Lead Data Scientist
HaystackAbout the role
A world-leading actuarial science and technology consultancy creates and deploys category-defining, data-driven software-as-a-service (SaaS) products for a broad spectrum of insurance, health IT, and life sciences clients. They offer an entrepreneurial and collaborative culture that values innovation, excellence, and transparency, ensuring employees have a voice and room for career growth.
The Role
Research, develop, deploy, and maintain traditional AI/ML models following industry best practices
Work extensively with available GenAI models, constructing solutions for internal and external use cases
Coordinate with Product, Business Development, ML Engineering, and IT to bring new data science products to market
Drive best practices and continuous improvement on the data science team, influencing model design and experimentation strategy
Build upon data science, machine learning, and GenAI/NLP expertise to enhance existing products through new solutions
Construct, validate, document, and deliver sophisticated GenAI and machine learning solutions for healthcare problems
What You'll Need
10+ years of professional experience using AI/ML to create high ROI commercial data science solutions
Expertise with Electronic Health Records or unstructured data analysis
Expert data scientist with demonstrable capability building traditional AI/ML models (e.g., supervised/unsupervised learning, deep learning, NLP)
Expert understanding of NLP and generative AI, with hands-on experience building GenAI applications
Expert level Python programmer, with experience in R and/or SQL
Expert user of Databricks or similar cloud-based model development ecosystems
Sufficient understanding of software engineering best practices (Git, unit testing, local development)
Degree in a relevant field (computer science, data science, statistics, mathematics, actuarial science, economics)
What's On Offer
Entrepreneurial and collaborative culture with a focus on innovation and work-life balance
Competitive compensation and benefits
Opportunities for skills training, career development, and mentoring
Employee Resource Groups (ERGs) and commitment to diversity and inclusion
Apply via Haystack today!
Responsibilities
- Research, develop, deploy, and maintain traditional AI/ML models
- Work extensively with available GenAI models for internal and external use cases
- Coordinate with Product, Business Development, ML Engineering, and IT
- Drive best practices and continuous improvement on the data science team
- Build upon data science, machine learning, and GenAI/NLP expertise
- Construct, validate, document, and deliver sophisticated GenAI and machine learning solutions
Qualifications
- 10+ years of professional experience using AI/ML
- Expertise with Electronic Health Records or unstructured data analysis
- Expert data scientist with capability in traditional AI/ML models
- Expert understanding of NLP and generative AI
- Expert level Python programmer, with experience in R and/or SQL
- Expert user of Databricks or similar cloud-based model development ecosystems
- Sufficient understanding of software engineering best practices
- Degree in a relevant field
Benefits
- Entrepreneurial and collaborative culture
- Competitive compensation and benefits
- Opportunities for skills training and career development
- Employee Resource Groups (ERGs) and commitment to diversity and inclusion
Skills mentioned
About Haystack
Haystack combines AI & expert vetting to deliver world-class tech candidates who are engaged, aligned, and ready to interview. We're trusted by over 400,000+ tech candidates, working in Software Engineering, Data, Design, DevOps, Cloud, Tech Management, Testing, Product & Delivery, Architecture and more. 100s of employers from startups and scale-ups like Atom Bank, DuckDuckGo and Goodlord to established enterprises like American Express, Dunelm and AWS use Haystack to connect with qualified tech talent that they can't find anywhere else.