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. The Group reported 2024 global revenues of €22.1 billion.

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www.capgemini.com

Industry: Services et conseil en informatique
Company Size: + de 10 000 employés

Capgemini

Savvy Admin PROD

**Position Title : AWS Data Scientist **

**Location : Malvern, PA (Onsite/Hybrid) **

**Experience : 8+ Years **

**Employee Type : Full Time with Benefits **

**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

If your Interested, Kindly, share us your resume on **abuzar.umar@capgemini.com **

**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:

- Flexible work

- 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

AWS Data Scientist

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