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Our client, an AI-driven Healthcare company, are hiring a Head of AI Research to join their team in San Francisco. The successful candidate will work on building high-impact, complex AI systems across clinical intelligence, outcome modelling and advanced learning frameworks.


Responsibilities

• Build systems that process and analyse recorded therapy sessions, clinical notes and patient data.

• Develop models to predict and interpret clinical outcomes.

• Deliver AI-driven insights to clinicians to support better decision-making and improve care quality.

• Scale high-quality therapeutic outcomes beyond the constraints of current manual clinical workflows.

• Design and prototype advanced AI research directions alongside core product development.

• Contribute to exploratory research on long-term AI directions.

Skillset

• Exceptional expertise in deep learning and machine learning systems.

• Demonstrated ability to build, scale, or significantly advance complex AI systems.

• Strong research intuition combined with practical product sense.

• Experience leading or making major contributions within high-performing AI teams.

• Comfort operating in high-ambiguity, high-ownership environments.

• Experience applying machine learning in real-world, high-stakes domains.

• Experience in healthcare AI or working with clinical data systems is a plus.

• Background in large-scale sequence modelling or foundation models is a bonus.

Benefits

• Salary: $250k.

• Equity.

Our client, a leading insurance company, are hiring a Senior Data Scientist with skills in Agentic AI to join their Data & AI team in New York. The successful candidate will lead the development and deployment of agentic AI systems, large language models and intelligent automation solutions to enhance business operations and elevate customer experiences.


Responsibilities

• Design and implement agentic AI solutions to automate complex workflows, enhance decision-making, and improve both customer and employee experiences.

• Operationalise large language models (LLMs) and generative AI to process and interpret unstructured data, including contracts, claims, medical records and customer interactions.

• Develop autonomous agents and multi-step reasoning systems that integrate seamlessly with core business platforms.

• Collaborate with Data Engineering and AIOps teams to deliver scalable, production-ready AI solutions.

• Apply research in agentic AI, reinforcement learning and reasoning systems to practical use cases across underwriting, claims and risk assessment.

• Work closely with product, engineering and business stakeholders to define use cases and evaluate return on investment.

• Contribute to the Data Science Lab by developing reusable frameworks and promoting best practices.

• Mentor junior data scientists and support the standardisation of AI/ML tools, practices and frameworks.

Skillset

• PhD or Masters Degree in Statistics, Computer Science, Engineering, Applied Mathematics or similar.

• Minimum of 3 years of hands-on experience in AI/ML modelling and development.

• Strong grounding in probability and statistical methods.

• Proficient in Python, with experience using frameworks such as PyTorch, TensorFlow and LangGraph.

• Solid knowledge of machine learning algorithms, optimization techniques and statistical modelling approaches.

• Effective communicator with the ability to collaborate across both technical and business teams.

• Excellent analytical and problem-solving skills, with a high level of attention to detail.

• Proven experience mentoring others and contributing to technical leadership.

Benefits

• Salary: $120k - $195k DOE.

• Comprehensive benefits package.

Our client, a leading insurance company, are hiring a Senior Data Scientist to join their AI Studio Team in New York. The successful candidate will develop and implement production-ready AI/ML solutions that drive enterprise-wide decision-making, transforming complex data into actionable insights and scalable outcomes.


Responsibilities

• Lead data science initiatives and mentor junior team members.

• Manage projects end-to-end, from data exploration and design through to modelling and delivery.

• Conduct data wrangling, matching and ETL across a wide range of data sources.

• Develop and deploy high-performing predictive models using advanced machine learning and AI techniques.

• Collaborate with Data Engineering and MLOps teams to productionize solutions.

• Ensure data quality, integrity and robustness throughout both development and deployment.

• Apply innovative statistical and mathematical approaches to solve complex business challenges.

• Communicate insights effectively through clear data visualizations and presentations.

• Work closely with stakeholders to identify and deliver data-driven opportunities.

• Contribute to the development of best practices, tools and standards within the data science function.

Skillset

• PhD or Master's degree in Statistics, Computer Science, Engineering, Applied Mathematics or equivalent.

• At least 4 years of hands-on experience in machine learning development.

• A strong foundation in statistical modelling and data analysis.

• Experience with a range of machine learning techniques, including clustering, decision trees, boosting and neural networks.

• A proven track record in experimental design and execution.

• Expertise in data wrangling, including techniques such as fuzzy matching and regular expressions, as well as experience with distributed computing.

• Advanced programming skills in Python.

• A solid understanding of algorithms and machine learning model development.

• Excellent communication skills, with a strong attention to detail and well-developed problem-solving abilities.

• Experience mentoring or leading other data scientists.

Benefits

• Salary: $120k - $195k DOE.

• Comprehensive benefits package.