AWS Data Scientist

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.

Job Location :
Malvern, PA (Onsite/Hybrid)

Job Description We are looking for a highly experienced AWS Data Scientist with deep expertise in Artificial Intelligence (AI), Machine Learning (ML), and advanced Python programming to build and deploy scalable, cloud-native analytics solutions on AWS. The role requires hands-on experience across the full data science lifecycle and close collaboration with business and engineering teams.

Required

Skills & Qualifications Minimum 8+ years of experience in Data Science, AI, or Machine Learning Strong hands-on expertise in AI & ML, including supervised and unsupervised learning, NLP, or deep learning

Advanced Python programming skills, including libraries such as Pandas, Num Py, Scikit-learn, Tensor Flow, Py Torch Extensive  experience with AWS, especially Sage Maker, S3, Redshift, Glue, Athena, Lambda Strong foundation in statistics, predictive modeling, and ML algorithms

Proficiency in SQL and experience with data visualization techniques

Excellent communication and stakeholder management skills

Key Responsibilities Design, develop, and deploy AI/ML models and data science solutions on AWSBuild end-to-end ML pipelines using AWS services such as Sage Maker, Lambda, EC2, and ECRPerform advanced data analysis, feature engineering, model training, and optimization using Python Work with large-scale datasets using AWS data services including S3, Glue, Athena, and Redshift Implement MLOps practices for model deployment, monitoring, retraining, and version control

Translate complex business problems into AI/ML-driven solutions

Ensure adherence to data security, governance, and compliance standards

Preferred Qualifications AWS Certifications (Machine Learning – Specialty or Solutions Architect)

Experience with big data technologies such as Spark Exposure to real-time or streaming data pipelines

Background in financial services or regulated industries

The base compensation range for this role in the posted location is: $80786 - 90892

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  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,…