Lead Data Scientist

Lincoln Financial Group; Radnor, Northern (Delaware County, KY); Hybrid; USD 120,000 - 193,000; Full time

Job summary

Lincoln Financial Group is seeking a data science professional to analyze usage and impact of agentic AI features. You will build dashboards, design experiments, and translate results into actionable guidance for product, engineering, and business teams.

Ideal candidates have 3–8 years in data science or ML, strong Python and SQL skills, and the ability to communicate complex findings clearly. Hybrid work 3 days/week in a Lincoln office; relocation assistance not available.

Qualifications

• 3–8 years of experience in data science, ML, or related analytics.
• Hands-on ML model building and evaluation, with agentic AI experience preferred.
• Experience designing and analyzing experiments (A/B testing or causal inference).
• Proficient in Python, SQL, and ML/data science tooling.
• Ability to communicate complex findings to non-technical stakeholders.
• Bachelor's or Master's in Data Science, Statistics, CS, or related field.
• Grade level determined by experience.

Responsibilities

• Analyze usage, performance, and outcomes of agentic AI features to surface insights.
• Translate findings into actionable recommendations for product, engineering, and business.
• Build and maintain dashboards and reporting on agent performance and impact.
• Design, build, and validate models and agentic workflows.
• Evaluate architecture choices balancing accuracy, latency, cost, and risk.
• Collaborate with engineering to productionize models and monitor post-launch.
• Design and run experiments (A/B tests, offline evaluations, holdouts).
• Define hypotheses and success metrics; determine sample size and power.
• Interpret results and translate to go/no-go decisions.
• Define metrics linking AI features to business value; report ROI to leadership.

Skills

Data science

ML models

Agentic AI

Experiment design

Python

SQL

Communication

Education

Bachelor's or Master's in Data Science or related field

Tools

Python

SQL

ML tooling

Job description

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Alternate Locations: Radnor, PA (Pennsylvania); Greensboro, NC (North Carolina)

Work Arrangement:

Hybrid : Employee will work 3 days a week in a Lincoln office

Relocation assistance:is not available for this opportunity.

Requisition #:76402

The Role at a Glance

What you'll be doing

Insights & Analysis

• Analyze usage, performance, and outcome data to surface actionable insights on how agentic AI features are used and where they fall short.
• Translate findings into clear, actionable recommendations for product, engineering, and business stakeholders.
• Build and maintain dashboards and reporting that track agent performance and business impact.

Modeling & Agentic AI Systems

• Design, build, and validate models and agentic workflows.
• Evaluate model and agent architecture choices, balancing accuracy, latency, cost, and risk.
• Collaborate with engineering to productionize models and agents and monitor them post-launch.
• Design and run experiments — A/B tests, offline evaluations, holdouts — to test agent behavior, prompt or model changes, and feature variants.
• Define hypotheses, success metrics, and sample size or power requirements; ensure statistical rigor.
• Interpret results and translate them into clear go/no-go recommendations.

Value Measurement

• Define and track metrics that connect agentic AI features to business value — efficiency gains, cost savings, revenue, and customer or employee experience.
• Build measurement frameworks that isolate AI-driven impact from other contributing factors.
• Report on ROI and value realization to product and business leadership.

Evaluations (Evals) for Agentic AI

• Design and maintain eval suites and benchmarks covering task success, reasoning quality, tool-use correctness, safety, and failure modes.
• Build regression frameworks and test case libraries to catch performance degradation across model or prompt updates.
• Partner with product owners on human-in-the-loop review processes and use eval findings to guide model and agent improvements.

What we’re looking for

Must haves:

• 3–8 years of experience in data science, applied machine learning, or a related analytical role.
• Hands-on experience building and evaluating ML models; experience with agentic AI systems (LLM agents, tool use, multi-step reasoning) strongly preferred.
• Experience designing and analyzing experiments (A/B testing, causal inference, or similar).
• Proficiency in Python, SQL, and standard ML/data science tooling.
• Strong ability to communicate technical findings to non-technical stakeholders.
• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
• Grade level:final grade level for this position will be determined based on the selected candidate's experience.

Nice to haves:

• Experience building or evaluating LLM-based agents or multi-agent systems.
• Familiarity with eval frameworks and observability tools (e.g., LangSmith, Weights & Biases, Ragas).
• Experience with LLM APIs or enterprise AI platforms (e.g., Azure OpenAI, AWS Bedrock, Anthropic Claude, Google Vertex AI).
• Advanced degree (Master's or Ph.D.) in a quantitative field.
• Domain experience in life insurance, annuities, retirement planning, or employee benefits.

Application Deadline

Applications for this position will be accepted through September 30, 2026, subject to earlier closure due to applicant volume.

What’s it like to work here?

At Lincoln Financial, we love what we do. We make meaningful contributions each and every day to empower our customers to take charge of their lives. Working alongside dedicated and talented colleagues, we build fulfilling careers and stronger communities through a company that values our unique perspectives, insights and contributions and invests in programs that empower each of us to take charge of our own future.

What’s in it for you:

Clearly defined career tracks and job levels, along with associated behaviors for each of Lincoln's core values andleadership attributes

Leadership development and virtual training opportunities

Free financial counseling, health coaching and employee assistance program

Tuition assistance program

Work arrangements that work for you

Effective productivity/technology tools and training

The pay range for this position is$120,375 - $192,600with anticipated pay for new hires between the minimum and midpoint of the range and could vary above and below the listed range as permitted by applicable law. Pay is based on non-discriminatory factors including but not limited to work experience, education, location, licensure requirements, proficiency and qualifications required for the role. The base pay is just one component of Lincoln’s total rewards package for employees. In addition, the role may be eligible for the Annual Incentive Program, which is discretionary and based on the performance of the company, business unit and individual. Other rewards may include long-term incentives, sales incentives and Lincoln’s standard benefits package.

About The Company

Lincoln Financial (NYSE: LNC) helps people to confidently plan for their version of a successful future. We focus on identifying a clear path to financial security, with products including annuities, life insurance, group protection, and retirement plan services.

With our 120-year track record of expertise and integrity, millions of customers trust our solutions and service to help put their goals in reach.

Lincoln Financial Distributors, a broker-dealer, is the wholesale distribution organization of Lincoln Financial. Lincoln Financial is the marketing name for Lincoln Financial Corporation and its affiliates including The Lincoln National Life Insurance Company, Fort Wayne, IN, and Lincoln Life & Annuity Company of New York, Syracuse, NY. Lincoln Financial affiliates, their distributors, and their respective employees, representatives and/or insurance agents do not provide tax, accounting or legal advice.

Lincoln is committed to creating an inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Additional Information

This position may be subject to Lincoln’s Political Contribution Policy. An offer of employment may be contingent upon disclosing to Lincoln the details of certain political contributions. Lincoln may decline to extend an offer or terminate employment for this role if it determines political contributions made could have an adverse impact on Lincoln’s current or future business interests, misrepresentations were made, or for failure to fully disclose applicable political contributions and or fundraising activities.

Any unsolicited resumes or candidate profiles submitted through our web site or to personal e-mail accounts of employees of Lincoln Financial are considered property of Lincoln Financial and are not subject to payment of agency fees.

Lincoln Financial (“Lincoln” or “the Company”) is an Equal Opportunity employer and, as such, is committed in policy and practice to recruit, hire, compensate, train and promote, in all job classifications, without regard to race, color, religion, sex, age, national origin or disability. Opportunities throughout Lincoln are available to employees and applicants are evaluated on the basis of job qualifications. If you are a person with a disability that impedes your ability to express your interest for a position through our online application process, or require TTY/TDD assistance, contact us by calling [phone].

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