Job Location : Malvern, PA (Onsite/Hybrid)Job DescriptionWe 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, NumPy, Scikit-learn, TensorFlow, PyTorch
- Extensive experience with AWS, especially SageMaker, 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 AWS
- Build end-to-end ML pipelines using AWS services such as SageMaker, Lambda, EC2, and ECR
- Perform 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 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
