Data Scientist
Capgemini
Data Scientist
Job Description
Data Scientist
📋 Job Overview
Capgemini is seeking a Senior Data Scientist in Bangalore with 4-6 years of experience to lead advanced analytics projects and develop AI solutions. The role involves designing predictive models using Python and ML frameworks to address complex business challenges. The candidate will collaborate with teams, optimize models for production, and mentor juniors while staying current with AI advancements.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Engineering and RandD Services
🎯 Key Responsibilities
- Develop and deploy machine learning models and deep learning architectures for large-scale data sets
- Utilize Python and libraries like Scikit-learn, TensorFlow, and Pandas for data preprocessing, modeling, and evaluation
- Collaborate with cross-functional teams to identify business opportunities and translate them into data-driven solutions
- Optimize model performance and ensure scalability for production environments
- Mentor junior data scientists and contribute to best practices in coding, model development, and documentation
- Stay updated with the latest advancements in AI/ML and integrate them into projects
✅ Required Qualifications
- Master’s or Ph.D. in Computer Science, Data Science, Statistics, or related field
- Minimum 5+ years in data science or related roles
- Proven track record of delivering ML solutions
⭐ Preferred Qualifications
- Experience with cloud platforms (AWS, Azure, or GCP)
🛠️ Required Skills
- Strong proficiency in Python programming
- Hands-on experience with Machine Learning algorithms and frameworks (Scikit-learn, TensorFlow, Keras)
- Solid understanding of data preprocessing, feature engineering, and model evaluation techniques
- Excellent problem-solving skills
- Analytical skills
- Communication skills
Locations
- Bangalore, India
Salary
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Strong proficiency in Python programmingintermediate
- Hands-on experience with Machine Learning algorithms and frameworks (Scikit-learn, TensorFlow, Keras)intermediate
- Solid understanding of data preprocessing, feature engineering, and model evaluation techniquesintermediate
- Excellent problem-solving skillsintermediate
- Analytical skillsintermediate
- Communication skillsintermediate
Required Qualifications
- Master’s or Ph.D. in Computer Science, Data Science, Statistics, or related field (experience)
- Minimum 5+ years in data science or related roles (experience)
- Proven track record of delivering ML solutions (experience)
Preferred Qualifications
- Experience with cloud platforms (AWS, Azure, or GCP) (experience)
Responsibilities
- Develop and deploy machine learning models and deep learning architectures for large-scale data sets
- Utilize Python and libraries like Scikit-learn, TensorFlow, and Pandas for data preprocessing, modeling, and evaluation
- Collaborate with cross-functional teams to identify business opportunities and translate them into data-driven solutions
- Optimize model performance and ensure scalability for production environments
- Mentor junior data scientists and contribute to best practices in coding, model development, and documentation
- Stay updated with the latest advancements in AI/ML and integrate them into projects
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist @ Capgemini.
Related Books and Jobs
Data Scientist
Capgemini
Data Scientist
Job Description
Data Scientist
📋 Job Overview
Capgemini is seeking a Senior Data Scientist in Bangalore with 4-6 years of experience to lead advanced analytics projects and develop AI solutions. The role involves designing predictive models using Python and ML frameworks to address complex business challenges. The candidate will collaborate with teams, optimize models for production, and mentor juniors while staying current with AI advancements.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Engineering and RandD Services
🎯 Key Responsibilities
- Develop and deploy machine learning models and deep learning architectures for large-scale data sets
- Utilize Python and libraries like Scikit-learn, TensorFlow, and Pandas for data preprocessing, modeling, and evaluation
- Collaborate with cross-functional teams to identify business opportunities and translate them into data-driven solutions
- Optimize model performance and ensure scalability for production environments
- Mentor junior data scientists and contribute to best practices in coding, model development, and documentation
- Stay updated with the latest advancements in AI/ML and integrate them into projects
✅ Required Qualifications
- Master’s or Ph.D. in Computer Science, Data Science, Statistics, or related field
- Minimum 5+ years in data science or related roles
- Proven track record of delivering ML solutions
⭐ Preferred Qualifications
- Experience with cloud platforms (AWS, Azure, or GCP)
🛠️ Required Skills
- Strong proficiency in Python programming
- Hands-on experience with Machine Learning algorithms and frameworks (Scikit-learn, TensorFlow, Keras)
- Solid understanding of data preprocessing, feature engineering, and model evaluation techniques
- Excellent problem-solving skills
- Analytical skills
- Communication skills
Locations
- Bangalore, India
Salary
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Strong proficiency in Python programmingintermediate
- Hands-on experience with Machine Learning algorithms and frameworks (Scikit-learn, TensorFlow, Keras)intermediate
- Solid understanding of data preprocessing, feature engineering, and model evaluation techniquesintermediate
- Excellent problem-solving skillsintermediate
- Analytical skillsintermediate
- Communication skillsintermediate
Required Qualifications
- Master’s or Ph.D. in Computer Science, Data Science, Statistics, or related field (experience)
- Minimum 5+ years in data science or related roles (experience)
- Proven track record of delivering ML solutions (experience)
Preferred Qualifications
- Experience with cloud platforms (AWS, Azure, or GCP) (experience)
Responsibilities
- Develop and deploy machine learning models and deep learning architectures for large-scale data sets
- Utilize Python and libraries like Scikit-learn, TensorFlow, and Pandas for data preprocessing, modeling, and evaluation
- Collaborate with cross-functional teams to identify business opportunities and translate them into data-driven solutions
- Optimize model performance and ensure scalability for production environments
- Mentor junior data scientists and contribute to best practices in coding, model development, and documentation
- Stay updated with the latest advancements in AI/ML and integrate them into projects
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist @ Capgemini.
Related Books and Jobs