Sr. Data Scientist – Advanced Analytics & AI

Insight Global; Houston (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Insight Global is seeking a senior analytics AI leader to own one of our core predictive engines and drive scalable modeling efforts. You will blend mathematical modeling with visualization, creating tools to recommend actions at scale.

You will advance AI capabilities using Generative AI, LLMs, and intelligent agents, collaborating across geographies and teams to maximize value and coach others in model development.

Qualifications

• Bachelor's degree with 5+ years analytics/strategy experience.
• Familiar with LangChain, LangGraph, Semantic Kernel.
• Understanding of AI governance and RAG architectures.
• 4+ years SQL/NoSQL data manipulation.
• 3+ years Python and/or OOP languages (C++, Java).
• 7-10 years analytics experience overall.
• Experience deploying Generative AI/LLM solutions in enterprise environments.

Responsibilities

• Own multiple models within one predictive/prescriptive engine.
• Develop AI-enabled solutions using Generative AI, LLMs, and agents.
• Collaborate across business functions to align priorities.
• Evaluate emerging AI technologies to improve performance and outcomes.
• Publish papers and speak at industry conferences to attract talent.
• Create dashboards and scorecards to monitor adoption and impact.
• Coach team members in model development.

Skills

Python

SQL/NoSQL

C++

Java

Bayesian stats

Time-series

Regression analysis

Generative AI

LLMs

AI governance

Education

Bachelor's degree or higher

Tools

LangChain

LangGraph

Semantic Kernel

Job description

Job Description

Over time, this role will own one of the five core predictive/prescriptive engines within the organization. Each engine will have multiple models as components. To lead the development of this engine, the role will require expert ability in mathematical modeling, analytical and heuristic solution methods, the ability to synthesize, visualize, and communicate results, and create tools at scale to drive recommended courses of action.

This role will help advance the organization's AI capabilities by applying Generative AI, LLMs, and agent-based solutions to enhance decision-making, automation, and business outcomes.

This role will require close collaboration across business functions, operating companies, specialty companies, geographies, and technology teams to align priorities and ensure the appropriate path to value. This role is expected to create models while also coaching team members in model development.

Key Responsibilities:

• Ensure the data mined, cleansed, and engineered for models is accurate and appropriate.
• Bring forward new and diverse datasets to help solve business problems.
• Own multiple models associated with one of the organization's predictive/prescriptive engines.
• Evaluate emerging AI technologies and identify opportunities to improve model performance, automation, and business outcomes.
• Develop and integrate AI-enabled solutions leveraging Generative AI, Large Language Models (LLMs), and intelligent agents to enhance predictive and prescriptive decision-making.
• Identify and use appropriate advanced analytic tools, technologies, and platforms to solve business problems; create the roadmap for the engine, sequence models over time, develop or direct the creation of models and algorithms, and tune models to ensure desired business outcomes.
• Ensure performance scorecards and dashboards used to monitor adoption, implementation, and impact of models and strategies are effective and shared across the enterprise.
• Work cross-functionally within Enterprise Analytics and broader business teams to tune models and maximize value creation.
• Partner with Business Technology resources on APIs, front-end applications, and downstream integrations.
• Collaborate with business process owners to validate model outputs and construct appropriate training approaches.
• Work with data scientists and associate data scientists to ensure the correct data sets, calculations, and analytical methods are used to solve business problems.
• Act as a magnet for data science talent.
• Publish papers and speak at industry conferences to help attract emerging analytics and AI talent.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• Bachelor's degree + 5 years, Master's degree + 3 years, or PhD + 2 years of industry experience in management consulting, strategy, analytics, a specialized analytics company, or a corporate analytics organization.
• Familiarity with modern AI frameworks such as LangChain, LangGraph, Semantic Kernel, or similar technologies.
• Understanding of AI orchestration, RAG architectures, and AI governance best practices.
• 4+ years of experience accessing and manipulating data in SQL or NoSQL database environments.
• 2+ years of experience with scientific scripting languages (e.g., Python) and/or object-oriented programming (e.g., C++, Java).
• 3+ years of experience with Bayesian statistics, regression analysis (beyond linear regression), supervised learning, unsupervised learning, or time-series analysis.
• 7-10 years of overall analytics experience, inclusive of post-graduate work.
• Experience developing and deploying Generative AI, LLM, or AI agent solutions in enterprise environments.