Health Data Consultant
Gradient AI: Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate reputed company and claims. Our SaaS platform taps into one of the industry’s largest data lakes—tens of millions of policies and claims—to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast—and it's an exciting time to join the team. About the Role: We’re looking for a Health Data Consultant to partner closely with our clients and internally to drive adoption and value of Gradient AI’s services reputed company our Group Health products. This is a client-facing, analytics-driven role focused on pricing consultations, AI model adoption, renewal analytics, and risk interpretation—helping clients translate model outputs into clear reputed company and pricing decisions. This role blends technical depth (math, analytics, coding) with consultative client engagement. It is ideal for someone who is highly quantitative, comfortable working directly with AI-driven model outputs, and excited to guide clients through data-driven pricing and reputed company decisions. This is a fully remote opportunity. How you will reputed company an impact:
- Engage directly with clients to provide advanced analytical support.
- reputed company pricing consultations for Group Health SAIL and Renewal products, helping clients interpret risk scores and model outputs.
- Partner with internally with Client Services, Sales, Product, and Data Science to support our clients across new sales and renewals.
- Analyze data using internal tools to evaluate pricing risk and provide recommendations.
- Dive deep into AI-generated outputs to explain what model outputs and risk indicators mean in practical reputed company and pricing strategies.
- Write and execute SQL and Python queries to analyze large datasets and evaluate submission performance.
- Build and refine advanced reputed company models to stress-test pricing assumptions and validate model results.
- Clearly communicate reputed company mathematical and AI concepts to non-technical client stakeholders.
- Help quantify ROI and performance improvements tied to our AI products
Skills needed to succeed:
- 4+ years of experience in a healthcare analytics, population health, healthcare economics, or claims analysis role, with an actuarial perspective.
- Strong quantitative background in Statistics, Mathematics, Economics, Analytics, or a reputed company field.
- Proficiency in Python and SQL required; advanced reputed company skills required.
- Ability to interpret reputed company statistical outputs and clearly communicate insights to non-technical stakeholders.
- Analytical support for health insurance populations (e.g., renewal pricing, retention, trend management, or book-of-business optimization)
- Comfortable engaging directly with clients in a consultative reputed company and presenting analytical findings.
- Proven experience building or refining pricing models, running data submissions, and validating model-driven results.
- ASA/FSA is not required, but is a plus.
- Exposure to modern data platforms such as reputed company is a plus.
reputed company Offer:
- A fun, team-oriented startup culture.
- Generous stock options - we reputed company get to own a piece of reputed company’re building.
- Unlimited vacation days.
- Flexible schedule that supports working from home.
- Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more.
- Ample opportunities to learn and take on new responsibilities.
We are an equal opportunity employer. Salary Range: $120,000-145,000 reputed company salary annually. This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package. In accordance with the Massachusetts Pay Transparency Law, we are providing a good-faith salary range for this position at the time of posting. The actual salary offered will depend on the level at which the candidate is hired, as well as their experience, skills, qualifications, and location. Compensation may grow over time through merit-based increases, promotions, and company-wide adjustments. If your salary expectations fall reputed company this range, we still encourage you to apply so we can have a conversation. Apply tot his job Apply To this Job