Associate - Data Scientist
$81k - $115.5kNew York Life
Location Designation: Hybrid - 3 days per week
As part of the Artificial Intelligence & Data (AI&D) organization, you will contribute to New York Life's digital transformation by developing and deploying AI and machine learning solutions that enhance efficiency and improve client, agent, and employee experiences. This role supports the development of AI solutions spanning traditional Machine Learning, Generative AI, and Agentic AI. The focus is on building core technical skills, learning enterprise AI practices, and delivering well-defined components of AI solutions. You will collaborate closely with Data Scientists, Engineers, and product and technology partners while developing an understanding of model lifecycle management, responsible AI principles, and New York Life's technology ecosystem. What You'll Do:
• Execute AI and machine learning initiatives in partnership with data, technology, product, and business teams.
• Contribute to the end-to-end model lifecycle, including data exploration, feature development, model training and validation, deployment, monitoring, and iteration.
• Develop and help operationalize models using AWS services such as SageMaker and Bedrock, along with modern data platforms including Snowflake and Databricks, ensuring quality, security, and scalability.
• Partner with machine learning engineers to support large-scale production deployment and solution scaling.
• Assist in designing and evaluating agentic and AI-powered solutions that automate routine business tasks with human-in-the-loop checkpoints, escalation thresholds, and safety guardrails.
• Support the implementation and refinement of LLM and RAG approaches, including vector stores, embeddings, retrieval optimization, and prompt orchestration, with evaluation for reliability and performance.
• Build lightweight UI prototypes (e.g., Streamlit) to validate usability and support user adoption.
• Adhere to model governance, documentation, testing, and CI/CD best practices in collaboration with MLOps teams. What You'll Bring:
• Advanced degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Engineering, Mathematics, Statistics, or a related quantitative field.
• 1-3 years of experience working with data, analytics, machine learning, or AI solutions.
• Foundational knowledge of machine learning concepts, statistics, and data analysis techniques.
• Foundational understanding of Generative AI concepts, including large language models and prompt engineering.
• Proficiency in Python and SQL, with working knowledge of core software engineering concepts such as version control using Git or GitHub.
• Strong communication skills and a collaborative, team-oriented mindset.
• Curiosity, a growth mindset, and a strong interest in building a career in AI and Data Science.
• Experience in the life insurance industry or consumer finance domains is a plus. Pay Transparency Salary Range: $81,000-$115,500
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program. Company Overview At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities-inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you'll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what's next, and your growth powers it.
Our Benefits We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.Click hereto discover more about our comprehensive benefit options or visit our NYL Benefits Site. Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life's leadership in this space. Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities. Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs. Job Requisition ID: 93360 About NY Life Insurance Company Diversity & Humanity-two values that are deeply rooted in the New York Life culture and have laid the foundation for over 175 years of commitment to our employees, agents, policy owners, and the communities where we live and work. At New York Life you become a valued part of a welcoming, inclusive, and caring culture that has a long-standing legacy in stability and growth. The strength of New York Life revolves around our diversified, multi-dimensional business portfolio that goes beyond life insurance, and we want you to be a part of our legacy. As a Fortune 100 company and industry leader, we provide an environment where you can explore your career ambitions, offering opportunities to tackle meaningful challenges and stretch your skills while balancing work and life priorities. You will be part of a diverse team guided by our belief to always be there for each other-providing the support and flexibility to grow and reach new heights while making an impact in the lives of others. You are our future, and we commit to investing in you accordingly. Visit our Linkedin to see how our employees and agents are leading the industry and impacting communities. Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs. Required Legal Notices - All Candidates Please Click Here
As part of the Artificial Intelligence & Data (AI&D) organization, you will contribute to New York Life's digital transformation by developing and deploying AI and machine learning solutions that enhance efficiency and improve client, agent, and employee experiences. This role supports the development of AI solutions spanning traditional Machine Learning, Generative AI, and Agentic AI. The focus is on building core technical skills, learning enterprise AI practices, and delivering well-defined components of AI solutions. You will collaborate closely with Data Scientists, Engineers, and product and technology partners while developing an understanding of model lifecycle management, responsible AI principles, and New York Life's technology ecosystem. What You'll Do:
• Execute AI and machine learning initiatives in partnership with data, technology, product, and business teams.
• Contribute to the end-to-end model lifecycle, including data exploration, feature development, model training and validation, deployment, monitoring, and iteration.
• Develop and help operationalize models using AWS services such as SageMaker and Bedrock, along with modern data platforms including Snowflake and Databricks, ensuring quality, security, and scalability.
• Partner with machine learning engineers to support large-scale production deployment and solution scaling.
• Assist in designing and evaluating agentic and AI-powered solutions that automate routine business tasks with human-in-the-loop checkpoints, escalation thresholds, and safety guardrails.
• Support the implementation and refinement of LLM and RAG approaches, including vector stores, embeddings, retrieval optimization, and prompt orchestration, with evaluation for reliability and performance.
• Build lightweight UI prototypes (e.g., Streamlit) to validate usability and support user adoption.
• Adhere to model governance, documentation, testing, and CI/CD best practices in collaboration with MLOps teams. What You'll Bring:
• Advanced degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Engineering, Mathematics, Statistics, or a related quantitative field.
• 1-3 years of experience working with data, analytics, machine learning, or AI solutions.
• Foundational knowledge of machine learning concepts, statistics, and data analysis techniques.
• Foundational understanding of Generative AI concepts, including large language models and prompt engineering.
• Proficiency in Python and SQL, with working knowledge of core software engineering concepts such as version control using Git or GitHub.
• Strong communication skills and a collaborative, team-oriented mindset.
• Curiosity, a growth mindset, and a strong interest in building a career in AI and Data Science.
• Experience in the life insurance industry or consumer finance domains is a plus. Pay Transparency Salary Range: $81,000-$115,500
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program. Company Overview At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities-inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you'll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what's next, and your growth powers it.
Our Benefits We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.Click hereto discover more about our comprehensive benefit options or visit our NYL Benefits Site. Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life's leadership in this space. Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities. Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs. Job Requisition ID: 93360 About NY Life Insurance Company Diversity & Humanity-two values that are deeply rooted in the New York Life culture and have laid the foundation for over 175 years of commitment to our employees, agents, policy owners, and the communities where we live and work. At New York Life you become a valued part of a welcoming, inclusive, and caring culture that has a long-standing legacy in stability and growth. The strength of New York Life revolves around our diversified, multi-dimensional business portfolio that goes beyond life insurance, and we want you to be a part of our legacy. As a Fortune 100 company and industry leader, we provide an environment where you can explore your career ambitions, offering opportunities to tackle meaningful challenges and stretch your skills while balancing work and life priorities. You will be part of a diverse team guided by our belief to always be there for each other-providing the support and flexibility to grow and reach new heights while making an impact in the lives of others. You are our future, and we commit to investing in you accordingly. Visit our Linkedin to see how our employees and agents are leading the industry and impacting communities. Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs. Required Legal Notices - All Candidates Please Click Here
Vacancy posted 3 days ago
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