will receive consideration for employment without regard to any protected characteristic, including age, color, disability, ethnicity, gender identity, marital status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any basis prohibited by the laws that govern its operations.\nHow does this role contribute to our collective success?\nData and analytics are of critical importance for AXIS. We turn data into information so the business can make decisions with confidence, identify opportunities early, and operate more efficiently. The Lead Applied Scientist is the senior scientific authority in the Data Science and AI Delivery team and is responsible for the quality of the AI the team produces, much of which now uses large language models and agentic approaches. The role leads this work from the point a business problem is framed, through the choice of approach and the build itself, to how the resulting solution is evaluated, validated and monitored in production. Working alongside the engineering lead, it sets the scientific standards that give the business confidence in what the team delivers.\nWhat will you do in this role?\nYou will lead the team’s approach to solving business problems through advanced analytics and AI, guide how solutions are designed and built, and continue to contribute directly to technical work such as model development, experimentation, code review and solution architecture.\n\nYou will lead the design and development of the team’s AI and ML solutions, choosing the right approach for each problem, with large language models and agentic AI increasingly central to the work.\n\nYou will bring mathematical and statistical rigor to how problems are framed, how uncertainty is handled, and how the team judges whether a solution is good enough.\n\nYou will build and evaluate solutions to the most demanding problems the team takes on, review the work of others to keep standards high across the delivery scrums. and act as the point of escalation for difficult technical decisions.\n\nYou will hold sign-off on scientific approach and solution quality.\n\nIn this role you will be responsible for:\nLeading the design and development of the team’s AI/ML solutions, and framing business problems so that the right approach can be chosen and the result measured against clear success criteria.\n\nLeading the design of generative and agentic AI solutions, including prompting, retrieval augmented generation, tool use and multi-step agent workflows, and the techniques needed to make them accurate and reliable.\n\nSelecting the right approach for each problem, with large language models and agentic AI to the fore, and drawing on deep learning, machine learning and statistical methods where they are the better fit.\n\nOwning the evaluation and accuracy methodology for the team’s models, agents and AI systems, including the metrics, test sets and acceptance thresholds that govern performance, with proper treatment of uncertainty and statistical significance, and the monitoring needed to detect drift in production.\n\nLeading the team’s responsible AI work, including bias and fairness testing, explainability, and validation of model and agent behavior against regulatory expectations.\n\nSolving the team’s most challenging problems, such as extracting information from unstructured documents, automating expert workflows with agents, optimization, forecasting, and portfolio and claims analytics.\n\nOwning the scientific design decisions on each solution, including choice of approach, model and method selection, and evaluation strategy, while working closely with the engineering lead on architecture and deployment.\n\nWriting production quality code and building solutions directly, particularly on novel or higher risk work.\n\nSetting the experimentation, evaluation, coding and documentation standards for the team, and raising them through code review, pairing and technical mentoring.\n\nExplaining methods, results and trade-offs clearly to business stakeholders, model risk, and governance forums.\n\nWhat you need to have\nStrong, hands-on expertise with large language models and generative AI, including prompt engineering, retrieval augmented generation, fine tuning, and the design and evaluation of agentic systems that use tools and operate over multiple steps.\n\nStrong programming ability in Python and fluency with the modern AI and data science tooling, including frameworks for building with large language models alongside libraries such as pandas, NumPy and scikit-learn.\n\nStrong mathematical and statistical foundations, including probability, statistics, linear algebra and optimization, and the ability to reason rigorously about uncertainty, error and model behavior.\n\nA sound grounding in machine learning, including model validation and experimental design, applied where it is the right tool for the problem.\n\nDemonstrable experience designing evaluation and validation frameworks for AI systems, including methods for measuring the quality of large language model, retrieval augmented generation and agent outputs.\n\nA strong track record of building AI solutions that solve real business problems and of taking them from prototype to production.\n\nPractical experience with Databricks, MLflow and Spark based data processing.\n\nWorking knowledge of responsible AI methods, including bias and fairness testing, explainability techniques, and model risk.\n\nThe ability to explain complex technical concepts clearly to non-technical and senior audiences.\n\nA track record of setting technical standards and developing other scientists and engineers.\n\nWhat we prefer you to have\nExperience with agent frameworks and orchestration tools for building multi-step, tool-using AI systems.\n\nExperience in the insurance or reinsurance industry, with an understanding of underwriting, claims or actuarial data.\n\nA postgraduate qualification in a quantitative or computational subject such as computer science, statistics, mathematics or a related field.\n\nRole Level\nExpertise: A recognized specialist in applied AI, including large language models and agentic systems, underpinned by strong mathematical and statistical foundations, who sets the scientific approach for the team and advises the wider function. The role typically requires a degree in a mathematical, statistical or computational field, often at postgraduate level, together with substantial experience building and evaluating AI solutions in production.\n\nRelationship Management: Acts as a trusted technical advisor. Influences senior stakeholders and governance forums, represents the scientific view of the function, and develops other members of the team.\n\nComplexity and Strategic Impact: Sets the approach for new and ambiguous problems where no established method exists. The work is strategic, the planning horizon spans quarters, and the decisions affect the reliability and trustworthiness of the team’s models, agents and AI systems.\n\nAutonomy and Authority: Works with a high degree of independence and is the technical authority that others escalate to. Holds sign-off on scientific approach and solution quality.\n\nContribution: Sets best practice and standards for the design and evaluation of AI systems, including generative and agentic AI, responsible AI and overall solution quality, shapes how the team works, and drives improvements that raise the quality and confidence of the team’s AI work.\n\nRole Factors\nIn this role, you will typically be required to:\nAttend your local office at least three (3) days per week to meet and build relationships with colleagues and the wider business.\n\nEngage in company activities to grow your network and build a strong team culture.\n\nFor this position, we currently expect to offer a base salary in the range of $110,000 - $130,000 CAD (Halifax, Nova Scotia); $175,000 - $200,000 USD (New York, NY) Your salary offer will be based on an assessment of a variety of factors including your specific experience and work location.\nIn addition, you will be offered competitive target incentive compensation, with awards based on overall corporate and individual performance. On top of this, you will be eligible for a comprehensive and competitive benefits package which includes medical plans for you and your family, health and wellness programs, retirement plans, tuition reimbursement, paid vacation, and much more.\nWhere this role is based in the United States of America, this role is Exempt for FLSA purposes.\nThis posting is for an existing vacancy.","description_format":"text","description_chars":9273,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Retirement plans","Wellness"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Property & Casualty Insurance","Reinsurance"],"lifecycle":[{"event":"open","at":"2026-10-22T08:44:19Z"}],"visa":[],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.653,"p_room":0.28,"age_days":91,"expected_fill_days":43,"reasons":["conf:2","velocity","win:tail","crowd:"],"computed_at":"2026-10-27T05:46:45Z"},"pay":null,"html_url":"https://alion.io/job/axis-capital-lead-applied-scientist","json_url":"https://alion.io/job/axis-capital-lead-applied-scientist.json","meta":{"generated_at":"2026-10-27T09:36:02Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":10749,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1772214},"rest":"https://alion.io/mcp/rest/get_company?id=1772214"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Faxis-capital-lead-applied-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Faxis-capital-lead-applied-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Faxis-capital-lead-applied-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/axis-capital-lead-applied-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Faxis-capital-lead-applied-scientist"}]}