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Contract Data Scientist Risk Jobs in Pennsylvania

Data Scientist Team Lead

Danville, PA · On-site

$100 - $130/hr

Job Summary The Data Scientist Team Lead leads a team of data scientists and analysts focusing on ... Lead evaluation of AI enabled initiatives, including impact assessment, risk analysis, and ...

New

$125K/yr

To qualify for a Data Scientist (Artificial Intelligence/Machine Learning), your resume and ... Ensures the Al systems are designed for auditability to manage Al risk assessment policies and ...

New

We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed ... Education * Ph.D. in Computer Science, Statistics, Applied Mathematics, Economics, Finance ...

New

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.

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 ...

Showing results 21-40

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:

Data Scientist, Specialist

Vangard, Inc.

Philadelphia, PA

Full-time

Re-posted 14 days ago


Job description

Responsibilities:

Solve Business Problems with AI

  • Partner with business stakeholders toidentify, frame, and prioritize highvalue problems that can be addressed using Agentic AI, LLMs, and NLP.
  • Translate business needs intoclear AI use cases, success metrics, and delivery plans.
  • Focus onbusiness outcomes, not just model performance.

Design & Build Agentic AI Solutions

  • Architect and developagentic AI systems that can reason, plan, and take actions across tools, workflows, and data sources.
  • Design multiagent and toolaugmented LLM solutions to automate complex, multistep processes.
  • Ensure solutions arereliable, explainable, and governed for enterprise use.

Scalable & Responsible AI

  • Collaborate with engineering teams to deploy AI solutions withscalability, security, and performance in mind.
  • Implement evaluation, monitoring, and guardrails for LLM and agentic systems, including bias, drift, and failure modes.
  • Align solutions with enterprise risk management, compliance, and responsible AI standards.

Thought Leadership & Collaboration

  • Act as atrusted AI advisor, helping teams understand where Agentic AI and LLMs add value-and where they do not.
  • Contribute to AI best practices, reusable patterns, and strategic direction.
  • Mentor peers and teammates on applied AI and businessdriven problem solving.

Qualifications:

  • Agentic AI: Experience designing AI agents that reason, plan, and act across systems.
  • Large Language Models (LLMs): Handson experience building enterprise LLM applications (e.g., RAG, tool use, orchestration, evaluation).
  • Natural Language Processing (NLP): Strong experience working with unstructured text and languagedriven workflows.
  • MS or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field.
  • 3+ years delivering AI/ML solutions in production environments.
  • 5+ years of handson Python experience; experience with distributed data processing is a plus.
  • Strong ability tosolve business problems using AI, not just build models.
  • Excellent communication skills, with the ability to explain complex concepts to both technical and nontechnical audiences.
  • Experience working in crossfunctional, enterprise environments.

Special Factors

Sponsorship

Vanguard is offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.