Partner company in the benefits and protection insurance sector, an established financial services organization.
Responsibilities
Lead, mentor, and develop a team of data scientists specializing in generative AI, machine learning, predictive modeling, and quantitative analytics.
Define the team's technical strategy, evaluating emerging AI models, machine learning technologies, tools, and methodologies.
Guide projects throughout the full lifecycle, from problem definition and model design to validation, deployment, monitoring, and continuous improvement.
Oversee the development of custom AI and data science solutions using structured and unstructured data, APIs, custom prompts and models, and application integrations.
Partner with Product Management, Engineering, IT, business operations, and senior leadership to translate technical capabilities into business outcomes.
Establish standards and performance measures for model accuracy, production readiness, scalability, adoption, and sustained business impact.
Strengthen team effectiveness and foster a culture of accountability, collaboration, and continuous development.
Promote a practical, results-oriented approach to data science.
Encourage experimentation and ongoing evaluation of emerging technologies.
Requirements
Bachelor's degree.
At least 10 years of professional experience developing machine learning and predictive models.
Expertise in statistics, mathematics, machine learning, optimization, model development, operationalization, scalability, and analysis of large structured and unstructured datasets.
Formal people management experience.
Experience with modern programming languages, machine learning libraries, big-data technologies, and cloud platforms.
Strong technical judgment and ability to assess emerging AI and machine learning technologies.
Strong leadership, communication, and influencing skills.
Authorization to work in the United States without sponsorship.
Conditions
Annual base salary: $165,000–$210,000 USD.
Eligibility to participate in a bonus program for non-sales positions.
Flexible Time Off (FTO) for eligible salaried employees.
Pension eligibility.
Comprehensive employee benefits.
Flexible work arrangements, including in-office, hybrid, and remote options.