Jobs at Insight

Positions 252,432

Insight is a leading SaaS provider that delivers AI‑driven analytics for the financial services sector. With a global footprint in North America, Europe, and Asia, the company is known for its real‑time data pipelines and predictive modeling tools that help banks reduce risk and optimize portfolio performance.

Insight hires data scientists, machine learning engineers, cloud architects, full‑stack developers, and product managers who thrive in an agile environment. Candidates can expect rigorous technical interviews, collaborative sprint cycles, and opportunities to work on high‑impact projects that directly influence client outcomes.

Job Transparency’s Insight listings offer transparent salary ranges, employee rating snapshots, and hiring manager feedback. By comparing Insight’s compensation data with industry benchmarks, applicants can negotiate offers that reflect market value and align with their career goals.

Plumber II

Company: Insight

Location: Chicago, IL

Posted Aug 15, 2025

This position is expected to work across trade disciplines to and including but not limited to the following; repair and maintenance of mechanical and…

Janitor/Cleaner

Company: Insight Disability Services

Location: Las Vegas, NV

Posted Aug 05, 2025

This role is essential in providing a clean, safe, and welcoming environment for all employees and visitors. Maintain cleanliness in restrooms, break rooms, and…

Machine Operator I

Company: Insight Global

Location: San Diego, CA

Posted Jul 29, 2025

This role supports manufacturing operations by ensuring equipment is functioning properly, materials are handled correctly, and production areas are maintained…

Senior Supply Chain Analyst

Company: Insight Global

Location: Bothell, WA

Posted Aug 13, 2025

Experience with other data analysis tools or programming languages (e.g., Python, R). Minimum of Bachelor's degree in Supply Chain Management, Business…

Decision Scientist II

Company: Retail Insight Ltd

Location: Chicago, IL

Posted Aug 15, 2025

Keen on continuous technical development, data analytics trends and tools. Communicating with varying levels of stakeholder in both technical and non-technical…

Technical Manager of Data Engineering

Company: Insight Global

Location: Las Vegas, NV

Posted Jul 18, 2025

Perform hands-on project work, including analysis, design, process engineering, and change management. Experience in conducting design meetings and developing…

Marketing Manager

Company: Insight Global

Location: New York, NY

Posted Jul 16, 2025

They will thrive in a fast-paced environment and be able to develop and execute effective marketing strategies, utilizing a variety of channels to drive book…

Senior AEM Developer

Company: Insight Global

Location: Tempe, AZ

Posted Jul 30, 2025

We are seeking a highly skilled and experienced Principal Software Engineer to design, develop, and optimize web applications on Adobe Experience Manager (AEM)…

Frequently Asked Questions

What is it like to work at Insight?
Insight fosters a collaborative culture with a 4‑week onboarding program, 3‑day remote work policy, and flexible hours. Employees report strong mentorship, access to continuous learning credits, and a 401(k) match of 4%. The company emphasizes work‑life balance and mental health support through on‑site counseling and wellness stipends.
What types of positions are available at Insight?
Insight’s 203 openings span data science, machine learning engineering, cloud architecture, full‑stack development (React, Node.js, Go), product management, UX research, DevOps, cybersecurity, and customer success. Technical stacks include Python, R, TensorFlow, Kubernetes, AWS, and Azure, while product roles focus on AI‑powered analytics dashboards and API development.
How can I stand out as an applicant for Insight?
Tailor your resume to highlight data‑driven achievements, quantify results (e.g., reduced prediction error by 12%), and showcase relevant open‑source contributions on GitHub. Prepare for Insight’s interview by mastering case studies on real‑time data processing, demonstrating proficiency in SQL and distributed computing, and presenting a portfolio of ML projects that include model explainability and deployment pipelines.

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