267 Scientists jobs in Bengaluru

Python, R, SQL,

predictive

modeling

Python, R, SQL,

predictive

modeling

Python, R, SQL,

predictive

modeling

Python, R, SQL,

predictive

modeling

Python, R, SQL,

predictive

modeling

Python, R, SQL,

predictive

modeling

Python, R, SQL,

predictive

modeling

Python, R, SQL,

predictive

modeling

Python, R, SQL,

predictive

modeling

Requirements

• Frontend Framework: Angular

• ervers : Tomcat, Jetty, JBoss, Nginx, Apache HTTP Server

• T ols : Maven, Log4j 2, JUnit 5, Mockito, Postman, Swagger,

JMeter, Logback

• O : Windows, Linux

• V rsion Control : Git, GitHub

• I E : Eclipse, STS, IntelliJ IDEA

• M ssaging Systems : Apache Kafka

• C oud : AWS, Azure

• D vOps Tools : Docker, Kubernetes, GitLab

• F ontend Framework: Angular

• S rvers : Tomcat, Jetty, JBoss, Nginx, Apache HTTP Server

• T ols : Maven, Log4j 2, JUnit 5, Mockito, Postman, Swagger,

JMeter, Logback

• O : Windows, Linux

• V rsion Control : Git, GitHub

• I E : Eclipse, STS, IntelliJ IDEA

• M ssaging Systems : Apache Kafka

• C oud : AWS, Azure

• D vOps Tools : Docker, Kubernetes, GitLab

• Job Title Data Scientist
• Skills Python R Artificial Intelligence Machine Learning
• Location India
• Experience Total 4 years of experience
• Job Summary
• We are seeking Data Scientists to drive analytics initiatives
• The ideal candidate will possess deep expertise in data science statistical modeling and modern analytical tools with a strong background in Python
• This role involves leading client engagements designing scalable solutions and contributing to organizational excellence through innovation

• Key Responsibilities
• Work on end to end data science engagements from problem definition to solution development
• Design and implement advanced analytical models and process frameworks
• Collaborate with different stakeholders providing domain and technical thought
• Perform Fit Gap analysis and translate business needs into actionable data solutions
• Ensure compliance with release governance and manage incidents using industry standard tools
• Contribute to Unit Organizational initiatives including Centers of Excellence COEs

• Required Skills Experience
• 4 years of relevant in advanced analytics and model development
• 4 years of hands on experience in Python and other open source analytical tools
• Strong expertise in data analytics data handling and statistical programming using modern IT tools
• Understanding of Data Warehousing Business Intelligence and AI based solutions
• Proven experience in Agile methodologies including iterative development and sprint planning
• Experience working in highly regulated environments ensuring data governance and compliance
• Experience with machine learning frameworks e
• g
• scikit learn TensorFlow PyTorch
• Exposure to cloud platforms AWS Azure GCP
• Familiarity with release governance processes and incident management tools e
• g
• ServiceNow JIRA

Technology->Data Science->Machine Learning

Proven experience as a Data Scientist or similar role with relevant experience of at least 4 years and total experience 6-8 years.

• Technical expertiseregarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages (Business Objects and likewise), databases, programming in ETL frameworks
• Experience with data movement and management in the Cloud utilizing a combination of Azure or AWS features
• Hands on experience in data visualization tools Power BI preferred
• Solid understanding of machine learning
• Knowledge of data management and visualization techniques
• A knack for statistical analysis and predictive modeling
• Good knowledge of Python and Matlab
• Experience with SQL and NoSQL databases including ability to write complex queries and procedures

Location : HSR layout - Banglore

Ready to shape the future of work?

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. 

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. 

Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook. 

Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience!

We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals.

Responsibilities • Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making.

• Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc.

• Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations.

• Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed.

• Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones.

• Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth.

Qualifications we seek in you:

Minimum Qualifications• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.

• Experience in data science, machine learning, AI applications, and generative AI modelling.

• Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks.

• Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc.

• Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark.

• Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations.

• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders.

Preferred Qualifications/ skills• Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP.

• Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance

• Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.

Why join Genpact?

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. 

Let’s build tomorrow together. 

Ready to shape the future of work?

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. 

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. 

Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook. 

Inviting applications for the role of Principal Consultant-Data Scientists with AI and Generative Model experience!

We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals.

Responsibilities • Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making.

• Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc.

• Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations.

• Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed.

• Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones.

• Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth.

Qualifications we seek in you:

Minimum Qualifications• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.

• Experience in data science, machine learning, AI applications, and generative AI modelling.

• Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks.

• Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc.

• Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark.

• Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations.

• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders.

Preferred Qualifications/ skills• Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP.

• Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance

• Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.

Why join Genpact?

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. 

Let’s build tomorrow together. 

Ready to shape the future of work?

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. 

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. 

Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook.

Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience!We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals.Responsibilities• Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making.• Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc.• Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations.• Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed.• Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones.• Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth.Qualifications we seek in you:

Minimum Qualifications• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.• experience in data science, machine learning, AI applications, and generative AI modeling.• Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks.• Proficient in statistical modeling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc.• Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark.• Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations.• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders.Preferred Qualifications/ skills• Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP.• Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance• Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.

Why join Genpact?

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. 

Let’s build tomorrow together. 

Ready to shape the future of work?

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. 

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. 

Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook. 

Inviting applications for the role of Senior Principal Consultant-Data Scientists with AI and Generative Model experience!

We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals.

Responsibilities • Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making.

• Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc.

• Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations.

• Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed.

• Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones.

• Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth.

Qualifications we seek in you:

Minimum Qualifications• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.

• Experience in data science, machine learning, AI applications, and generative AI modelling.

• Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks.

• Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc.

• Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark.

• Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations.

• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders.

Preferred Qualifications/ skills• Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP.

• Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance

• Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.

Why join Genpact?

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. 

Let’s build tomorrow together.