Data Scientist

Data Scientist Berwyn, IL Job Details Permanent | Full-time $76,200 - $187,740 a year 19 hours ago Benefits Paid holidays Disability insurance Health insurance Dental insurance 401(k) Paid time off Employee assistance program Vision insurance Qualifications TensorFlow 7 years Data transformation pipeline development Computer Science Continuous Delivery (CD) implementation PyTorch Software deployment Engineering Mathematics Google Cloud Platform Master's degree Automating deployment processes SQL Customer segmentation AWS Bachelor's degree in engineering Bachelor's degree Model deployment Semantic Web Experimental design Master's degree in mathematics Predictive analytics Agile software development Model training Master's degree in computer science A/B testing Bachelor's degree in mathematics Senior level AI Master's degree in engineering Bachelor's degree in computer science BERT Machine learning frameworks Data-driven decision making Graph databases MLOps Generative AI Full Job Description Berwyn Data Scientist At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Data Scientist Location:

This is a fully remote role based anywhere in the United States. About the Job You're Considering In this role, you'll lead high-impact projects that drive personalization, automation, and smarter decision-making across our digital products. You'll collaborate with top-tier professionals in a fast-paced, inclusive environment, working with cutting-edge technologies like Large Language Models (LLMs), Generative AI, and Knowledge Graphs. You'll work on projects that truly matter, driving AI/ML adoption across a global organization. You'll have the chance to innovate, learn, and grow alongside industry experts while contributing to a culture that values diversity, creativity, and continuous improvement. Your Role Develop and optimize predictive and prescriptive models to extract insights and enhance decision-making. Apply deep learning and neural network techniques for customer classification, segmentation, and personalization. Utilize MLOps to efficiently deploy, monitor, and maintain ML models in production. Implement and fine-tune Large Language Models (LLMs) and Generative AI solutions for automation and user engagement. Explore and integrate knowledge graphs to enhance data relationships and improve AI-driven recommendations. Work with data engineers to design and develop robust data pipelines for large-scale ETL processing using SQL and cloud-based solutions (GCP preferred). Write complex SQL queries for extracting, transforming, and loading (ETL) data efficiently and implement CI/CD workflows to automate model training, deployment, and monitoring. Collaborate in an Agile/DevOps environment, promoting a data-centric culture and clearly communicating complex methodologies and insights to technical and non-technical audiences. Your Skills and Experience 7+ years of experience in Data Science, Machine Learning, or related fields. Strong expertise in Python, SQL, and modern ML frameworks (TensorFlow, PyTorch, Scikit-Learn). Experience with MLOps tools (MLflow, Kubeflow, Airflow) for model deployment and monitoring. Proficiency in cloud platforms (GCP/AWS) and scalable data engineering. Strong understanding of probability theory, statistics, and experimental design (A/B Testing). Experience with collaborative software engineering practices (Agile, DevOps). Bachelor's or master's degree in computer science, Mathematics, Engineering, or related field. Experience with Knowledge Graphs and their integration into AI/ML pipelines. Hands-on experience in LLMs (e.g., GPT, BERT, LLaMA, Claude) and Generative AI technologies. Experienced in retail technologies with a strong focus on personalization platforms and recommendation engines. Understanding of digital ecosystems and data-driven decision-making. The base compensation range for this role in the posted location is: $76,200.- $187,740/Year Capgemini 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. The 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. These 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. It is not typical for candidates to be hired at or near the top of the posted compensation range. In 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. Capgemini 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: Paid 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 Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the

U.S., RRSP

in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility

Important 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. Disclaimers Capgemini 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. This 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. Please 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. Capgemini 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. Ref. code 385711-en_GB Posted on 07 Jan 2026 Experience level Experienced Professionals Contract type Permanent Location Berwyn Business unit Engineering and RandD Services Brand Capgemini Engineering Professional communities Data & AI