[Hiring] Senior Data Scientist/AI Analyst @Vantage Risk Companies

Role Description

At Vantage, the Senior Data Scientist/AI Analyst will play a critical role in developing analytical solutions to support our business partners. We welcome candidates with either a data science background with exposure to AI techniques and tools or an AI analyst background that combines strong data analysis skills with deep expertise in leveraging AI models and toolkits and/or building Agentic systems.

Data Scientists will leverage advanced statistical, modeling, and AI skills; AI Analysts will leverage strong data/business acumen, creative problem solving, and knowledge of AI and Agentic toolkits. In both cases, the individual will use their respective skillset to help our underwriting, actuarial, and operations partners better understand, quantify, and manage their risks differently, ultimately delivering high-quality, transparent, and business-aligned outcomes.

We are seeking a curious, creative, and self-motivated individual who is energized by using data and analytical techniques to solve challenging real-world problems. Vantage’s US colleagues have the flexibility to work anywhere in the United States (excluding US territories and possessions).

Responsibilities & Accountabilities

• Build sustainable solutions for our customers using data analysis, machine learning, and generative AI techniques.
• Perform cost-benefit analyses to determine the value of a project and assist in estimating the return on investment of deployed analytical and AI solutions.
• Identify new data sources—internal and external, structured and unstructured—and quantify their potential value as inputs to AI, ML, and analytical products.
• Partner with data engineers to build analytical and model training datasets and with ML ops engineers to operationalize solutions.
• Present solution results to the Data, Analytics, and Technology team, as well as business partners across the organization; translate technical work into business outcomes.
• Monitor and maintain solutions once deployed; identify opportunities to increase the impact of deployed solutions.
• Perform ad-hoc analyses as needed.
• Remain current on industry trends, tools, and techniques.
• Be a thought partner. Assist in driving or supporting the business problem solving process.

Qualifications

• Bachelor’s degree in a relevant field required; Master’s or Ph.D. in a STEM field is a plus but not required or equivalent professional experience.
• 5+ years of experience in a Data Science, Applied AI, or Applied R&D role.
• Hands-on experience building solutions with large language models; experience fine tuning or developing agentic systems a plus.
• Strong foundation in statistics, classical machine learning, and experimentation.
• Strong knowledge of Python and/or R; strong knowledge of SQL.
• Hands-on experience with version control systems such as git is a plus but not required.
• Ability to partner with engineers to operationalize assets in production.
• Ability to build analytical and AI-powered web applications via e.g. Streamlit, R Shiny, and/or PowerBI, etc.
• Insurance or financial services experience strongly preferred; however, we are open to strong generalists from other domains who can ramp on the industry.
• Ability to prioritize and balance speed of development with quality of work.
• Experience building end-to-end solutions.
• Ability to collaborate with fellow members of the Data, Analytics and Technology group and with our business partners.
• Strong project management skills, with emphasis on attention to details and meeting proposed timelines.
• Clear, concise communication skills with the ability to share complex information in a way that everyone can understand.
• Ability to build productive working relationships with stakeholders.
• Ability to process and adapt to change in a rapid growth company environment.

Benefits

• Base salary expectation for this role is between $135,000 and $170,000.
• Performance-based bonus potential.
• Strong health & welfare benefits.
• Retirement plans with company match.
• Competitive time off plans.
• A highly flexible work environment.
• Much more.

Our Vantage Values

• Do What’s Right – be a force for good, for our customers, shareholders, colleagues, industry and communities.
• Be Relentlessly Curious – ask questions, listen to understand, challenge the status quo, look for ways to say YES, drive innovation, be opportunistic and disciplined.
• We’re Better Together – collaborate, be inclusive, supportive, respectful and humble, be a trusted partner internally and externally.
• Be Transparent – in who you are, what you think, and how you work, seek and provide alternative points of view, be true to yourself.
• Make A Difference – focus on impact, embrace technology, leverage data and analytics as critical assets, act intentionally to deliver on our mission.