{"id":1805669,"url":"https://alion.io/job/capgemini-associate-data-scientist-3","title":"Associate 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":46000,"max":111000,"currency":"USD","period":"year","gross":null,"usd_annual":111000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"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":"Oracle","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Computer Vision","optional":true},{"name":"Confluence","optional":true},{"name":"Kubernetes","optional":true},{"name":"Neo4j","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":"2026-09-03T22:35:10Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-05T02:32:09Z","board_verified":true,"closed_at":null,"days_open":31,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":31},"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.\nLocations:\nHouston ,TX - Onsite\nAbout the job you’re considering:\nCapgemini is seeking an enthusiastic and driven Junior AI-Native Consultant 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. You will contribute to innovative projects, applying advanced AI/ML techniques to optimize operations, enhance decision-making, and drive digital transformation for our clients.\nWe are looking for individuals who possess a strong foundational understanding of AI concepts and have a minimum of 15 months of professional experience within the Oracle Field Service Cloud (OFSC), Oil & Gas, or broader Utilities domain. This is a client-facing role that requires excellent communication and problem-solving skills.\nYour Role:\nCollaborate with senior consultants and client teams to identify business challenges and opportunities for AI-driven solutions in 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, cleaning, and preprocessing activities for AI initiatives.\nWork with leading cloud technologies (Azure, AWS, GCP) and their AI/ML services.\nUtilize platforms such as Databricks, PySpark, and modern AI frameworks.\nDevelop agentic AI workflows and intelligent agents to automate tasks and improve operational efficiency.\nParticipate in client workshops and presentations, effectively articulating technical concepts to diverse stakeholders.\nContribute to project documentation, reports, and client deliverables.\nDevelop reusable assets, demos, and solution accelerators.\nStay current with emerging AI technologies and industry trends, particularly within the Energy & Utilities landscape.\nFoster a collaborative environment, actively sharing knowledge and best practices within the team.\nRequired Qualifications\nRequired Qualifications\nBachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field.\nMinimum of 15 months of professional (non-internship) work experience in data science, AI, or machine learning roles.\nDemonstrable background in the Energy & Utilities sector, specifically with OFSC (Oracle Field Service Cloud), Oil & Gas, or general Utilities industry knowledge.\nFoundational knowledge of Artificial Intelligence, Machine Learning, and Deep Learning concepts.\nProficiency in at least one AI-centric programming language (e.g., Python).\nExperience with:Generative AI concepts (GPT, Claude, LLMs)\nMLOps, model deployment, and monitoring\nLangChain and Retrieval-Augmented Generation (RAG) concepts\nREST APIs, JSON, Authentication, and Integration patterns\nDeployment tools (Azure DevOps, Docker, AWS ECS/EKS/Fargate) and CI/CD pipelines (AWS CloudFormation, CodeDeploy)\nData engineering principles, including SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis)\n\nStrong analytical, problem-solving, and critical thinking skills.\nExcellent communication, presentation, and interpersonal skills, with proven ability to engage effectively in client-facing situations.\nAbility to quickly adapt to new technologies and thrive in a fast-paced, evolving environment.\nPreferred Qualifications:\nFamiliarity with industry-specific tools such as Seeq and historians (e.g., PHD).\nExperience with any of the following:data visualization tools and techniques\nMachine Learning frameworks (TensorFlow, PyTorch, scikit-learn)\nNLP\ncomputer vision\ngraph database technology (Neo4J, Ontotext)\nJIRA / Confluence\n\nPrior project or internship experience in a consulting environment.\nThe base compensation range for this role in the posted location is:$46,000 to $111,000.\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":8956,"description_truncated":false,"requirements":{"experience_years_min":null,"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":15,"band":"cold","label":"Long shot","p_open":1,"p_active":0.332,"p_room":0.44,"age_days":30,"expected_fill_days":23,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:junior,brand"],"computed_at":"2026-10-04T05:45:00Z"},"pay":{"stated_usd_annual":111000,"is_top_pay":false},"html_url":"https://alion.io/job/capgemini-associate-data-scientist-3","json_url":"https://alion.io/job/capgemini-associate-data-scientist-3.json","meta":{"generated_at":"2026-10-05T03:26:17Z","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":4601,"day_limit":5000,"remaining_today":399,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}