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Capgemini Data Science Jobs Near Me

Sogeti

Senior Java Developer

Columbus, OH · On-site

$55.25 - $70.50/hr

Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems ... AI, data and automation. Become Your Best | www.sogeti.us Disclaimer Capgemini is an Equal ...

United Airlines

SAP EAM Solution Architect

Westerville, OH · On-site

$123K - $340K/yr

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the ... Define and govern solution architecture standards, integration strategies, data models, and ...

Sogeti

Entry Level Technology Consultant

Columbus, OH · On-site

At Sogeti, part of the Capgemini Group, we empower new graduates to turn curiosity into solutions ... A bachelor's degree in Computer Science , Software Engineering, Data Analytics, Quality Engineering ...

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Capgemini Data Science information

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$23.5K

$116.9K

$210.5K

How much do capgemini data science jobs pay per year?

As of Sep 15, 2026, the average yearly pay for capgemini data science in the United States is $116,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $161,000.00 per year, depending on experience, location, and employer.

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Capgemini Data Science jobs near you
A map of the United States highlighting the number of Capgemini Data Science job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Capgemini Data Science job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Managing Solution Architect

Columbus, OH • On-site

Purple Drive Technologies LLC
IT Services • 51 - 200 employees
Learn more about Purple Drive Technologies LLCexternal

$58.75 - $77.50/hr

Other

Posted 4 days ago

Job description

Key Responsibilities

  • Serve as a trusted Data & AI advisor to executives and business leaders across electric, gas, and multi-utility organizations.
  • Lead client workshops and consulting engagements to define Data & AI strategies, transformation roadmaps, use-case portfolios, business cases, and investment priorities.
  • Identify opportunities to apply Data, AI, Generative AI, and Agentic AI to improve business performance and create measurable value across the Utilities value chain.
  • Architect Data & AI solutions across key utility domains, including Customer and Meter-to-Cash, Transmission and Distribution, Grid Operations, Asset Management, Field Operations, Power Generation, Renewables, Distributed Energy Resources, and Capital Projects.
  • Define solution architectures integrating Data & AI capabilities with utility platforms such as CIS, AMI, GIS, OMS, ADMS, DERMS, EAM, ERP, CRM, work management, and enterprise data platforms.
  • Advise clients on modern data platforms, data products, analytics, AI platforms, knowledge management, real-time data, AI governance, Responsible AI, and enterprise AI architectures.
  • Develop business and value cases connecting Data & AI investments to outcomes including reliability, resilience, customer experience, workforce productivity, asset performance, operational efficiency, and capital effectiveness.
  • Partner with Capgemini account and delivery teams to shape strategic Data & AI opportunities, proposals, RFP responses, executive presentations, and client solutions.
  • Provide executive and architectural oversight of strategic client engagements to ensure solutions remain aligned with the client's business objectives, architecture, and expected outcomes.
  • Collaborate across Capgemini consulting, architecture, data engineering, data science, AI engineering, application, and delivery teams to develop and deliver integrated client solutions.

Required Skills and Expereince

  • 5-10+ years of experience in Utilities, Data & AI, technology consulting, solution architecture, or related disciplines.
  • Strong understanding of the Utilities industry and value chain, including electric and/or gas utilities.
  • Experience across utility domains such as Customer, Meter-to-Cash, Transmission, Distribution, Grid Operations, Asset Management, Field Operations, Power Generation, Renewables, and Distributed Energy Resources.
  • Knowledge of utility platforms and operational systems, including CIS, AMI, GIS, OMS, ADMS, DERMS, EAM, ERP, CRM, and enterprise data platforms.
  • Strong understanding of Data & AI capabilities, including data engineering, analytics, machine learning, Generative AI, Agentic AI, real-time analytics, knowledge management, and modern enterprise data architectures.
  • Experience developing Data & AI strategies, roadmaps, business cases, solution architectures, or enterprise transformation programs.
  • Experience with leading cloud, data, and AI platforms such as Microsoft Azure, AWS, Google Cloud, Databricks, Snowflake, or equivalent technologies.
  • Strong consultative, executive communication, presentation, and client relationship skills, with the ability to translate complex technology concepts into business outcomes.
  • Experience supporting consultative sales, solution development, proposals, and complex Data & AI transformation opportunities.
  • Ability to work across multidisciplinary teams and provide leadership from strategy and solution development through delivery.
  • Ability to travel to client locations as required.

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