Associate Data Scientist
About The Position
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.Your Role Developed end-to-end Machine Learning and NLP solutions, including data preprocessing, feature engineering, model training, evaluation, and deployment for business use cases. Performed exploratory data analysis (EDA) and statistical analysis using Python and SQL to extract insights from structured and unstructured datasets. Built and optimized machine learning models such as regression, classification, clustering, and ensemble methods to generate predictive insights. Collaborated with cross-functional teams and stakeholders to translate business requirements into scalable AI/ML solutions and support model deployment.
Requirements
- Experience in Python (NumPy, Pandas, Matplotlib, Seaborn) and SQL for data analysis, feature engineering, and machine learning development.
- Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, and PyTorch.
- Knowledge of Natural Language Processing (NLP) techniques and Generative AI concepts, including familiarity with Large Language Models and tools like LangChain.
- Experience with data visualization tools such as Tableau or Power BI and exposure to cloud platforms like AWS, Azure, or GCP.
Responsibilities
- Developed end-to-end Machine Learning and NLP solutions, including data preprocessing, feature engineering, model training, evaluation, and deployment for business use cases.
- Performed exploratory data analysis (EDA) and statistical analysis using Python and SQL to extract insights from structured and unstructured datasets.
- Built and optimized machine learning models such as regression, classification, clustering, and ensemble methods to generate predictive insights.
- Collaborated with cross-functional teams and stakeholders to translate business requirements into scalable AI/ML solutions and support model deployment.
Benefits
- We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
- At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
- Equip yourself with valuable certifications in the latest technologies such as Generative AI.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
