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Burtch Works · 10 hours ago

Data Scientist, AI Studio

New York, NY

Full-time

Onsite

Entry, Mid Level

$130K/yr - $160K/yr

2+ years exp

Burtch Works is on a transformation journey to evolve into a modern insurance company focused on enhancing customer wellbeing. They are seeking a Data Scientist for their AI team to build, deploy, and scale machine learning models that improve operations and customer experiences.

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Responsibilities

Design and implement machine learning solutions: Automate business workflows, improve decision-making, and enhance customer and employee experiences through ML-driven solutions

Apply ML techniques to business data: Use regression, classification, clustering, ensemble methods (Random Forest, XGBoost) on structured and semi-structured data such as claims, underwriting notes, and customer records

Develop production-ready ML models: Build robust, scalable models that integrate with our platforms to deliver measurable business outcomes

Collaborate with technical teams: Partner with data engineers and MLOps teams to ensure models are scalable, robust, and production-ready

Translate research into practical applications: Apply machine learning and statistical modeling to underwriting, claims automation, customer servicing, and risk assessment

Work with cross-functional stakeholders: Partner with product owners, engineers, and business stakeholders to define use cases, design solutions, and measure impact

Build reusable ML frameworks: Contribute to developing components and frameworks for ML solution development and deployment

Maintain model governance: Adhere to documentation, testing, and best practices in partnership with key stakeholders

Qualification

Machine LearningPythonStatistical ModelingData EngineeringGit/GitHubProblem-SolvingCommunicationCollaboration

Required

Education: PhD with 0–1 years of experience, Master's degree with 2+ years, or Bachelor's degree with 4+ years in Statistics, Computer Science, Engineering, Applied Mathematics, or related field

Experience: 2+ years of hands-on experience in ML modeling and development

Skills: Solid understanding of probability, statistics, and machine learning fundamentals

Skills: Strong programming skills in Python and familiarity with frameworks like scikit-learn, pandas, and numpy

Skills: Experience with machine learning techniques (regression, classification, clustering, ensemble methods) and their real-world advantages/drawbacks

Skills: Excellent problem-solving and analytical skills with attention to detail

Skills: Strong communication skills and ability to collaborate effectively with product and engineering teams

Skills: Working knowledge of core software engineering concepts (version control with Git/GitHub, testing, logging)

Other: Passionate about applying machine learning to solve real-world business challenges; curious about new ML techniques; hands-on builder who enjoys moving solutions from prototype to deployment; comfortable collaborating in cross-functional teams and aligning technical solutions with business goals