Data Scientist
Capgemini
Data Scientist
Job Description
Data Scientist
📋 Job Overview
As a Data Scientist at Capgemini Engineering, you will develop and implement advanced machine learning models to solve complex business problems and design end-to-end ML pipelines using MLOps practices. The role involves utilizing PySpark for large-scale data processing, performing exploratory data analysis, feature engineering, and communicating insights to stakeholders. You will collaborate with data engineers and analysts in a dynamic software engineering environment focused on innovation and sustainability.
📍 Location: Hyderabad
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Engineering and RandD Services
🎯 Key Responsibilities
- Develop and implement advanced machine learning models and algorithms to solve complex business problems
- Design and maintain end-to-end ML pipelines using MLOps best practices for model deployment and monitoring
- Utilize PySpark for large-scale data processing and transformation
- Collaborate with data engineers and analysts to ensure data quality, integrity, and accessibility
- Perform exploratory data analysis, feature engineering, and model optimization
- Communicate insights and recommendations to stakeholders through clear visualizations and reports
- Apply scientific methods to analyse and solve software engineering problems
- Responsible for the development and application of software engineering practice and knowledge in research, design, development and maintenance
- Exercise original thought and judgement and supervise the technical and administrative work of other software engineers
- Collaborate and act as team player with other software engineers and stakeholders
✅ Required Qualifications
- Proven experience as a Data Scientist
- Strong understanding of statistical modelling and machine learning techniques
- Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, or similar)
- Proficiency in PySpark and distributed data processing
- Strong programming skills in Python
⭐ Preferred Qualifications
- Knowledge of cloud platforms (AWS, Azure, or GCP) for ML deployment
🛠️ Required Skills
- Statistical modelling
- Machine learning techniques
- MLOps tools and frameworks (MLflow, Kubeflow)
- PySpark
- Distributed data processing
- Python programming
- Pandas
- NumPy
- Scikit-learn
- TensorFlow
- PyTorch
- Problem-solving skills
- Collaborative environment skills
- Exploratory data analysis
- Feature engineering
- Model optimization
- Data visualization
- Software engineering practices
🎁 Benefits & Perks
- Access to one of the industry's largest digital learning platforms with 250,000+ courses and numerous certifications
- Inclusive environment where people of all backgrounds feel encouraged and have a sense of belonging
- Opportunity to work on cutting-edge projects in tech and engineering with industry leaders
- Work on solutions to overcome societal and environmental challenges
- Green office campuses in India running on 100% renewable electricity with solar plants and Battery Energy Storage Solution (BESS) in Noida and Mumbai
- Chance to make a difference every day
Locations
- Hyderabad, India
Salary
Estimated Salary Rangemedium confidence
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
- Statistical modellingintermediate
- Machine learning techniquesintermediate
- MLOps tools and frameworks (MLflow, Kubeflow)intermediate
- PySparkintermediate
- Distributed data processingintermediate
- Python programmingintermediate
- Pandasintermediate
- NumPyintermediate
- Scikit-learnintermediate
- TensorFlowintermediate
- PyTorchintermediate
- Problem-solving skillsintermediate
- Collaborative environment skillsintermediate
- Exploratory data analysisintermediate
- Feature engineeringintermediate
- Model optimizationintermediate
- Data visualizationintermediate
- Software engineering practicesintermediate
Required Qualifications
- Proven experience as a Data Scientist (experience)
- Strong understanding of statistical modelling and machine learning techniques (experience)
- Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, or similar) (experience)
- Proficiency in PySpark and distributed data processing (experience)
- Strong programming skills in Python (experience)
Preferred Qualifications
- Knowledge of cloud platforms (AWS, Azure, or GCP) for ML deployment (experience)
Responsibilities
- Develop and implement advanced machine learning models and algorithms to solve complex business problems
- Design and maintain end-to-end ML pipelines using MLOps best practices for model deployment and monitoring
- Utilize PySpark for large-scale data processing and transformation
- Collaborate with data engineers and analysts to ensure data quality, integrity, and accessibility
- Perform exploratory data analysis, feature engineering, and model optimization
- Communicate insights and recommendations to stakeholders through clear visualizations and reports
- Apply scientific methods to analyse and solve software engineering problems
- Responsible for the development and application of software engineering practice and knowledge in research, design, development and maintenance
- Exercise original thought and judgement and supervise the technical and administrative work of other software engineers
- Collaborate and act as team player with other software engineers and stakeholders
Benefits
- general: Access to one of the industry's largest digital learning platforms with 250,000+ courses and numerous certifications
- general: Inclusive environment where people of all backgrounds feel encouraged and have a sense of belonging
- general: Opportunity to work on cutting-edge projects in tech and engineering with industry leaders
- general: Work on solutions to overcome societal and environmental challenges
- general: Green office campuses in India running on 100% renewable electricity with solar plants and Battery Energy Storage Solution (BESS) in Noida and Mumbai
- general: Chance to make a difference every day
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Answer 10 quick questions to check your fit for Data Scientist @ Capgemini.
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~2 Minutes
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Data Scientist
Capgemini
Data Scientist
Job Description
Data Scientist
📋 Job Overview
As a Data Scientist at Capgemini Engineering, you will develop and implement advanced machine learning models to solve complex business problems and design end-to-end ML pipelines using MLOps practices. The role involves utilizing PySpark for large-scale data processing, performing exploratory data analysis, feature engineering, and communicating insights to stakeholders. You will collaborate with data engineers and analysts in a dynamic software engineering environment focused on innovation and sustainability.
📍 Location: Hyderabad
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Engineering and RandD Services
🎯 Key Responsibilities
- Develop and implement advanced machine learning models and algorithms to solve complex business problems
- Design and maintain end-to-end ML pipelines using MLOps best practices for model deployment and monitoring
- Utilize PySpark for large-scale data processing and transformation
- Collaborate with data engineers and analysts to ensure data quality, integrity, and accessibility
- Perform exploratory data analysis, feature engineering, and model optimization
- Communicate insights and recommendations to stakeholders through clear visualizations and reports
- Apply scientific methods to analyse and solve software engineering problems
- Responsible for the development and application of software engineering practice and knowledge in research, design, development and maintenance
- Exercise original thought and judgement and supervise the technical and administrative work of other software engineers
- Collaborate and act as team player with other software engineers and stakeholders
✅ Required Qualifications
- Proven experience as a Data Scientist
- Strong understanding of statistical modelling and machine learning techniques
- Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, or similar)
- Proficiency in PySpark and distributed data processing
- Strong programming skills in Python
⭐ Preferred Qualifications
- Knowledge of cloud platforms (AWS, Azure, or GCP) for ML deployment
🛠️ Required Skills
- Statistical modelling
- Machine learning techniques
- MLOps tools and frameworks (MLflow, Kubeflow)
- PySpark
- Distributed data processing
- Python programming
- Pandas
- NumPy
- Scikit-learn
- TensorFlow
- PyTorch
- Problem-solving skills
- Collaborative environment skills
- Exploratory data analysis
- Feature engineering
- Model optimization
- Data visualization
- Software engineering practices
🎁 Benefits & Perks
- Access to one of the industry's largest digital learning platforms with 250,000+ courses and numerous certifications
- Inclusive environment where people of all backgrounds feel encouraged and have a sense of belonging
- Opportunity to work on cutting-edge projects in tech and engineering with industry leaders
- Work on solutions to overcome societal and environmental challenges
- Green office campuses in India running on 100% renewable electricity with solar plants and Battery Energy Storage Solution (BESS) in Noida and Mumbai
- Chance to make a difference every day
Locations
- Hyderabad, India
Salary
Estimated Salary Rangemedium confidence
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
- Statistical modellingintermediate
- Machine learning techniquesintermediate
- MLOps tools and frameworks (MLflow, Kubeflow)intermediate
- PySparkintermediate
- Distributed data processingintermediate
- Python programmingintermediate
- Pandasintermediate
- NumPyintermediate
- Scikit-learnintermediate
- TensorFlowintermediate
- PyTorchintermediate
- Problem-solving skillsintermediate
- Collaborative environment skillsintermediate
- Exploratory data analysisintermediate
- Feature engineeringintermediate
- Model optimizationintermediate
- Data visualizationintermediate
- Software engineering practicesintermediate
Required Qualifications
- Proven experience as a Data Scientist (experience)
- Strong understanding of statistical modelling and machine learning techniques (experience)
- Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, or similar) (experience)
- Proficiency in PySpark and distributed data processing (experience)
- Strong programming skills in Python (experience)
Preferred Qualifications
- Knowledge of cloud platforms (AWS, Azure, or GCP) for ML deployment (experience)
Responsibilities
- Develop and implement advanced machine learning models and algorithms to solve complex business problems
- Design and maintain end-to-end ML pipelines using MLOps best practices for model deployment and monitoring
- Utilize PySpark for large-scale data processing and transformation
- Collaborate with data engineers and analysts to ensure data quality, integrity, and accessibility
- Perform exploratory data analysis, feature engineering, and model optimization
- Communicate insights and recommendations to stakeholders through clear visualizations and reports
- Apply scientific methods to analyse and solve software engineering problems
- Responsible for the development and application of software engineering practice and knowledge in research, design, development and maintenance
- Exercise original thought and judgement and supervise the technical and administrative work of other software engineers
- Collaborate and act as team player with other software engineers and stakeholders
Benefits
- general: Access to one of the industry's largest digital learning platforms with 250,000+ courses and numerous certifications
- general: Inclusive environment where people of all backgrounds feel encouraged and have a sense of belonging
- general: Opportunity to work on cutting-edge projects in tech and engineering with industry leaders
- general: Work on solutions to overcome societal and environmental challenges
- general: Green office campuses in India running on 100% renewable electricity with solar plants and Battery Energy Storage Solution (BESS) in Noida and Mumbai
- general: Chance to make a difference every day
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist @ Capgemini.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs