Data & AI

Harnessing the power of data and AI to generate actionable insights, drive automation, and deliver intelligence-driven solutions.

Our areas of expertise

Data Warehouse/Platforms

  • Snowflake, Databricks, Redshift, BigQuery, Fabric, Synapse, Palantir

Data Engineering

  • Spark, Kafka, Airflow, dbt, Palantir Foundry, Flink, ADFProcess Optimization (Lean Six Sigma)

Gen AI

  • Bedrock, Vertex, OpenAI, Claude, GPT, Llama

Visualization & BI

  • Power BI, Tableau, Looker, Sigma, QuickSight

Data Science/ML

  • TensorFlow, PyTorch, SageMaker, Azure ML, Gurobi, CPLEX

Data Governance & Catalog

  • Collibra, Alation, Profisee, Informatica

Top jobs

  • Data Analyst
  • Data Engineer
  • Machine Learning Engineer
  • Data Scientist
  • BI Analyst
  • AI Engineer
  • SQL Developer
  • ETL Developer
  • Analytics Engineer

Client testimonials

"Very supportive, trustworthy, and competent recruitment professionals. They have an in-depth understanding of various skillsets relevant to the analytics domain; they are very accessible and resourceful. I have always found them punctual and a go-to team for all queries. I would highly recommend this team."

- Current Partner

- Current Partner

"First class recruiters who definitely go the ‘extra mile’ for their candidates and clients. I have had the pleasure of working with them on two positions...one of which I landed! I think what differentiates them from other recruiters is their deep client relationships and their dedication to a wholly positive candidate experience. Their positive attitude is infectious!"

Impact

Work with numerous Fortune 500 clients to build out data science and machine learning teams for major cost savings initiatives. These teams are focused on Optimization, Computer Vision, NLP, and R&D efforts.


Stood up a data engineering practice for a leader in the entertainment industry. This was a revenue-generating team dedicated to supporting an AdSales department.


Built a team of analysts and marketing specialists devoted to expanding our clients’ digital engagement process from the ground up. This initiative helped optimize and improve the existing platform, thus increasing revenue and customer outreach.

Data & AI case studies

April 29, 2025
A Fortune 500 financial services firm was preparing for a major upgrade to its insurance platform but struggled to build the necessary technical team. Previous attempts to hire through Contingent Labor Programs and traditional outsourcing partners had failed, plagued by cultural misalignment and restrictive conversion terms.
July 3, 2024
A mobility, Big Data, and Cloud Intelligence company struggled with finding local, on-site resources to deliver cutting-edge connected products. The client required skilled software engineers and product delivery resources with experience in mature agile/Scrum methodology within a production environment to transform the automotive industry.
May 15, 2024
A global leader in security-related services embarked on a project to integrate three critical Identity and Access Management (IAM) solutions: SailPoint IdentityNow, CyberArk, and Okta. With a team of only one primary engineer and a backup, the project faced significant resource constraints. The integration required robust technical skills, especially in managing APIs, debugging, and setting up backend connections. Additionally, the client struggled to manage compliance with HIPAA and SOX regulations, which require meticulous attention to detail and thorough documentation.
March 30, 2024
A Fortune 500 software and technology company was struggling with executing an organizational shift to user and product-focused initiatives. The client had a surplus of UX designers and not enough product-focused designers to handle requests flooding in from shared services. The company was evolving and needed all inquiries to funnel through one, robust team comprised of individuals capable of carrying multiple skillsets.
February 1, 2024
A publicly traded company in the insurance technology sector had an alarming number of un-remediated vulnerabilities across their internal and external application portfolio, including revenue-generating websites/mobile apps. With the program sitting in an immature pipeline state with no secure SDLC policies and almost no tooling/automation (just open-source code scanners, manual secure code review, arbitrary pre-deployment standards, etc.)
December 21, 2023
A Fortune 500 utilities company faced several challenges with running its Cyber Security Operations Center (CSOC). After evaluating the situation with their prior managed security service provider (MSSP), the client realized the MSSP did not have the appropriate access or authorization to investigate alerts off-site. This was extremely important for the client as they had multiple security protocols in place, meaning that investigations of alerts and escalations required on-site authorization or full-time employee (FTE) access. The client also struggled with retention and did not have effective methods to find quality candidates that fit the culture of their organization.
November 2, 2023
For 20 years, a multinational healthcare services company relied on the outsourcing support of a managed services provider to fulfill their hiring needs. Upon evaluating the deal later on, the client learned that not only were they overspending on resources, but that they lacked all contract proprietary rights. They did not own any of the documentation or standard operating procedures in place in their own company, handcuffing them to their old vendor.
October 13, 2023
Finding excellent team members that increase business and fit your company’s culture shouldn’t be a struggle

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Data & AI expert

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