2563 Data Scientists jobs in Karnataka

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 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 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. 

Job Tittle- Big Data Architect

Location - Bangalore/ Pune

Experience: 10Yrs to 16 Years

Experienced profile with strong integration data architecture, data modeling, database design, proficient in SQL and familiar with at least one cloud platforms. Good understanding of data integration and management tools (MuleSoft/IBM Sterling Integrator/Talend/Informatica.) Knowledge of ETL, Data Warehousing and Big Data technologies

Skills Requirements:

• Strong organizational and communication skills.
• Work with Client Architect, Drive Data architecture related client workshops, internal meetings, proposals etc.
• Strong understanding of NiFi architecture and components
• Experience with data formats like JSON, XML, and Avro
• Knowledge of data protocols like HTTP, TCP, and Kafka
• Coach and create a Data strategy, vision for the larger team, provide subject matter training
• Data governance principles and data quality including database design, data modeling and Cloud architecture
• Familiarity with data governance and security best practices
• Knowledge of containerization and orchestration (Docker and Kubernetes)

Responsibilities :

• High level Designs, data architecture, data pipelines for Apache NiFi, AI-NEXT platform
• Ensures database performance, data quality, integrity, and security
• Guide team for solution implementation
• Partner with Internal Product architect team, engineering team, security team etc.
• Support pre-sales team for Data Solution
• Optimize and troubleshoot NiFi workflows for performance, scalability, and reliability

Collaborate with cross-functional teams to integrate NiFi with other systems including Databases, API and cloud services and other backend apps

Job Description:

Experience in working on Spark framework, good understanding of core concepts, optimizations, and best practices

Good hands-on experience in writing code in PySpark, should understand design principles and OOPS

Good experience in writing complex queries to derive business critical insights

Hands-on experience on Stream data processing

Understanding of Data Lake vs Data Warehousing concept

Knowledge on Machin learning would be an added advantag

Experience in NoSQL Technologies – MongoDB, Dynamo DB

Good understanding of test driven development

Flexible to learn new technologies

Roles & Responsibilities:

Design and implement solutions for problems arising out of large-scale data processing

Attend/drive various architectural, design and status calls with multiple stakeholders

Ensure end-to-end ownership of all tasks being aligned including development, testing, deployment and support

Design, build & maintain efficient, reusable & reliable code

Test implementation, troubleshoot & correct problems

Capable of working as an individual contributor and within team too

Ensure high quality software development with complete documentation and traceability

Fulfil organizational responsibilities (sharing knowledge & experience with other teams/ groups)

Job Description

** LOOKING FOR IMMEDIATE JOINERS ONLY**

Qualification

Degree – Graduates/Postgraduate in CSE or related field

Job Descriptions for Big data or Cloud Engineer

Position Summary:

We are looking for candidates with hands on experience in Big Data or Cloud Technologies.

Must have technical Skills

• 3-6 Years of experience
• Expertize and hands-on experience on Python – Must Have
• Expertize knowledge on SparkQL/Spark Dataframe – Must Have
• Good knowledge of SQL – Good to Have
• Good knowledge of Shell script – Good to Have
• Good Knowledge of one of the Workflow engine like Oozie, Autosys – Good to Have
• Good knowledge of Agile Development– Good to Have
• Good knowledge of Cloud- Good to Have
• Passionate about exploring new technologies – Good to Have
• Automation approach - – Good to Have

Roles & Responsibilities

Selected candidate will work on Data Warehouse modernization projects and will responsible for the following activities.

• Develop programs/scripts in Python/Java + SparkSQL/Spark Dataframe or Python/Java + Cloud native SQL like RedshiftSQL/SnowSQL etc.
• Validation of scripts
• Performance tuning
• Data ingestion from source to target platform
• Job orchestration