{"id":1805671,"url":"https://alion.io/job/capgemini-data-scientist-4","title":"Data Scientist","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":75,"open_postings":915,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-10-04T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Houston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":53580,"max":122400,"currency":"USD","period":"year","gross":null,"usd_annual":122400},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"AWS","optional":false},{"name":"AWS Fargate","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"CloudFormation","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"LangChain","optional":false},{"name":"Machine Learning","optional":false},{"name":"MySQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"Kubernetes","optional":true},{"name":"NLP","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Spark","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-09-28T17:12:34Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-05T00:02:56Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.\nLocation\nThis is onsite role based in Houston, TX\nAbout the job you're considering\nCapgemini is seeking an enthusiastic and driven AI/ML Engineer / GenAI Engineer / Data Scientist to join our dynamic Energy & Utilities sector team. This role is designed for emerging talent passionate about leveraging Artificial Intelligence to solve complex industry challenges. The ideal candidate will contribute to innovative projects, applying advanced AI/ML techniques to optimize operations, enhance decision-making, and drive digital transformation for our clients. This is a client-facing role requiring strong technical expertise, communication skills, and a passion for AI-driven innovation.\nYour Role\nCollaborate with senior consultants and client teams to identify business challenges and opportunities for AI-driven solutions within the Energy & Utilities sector.\nAssist in the design, development, and deployment of AI/ML models, including Generative AI and Predictive AI solutions.\nSupport data collection, cleansing, validation, and preprocessing activities for AI initiatives.\nWork with leading cloud platforms including Azure, AWS, and GCP, leveraging their AI and machine learning services.\nUtilize Databricks, PySpark, and modern AI frameworks to develop scalable analytics and AI solutions.\nDevelop agentic AI workflows and intelligent agents to automate business processes and improve operational efficiency.\nDesign and implement Retrieval-Augmented Generation (RAG) solutions using modern AI technologies and frameworks.\nYour skills and experience\nBachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field.\nMinimum of 2 years of professional work experience in Data Science, Artificial Intelligence, or Machine Learning roles.\nDemonstrated experience within the Energy & Utilities sector.\nStrong foundational knowledge of Artificial Intelligence, Machine Learning, and Deep Learning concepts.\nProficiency in Python or other AI-centric programming languages.\nExperience working with Generative AI concepts including GPT, Claude, Large Language Models (LLMs), and foundation models.\nKnowledge of MLOps practices including model deployment, monitoring, governance, and lifecycle management.\nExperience with LangChain, Retrieval-Augmented Generation (RAG), prompt engineering, and AI orchestration frameworks.\nHands-on experience developing and consuming REST APIs, JSON-based services, authentication mechanisms, and integration patterns.\nExperience with deployment tools such as Azure DevOps, Docker, AWS ECS, EKS, Fargate, CloudFormation, CodeDeploy, and CI/CD pipelines.\nStrong understanding of data engineering principles and experience working with SQL and NoSQL databases such as MySQL, MongoDB, and Redis.\nExperience utilizing Databricks, PySpark, and cloud-based analytics platforms. • Strong analytical thinking, problem-solving, and critical reasoning skills.\nExcellent communication, presentation, and interpersonal skills with the ability to effectively engage in client-facing situations.\nAbility to quickly learn emerging technologies and adapt within fast-paced, evolving environments.\nExperience working in Agile/Scrum delivery environments.\nStrong collaboration skills with cross-functional and geographically distributed teams.\nPreferred Experience\nPrior experience with OFSE (Oil Field Services & Equipment) or broader Oil & Gas industry operations.\nExperience with data visualization tools and techniques.\nHands-on experience with Machine Learning frameworks such as TensorFlow, PyTorch, and scikit-learn.\nExperience in Natural Language Processing (NLP) solutions and applications.\nThe base compensation range for this role in the posted location is $ 53,580 to $122,400\nCapgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.\nThe actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.\nThese may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.\nIt is not typical for candidates to be hired at or near the top of the posted compensation range.\nIn addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.\nCapgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:\nPaid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave\nMedical, dental, and vision coverage (or provincial healthcare coordination in Canada)\nRetirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)\nLife and disability insurance\nEmployee assistance programs\nOther benefits as provided by local policy and eligibility\nImportant Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.\nDisclaimers\nCapgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.\nThis is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.\nPlease be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.\nClick the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law\nCapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.","description_format":"text","description_chars":8939,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Government","Science & Engineering","Research Institutes"],"lifecycle":[{"event":"open","at":"2026-10-03T19:10:09Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 2,076 · green card filings: 82","filings_12m":2076,"filings_prev_12m":2803,"green_card_filings_12m":82,"median_offered_wage_usd":132120,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":79}],"liveness":{"score":65,"band":"ok","label":"Likely open","p_open":1,"p_active":0.653,"p_room":1,"age_days":5,"expected_fill_days":23,"reasons":["conf:0","stale_co","wave","velocity","win:early","comp:junior,brand"],"computed_at":"2026-10-04T05:45:00Z"},"pay":{"stated_usd_annual":122400,"is_top_pay":true},"html_url":"https://alion.io/job/capgemini-data-scientist-4","json_url":"https://alion.io/job/capgemini-data-scientist-4.json","meta":{"generated_at":"2026-10-05T01:57:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2565,"day_limit":5000,"remaining_today":2435,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}