Senior Data Scientist, Machine Learning

Senior Data Scientist - AI/ML Solutions

A forward-thinking life insurance organization is undergoing a major transformation to become a modern, data-driven enterprise focused on improving the wellbeing of its customers and their families. This role offers a unique opportunity to apply advanced AI/ML techniques to drive innovation across the business and deliver meaningful impact.

The Data & AI team leads the charge in building a culture of intelligence and automation, creating business value through cutting-edge data science and machine learning solutions. The team includes data scientists, engineers, analysts, and product leaders working collaboratively to develop AI-powered products that enhance growth, risk management, and customer experience.

The organization is seeking a Senior Data Scientist - AI/ML Solutions, a highly skilled individual contributor with a strong foundation in production-ready AI/ML systems. This role involves leading use cases, developing predictive models, and collaborating across disciplines to bring scalable, high-impact solutions to life.

Responsibilities:

• Lead AI/ML use cases and mentor junior data scientists through the full lifecycle of solution development.
• Conduct data exploration, wrangling, and preparation to build robust modeling datasets.
• Apply advanced statistical and machine learning techniques to develop predictive models and analytical solutions.
• Perform data quality checks and ensure integrity throughout model development and deployment.
• Collaborate with data engineers and MLOps teams to package and deploy models into production environments.
• Innovate with new methodologies and propose creative approaches to solving business challenges.
• Partner with stakeholders across the organization to identify opportunities for data-driven solutions.
• Communicate insights and results through data visualization and presentations to key decision-makers.
• Maintain high standards of accuracy, consistency, and attention to detail in all work.
• Stay current on industry trends by attending conferences and contributing to internal best practices.

Qualifications:

• PhD with 2+ years or Master's with 4+ years of experience in Statistics, Computer Science, Engineering, Applied Mathematics, or a related field.
• 3+ years of hands-on experience in machine learning modeling and development.
• Strong understanding of statistical modeling and data analysis.
• Experience with a range of ML techniques including clustering, decision trees, boosting, and neural networks.
• Proven track record in experimental design and execution.
• Skilled in data wrangling, fuzzy matching, regular expressions, and distributed computing.
• Proficient in Python and familiar with scalable ML frameworks.
• Strong communication skills and ability to collaborate across product, engineering, and business teams.
• Excellent analytical and problem-solving skills with meticulous attention to detail.
• Demonstrated leadership in mentoring and guiding data science teams.