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Contract Data Scientist Risk Jobs in Pennsylvania

Evaluate model and agent architecture choices, balancing accuracy, latency, cost, and risk ... Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.

Evaluate model and agent architecture choices, balancing accuracy, latency, cost, and risk ... Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.

... Contract Research Organisation services. It is one of the market leaders in certain testing and ... THIS IS NOT A DATA SCIENCE POSITION* Employee Responsibilities: * Ensure that the client receives ...

This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ... Conduct scenario analysis, what-if studies, optimization, and risk analysis. * Interpret simulation ...

This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ... Conduct scenario analysis, what-if studies, optimization, and risk analysis. * Interpret simulation ...

This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ... Conduct scenario analysis, what-if studies, optimization, and risk analysis. * Interpret simulation ...

We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed ... D. in Computer Science, Machine Learning, Natural Language Processing, Statistics, or a related ...

$165 - $220/hr

Build predictive models of health outcomes by integrating genomic data with high‑dimensional ... Work in close collaboration with product, engineering, and clinical teams to deploy risk models in ...

Senior Manager, Data Science

Calumet, PA · On-site

$210K - $230K/yr

... a data scientist or machine learning engineer Strong Python, modeling and production data ... crime, risk, blockchain or another data-intensive environment would be beneficial but isn't ...

Showing results 41-60

Contract Data Scientist Risk information

What is a contract data scientist risk?

Contract Data Scientist Risk jobs involve analyzing large datasets to identify, assess, and model risks within an organization on a contract or temporary basis. These professionals use statistical techniques, machine learning, and data visualization to help companies make informed decisions about risk management. Their work often focuses on financial, operational, or compliance risks, and they typically collaborate with risk managers and other stakeholders. Contract roles offer flexibility and are often project-based, allowing companies to access specialized expertise when needed.

How does a contract data scientist risk typically collaborate with cross-functional teams within an organization?

As a Contract Data Scientist focused on risk, you’ll frequently work alongside risk analysts, compliance officers, IT professionals, and business managers to identify, assess, and mitigate potential threats to the organization. You’ll translate complex data models into actionable insights, present findings to non-technical stakeholders, and often participate in strategic meetings to align your analyses with business goals. Effective communication and teamwork are essential, as your models and recommendations directly influence decision-making across departments. This collaborative environment allows you to quickly gain exposure to different areas of the business and expand your professional network.

What are the key skills and qualifications needed to thrive as a contract data scientist risk, and why are they important?

To thrive as a Contract Data Scientist in Risk, you need strong analytical skills, proficiency in statistical modeling, and a solid background in mathematics or computer science, often supported by an advanced degree. Familiarity with programming languages like Python or R, expertise in machine learning libraries, and experience with risk modeling platforms or data visualization tools are typically required. Outstanding problem-solving abilities, attention to detail, and effective communication make someone stand out in this position. These skills and qualities are crucial for accurately identifying, assessing, and mitigating risks, enabling data-driven decision-making in dynamic business environments.
What are the most commonly searched types of Data Scientist Risk jobs in Pennsylvania? The most popular types of Data Scientist Risk jobs in Pennsylvania are:

Sr. Data Scientist

Lincoln Financial

Radnor, PA • On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Posted 7 days ago


Lincoln Financial rating

7.4

Company rating: 7.4 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

226th of 304 rated insurance


Job description

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.

Experimentation

  • 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 and leadership attributes

  • Leadership development and virtual training opportunities

  • PTO/parental leave

  • Competitive 401K and employee benefits

  • 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 - $176,200 with 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. 

Follow us on Facebook, X, LinkedIn, Instagram, and YouTube. For the latest company news, visit our newsroom. 

Be Aware of Fraudulent Recruiting Activities

If you are interested in a career at Lincoln, we encourage you to review our current openings and apply on our website. 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 fraudhotline@lfg.com if you encounter a recruiter or see a job opportunity that seems suspicious.

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 (866) 922-6543.

This Employer Participates in E-Verify. See the E-Verify notices.

Este Empleador Participa en E-Verify. Ver el E-Verify avisos. 


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About Lincoln Financial

Sourced by ZipRecruiter

Lincoln Financial Group, a Fortune 200 company with over 10,000 employees, provides advice and solutions that help empower Americans to take charge of their financial lives with confidence. Our core business areas - Life Insurance, Annuities, Retirement Plan Services and Group Protection - focus on supporting, preserving and enhancing over 17 million customer's lifestyles and retirement outcomes. Headquartered in Radnor, Pennsylvania, Lincoln Financial Group is the marketing name for Lincoln National Corporation (NYSE: LNC) and its affiliates. The company had $324 billion in end-of-period account values as of June 30, 2021. Ranked one of the Best Large Employers in America and Best Employers for Women by Forbes magazine as well as one of Newsweek's Most Responsible Companies, Lincoln Financial Group makes a serious investment in our employees' futures through a broad range of wealth accumulation and protection plans, health and wellness programs, and career development resources designed to help each individual reach their personal and professional goals.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

Radnor, PA, US

Year founded

1905