AWS Data Scientist

Capgemini; Malvern (Chester County); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Healthcare including dental and vision

401(k) and Employee Share Ownership Plan

Paid time off and paid holidays

Paid parental leave

Family building benefits like adoption assistance

Subsidized back-up child/elder care tutoring

Job summary

Capgemini is seeking an experienced AWS Data Scientist with over 8 years in Data Science, AI, or Machine Learning to design and deploy scalable analytics solutions on AWS. The ideal candidate will possess strong expertise in AI/ML, advanced Python programming, and hands-on experience with AWS services like SageMaker and S3. The position offers comprehensive healthcare benefits, financial well-being programs, and a supportive work environment that values diversity and inclusion.

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.

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.
• Translate complex business problems into AI/ML-driven solutions.

Skills

Data Science

Artificial Intelligence (AI)

Machine Learning (ML)

Python programming

AWS services

Statistics

SQL

Data visualization

MLOps

Communication

Education

Bachelor's or Master's in Data Science, AI, ML or related

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SageMaker

S3

Redshift

Glue

Athena

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, 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

Life At Capgemini

Capgemini supports all aspects of your well‑being throughout the changing stages of your life and career. For eligible employees, we offer:

• Healthcare including dental, vision, mental health, and well‑being programs
• Financial well‑being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well‑being benefits like subsidized back‑up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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 accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law