Sr. Data Scientist

Lincoln Financial Group; Radnor (Delaware County); Hybrid; USD 97,000 - 176,000; Full time

Job summary

Lincoln Financial Group is seeking a Data Scientist to join our AI Product & Delivery organization. You will generate insights from data, build models, design experiments, and measure business value from AI agents in a regulated financial services setting.

You will partner with product owners, engineers, and stakeholders to turn analysis into decisions and ensure robust guardrails. Hybrid work requires 3 days in an office.

Qualifications

• 3–8 years of experience in data science or related analytical role.
• Hands-on experience building and evaluating ML models; agentic AI systems preferred.
• Experience designing and analyzing experiments (A/B testing, causal inference).
• 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.

Responsibilities

• Analyze usage, performance, and outcomes to surface actionable insights on agentic AI features.
• Translate findings into clear recommendations for product, engineering, and business stakeholders.
• Build and maintain dashboards and reporting that track agent performance and business impact.
• Design, build, and validate models and agentic workflows.
• Evaluate model and agent architecture choices balancing accuracy, latency, and cost.
• Collaborate with engineering to productionize models and agents and monitor post-launch.
• Design and run experiments — A/B tests, offline evaluations, holdouts — to test agent behavior.

Skills

Data science experience

ML model development

Experiment design

Python, SQL, ML tooling

Communication of findings

Education

Bachelor's or Master's in a quantitative field

Tools

LangSmith

Weights & Biases

LLM APIs

Job description

Be Aware of Fraudulent Recruiting Activities

Lincoln values the privacy and security of every applicant and urges all applicants to diligently protect their sensitive personal information from scams targeting job seekers. These scams can take many forms including fake employment applications, bogus interviews and falsified offer letters.

Lincoln will not ask applicants to provide their social security numbers, date of birth, bank account information or other sensitive information in job applications. Additionally, our recruiters do not communicate with applicants through free e-mail accounts (Gmail, Yahoo, Hotmail) or conduct interviews utilizing video chat rooms. We will never ask applicants to provide payment during the hiring process or extend an offer without conducting a phone, live video or in-person interview. Please contact Lincoln's fraud team at [e-mail] if you encounter a recruiter or see a job opportunity that seems suspicious.

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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

Lincoln Financial Group is seeking a Data Scientist to join our AI Product & Delivery organization, focused on the agentic AI systems powering our next generation of products. You will generate insights from data, build and validate models, design experiments, and measure the business value AI agents deliver — while establishing rigorous evaluation frameworks that keep agentic systems accurate, safe, and reliable in a regulated financial services environment. You will partner closely with product owners, engineers, and business stakeholders to turn analysis into decisions and evals into guardrails.

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 (required):

• 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 (preferred)

• 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 August 31, 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$96,900 - $176,200with 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 ann