Lead Data Science and AI

Security Benefit Business Services / Everly Life • Topeka, KS

113d

About The Position

As a Lead Data Science and AI, you’ll be an integral part of a collaborative and agile team. The Lead Data Science and AI position reports to the 2nd VP, Co-Head of Derivatives. We work a hybrid schedule, offering flexibility to work both remotely and on-site. Lead the development and implementation of machine learning and AI models to solve complex business problems across trading, risk, operations. Collaborate with data engineering, product, and business teams to identify opportunities, scope projects, and deliver end-to-end solutions. Design and build scalable predictive and generative models using structured and unstructured data (e.g., pricing, transactions, documents, market data, NLP). Develop model monitoring, explainability, and governance frameworks in compliance with internal standards and regulatory requirements. Stay up-to-date on emerging AI technologies, tools, and best practices; evaluate and prototype new approaches including LLMs, reinforcement learning, and deep learning. Communicate insights, models, and strategy clearly to both technical and non-technical stakeholders. Contribute to the overall data science roadmap and help shape the organization’s AI vision.

Requirements

• Bachelor’s in computer science, Statistics, Mathematics, Data Science, or a related quantitative field.
• 5+ years of experience in applied data science, machine learning, or AI roles; ideally within financial services, fintech, or a data-intensive industry.
• Proven experience leading AI/ML projects from ideation to production deployment.
• Expertise in Python and ML frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).
• Expertise in AI Tools and Development tech stack.
• Knowledge in AI SDLC and ML Ops platforms.
• Strong knowledge of statistics, optimization, and algorithmic design.
• Familiarity with LLMs and generative AI concepts, tools, and applications.
• Strong communication, collaboration, and project management skills.

Nice To Haves

• Experience in capital markets, derivatives, asset management, or insurance.

Responsibilities

• Lead the development and implementation of machine learning and AI models to solve complex business problems across trading, risk, operations.
• Collaborate with data engineering, product, and business teams to identify opportunities, scope projects, and deliver end-to-end solutions.
• Design and build scalable predictive and generative models using structured and unstructured data (e.g., pricing, transactions, documents, market data, NLP).
• Develop model monitoring, explainability, and governance frameworks in compliance with internal standards and regulatory requirements.
• Stay up-to-date on emerging AI technologies, tools, and best practices; evaluate and prototype new approaches including LLMs, reinforcement learning, and deep learning.
• Communicate insights, models, and strategy clearly to both technical and non-technical stakeholders.
• Contribute to the overall data science roadmap and help shape the organization’s AI vision.

Benefits

• Competitive salary and annual incentive bonuses to reward your contributions.
• 33 days of paid time off (including PTO, holidays, Volunteer Day, and days of significance).
• Paid parental leave after 90 days of service.
• Comprehensive medical, dental & vision insurance.
• 401(k) with company match, plus Profit Sharing & Savings Plan.
• Short- and Long-Term Disability Insurance to give you peace of mind.
• Flexible Spending Accounts for medical and dependent care.
• Life Insurance to protect your loved ones.
• Educational assistance to support your career development.
• Associate assistance programs for your personal and professional well-being.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 501-1,000 employees