8,611 Datascientist jobs in India

Dear Connection!

find the below mention JD for the skill

Job Description

1Role - Senior Product Engineer (Designer)

2Required Technical Skill Set - Data Science AI/ML , Java, Python, Generative AI, Computer vision, NLP

3Desired Experience Range - 8-10 Years Hands On Experience in Data Science AI/ML , Java, Python, Generative AI, Computer vision, NLP

4Location of Requirement - India - Bhubaneswar

Competencies Required (Technical/Behavioral Competency)

Essentials

• Data Science AI/ML ,
• Java
• Python
• Generative AI
• Computer vision
• NLP

Desirable

• Exposure to Product Development

Sl. No.

Responsibility of / Expectations from the Role

1 Design, and deploy large-scale AI/ML models(Classification, Regression and Time Series models), Simulation, Optimization and Generative AI related solutions

2 Design Generative AI, LLMs, and deep learning technologies

Type

Details of The Role (For Candidate Briefing)

Reporting To Which Role

Product Engineering Lead

Size of the Team, if any Reporting to this Role

5

On-site Opportunity

N/A

Career Path & Unique Selling Proposition (USP) of The Role

• Develop as a Product Architect
• Hands On exposure to global customers in next generational digital transformation
• Work with a global team of industry experts and thought leaders

Details of The Project (A short Briefing on the Project may be attached with this document for candidate- briefing). It may be shared with external stakeholders like job-agencies etc.

The Digital Software and Solutions Group in TCS is partnering with customers in leading Digital Transformation initiatives across the domains of Customer Intelligence, Digital Commerce and Intelligent Infrastructure (IoT) . The group is focused on bringing industry focused pre-integrated software that brings together the disruptive technologies of Big Data Analytics, Mobility, Social and Cloud in order to accelerate Digital Transformation Initiatives in order to increase organizational efficiencies and more importantly how companies will be engaging with their customers.

This role is for Product Engineering team within the DS&S unit.

About the company:

Making Trade Happen

Coface ( ) is a leading global player in credit insurance and risk management helping companies to secure their trade activities worldwide. Coface is also a recognized expert in corporate information, bonding, political risk, debt collection and factoring.

Coface is a team of 4,500 people of 78 nationalities across nearly 60 countries, all sharing a corporate culture across the world. Together, we work towards one objective: facilitating trade by helping our 50,000 corporate clients develop their businesses.

With 75 years of experience, Coface is a leader in the credit insurance and risk management market. We have also developed a range of other value-added services, including factoring, debt collection, Single Risk insurance, bonding, and information services.

As a close-knit, international organization at the core of the global economy, Coface offers an enriching work experience on several levels: relational, professional, and cultural.

Every day, our teams are making trade happen. Join us!

Ideal Candidate Profile:

• Must have a background in Computer Science
• Hands-on experience in Machine Learning and Natural Language Processing (NLP)
• Strong Python development skills , with a focus on writing high-quality, maintainable code.
• Familiar with code reviews and continuous integration (CI) best practices.
• Experience with Docker and Kubernetes for containerization and orchestration.
• Exposure to cloud-based applications and deployment workflows.
• Proficient in SQL and NoSQL databases , including document and graph-based systems.
• Comfortable working in Linux environments and using Git for version control.
• Demonstrates autonomy , curiosity , and rigor in problem-solving and development.

Mission:

• You join Coface's Data Lab team and work mostly in pairs or in small teams on innovative projects.
• You design and fully develop solutions that can implement AI technologies.
• You contribute to technology watch

The Job description:

• The Data Lab brings together Data Science and Software engineering skills to develop and deploy solutions that improve the company's processes, products and services.
• The team seeks to make use of AI and data science techniques and to implement development best practices to deploy applications and APIs on Docker/Kubernetes infrastructures, in Apache Airflow and in the Cloud.
• Sharing knowledge through presentations between team members, training and technology watch on dedicated time are all part of the Data Lab's culture.

About role:

The use cases for data science are varied and lead to concrete implementations. Here are some examples:

• Score the risk of corporate failure in every country
• Extract information from images, documents and web scrapping
• Build knowledge graphs from corporates linkages
• Specialize search engine and language models in identifying companies
• Generate visual and textual explanations for AI model predictions

Key Qualifications & Experience:

• Bachelor’s or master’s degree in computer science ,academic background in Data Science: supervised and unsupervised machine learning, natural language processing…
• Min 2 to 5 years' experience in Python application development with high quality standards and implementation of code reviews and continuous integration best practices.
• Experience of Docker/Kubernetes deployment and cloud applications desirable
• Use of Linux and Git
• Practice of SQL and experience with NoSQL databases (document, graph)
• Autonomy, curiosity, rigor

What can we offer you?

• Flexible working model: up to 3days of home office per week after the 1st month
• Opportunities to learn: 450Euro budget every year for training, languages platform, e-learning platform, dedicated development program…
• Career opportunities: Opportunity to build your career (both locally and internationally) in a large global company, one of the world leaders in its field

Diversity, Equity & Inclusion :

Coface aims to be a leader in Diversity, Equity, and Inclusion within the Trade Credit-Insurance industry. We are committed to creating an environment where every employee can thrive, fostering a culture of belonging and fairness. By attracting top talent from diverse backgrounds, we strive to be a model for an inclusive employee experience.

As an equal opportunity employer, Coface welcomes all qualified applicants without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability, or any other legally protected characteristics.

About the company:

Making Trade Happen

Coface ( ) is a leading global player in credit insurance and risk management helping companies to secure their trade activities worldwide. Coface is also a recognized expert in corporate information, bonding, political risk, debt collection and factoring.

Coface is a team of 4,500 people of 78 nationalities across nearly 60 countries, all sharing a corporate culture across the world. Together, we work towards one objective: facilitating trade by helping our 50,000 corporate clients develop their businesses.

With 75 years of experience, Coface is a leader in the credit insurance and risk management market. We have also developed a range of other value-added services, including factoring, debt collection, Single Risk insurance, bonding, and information services.

As a close-knit, international organization at the core of the global economy, Coface offers an enriching work experience on several levels: relational, professional, and cultural.

Every day, our teams are making trade happen. Join us!

Ideal Candidate Profile:

• Must have a background in Computer Science
• Hands-on experience in Machine Learning and Natural Language Processing (NLP)
• Strong Python development skills , with a focus on writing high-quality, maintainable code.
• Familiar with code reviews and continuous integration (CI) best practices.
• Experience with Docker and Kubernetes for containerization and orchestration.
• Exposure to cloud-based applications and deployment workflows.
• Proficient in SQL and NoSQL databases , including document and graph-based systems.
• Comfortable working in Linux environments and using Git for version control.
• Demonstrates autonomy , curiosity , and rigor in problem-solving and development.

Mission:

• You join Coface's Data Lab team and work mostly in pairs or in small teams on innovative projects.
• You design and fully develop solutions that can implement AI technologies.
• You contribute to technology watch

The Job description:

• The Data Lab brings together Data Science and Software engineering skills to develop and deploy solutions that improve the company's processes, products and services.
• The team seeks to make use of AI and data science techniques and to implement development best practices to deploy applications and APIs on Docker/Kubernetes infrastructures, in Apache Airflow and in the Cloud.
• Sharing knowledge through presentations between team members, training and technology watch on dedicated time are all part of the Data Lab's culture.

About role:

The use cases for data science are varied and lead to concrete implementations. Here are some examples:

• Score the risk of corporate failure in every country
• Extract information from images, documents and web scrapping
• Build knowledge graphs from corporates linkages
• Specialize search engine and language models in identifying companies
• Generate visual and textual explanations for AI model predictions

Key Qualifications & Experience:

• Bachelor’s or master’s degree in computer science ,academic background in Data Science: supervised and unsupervised machine learning, natural language processing…
• Min 2 to 5 years' experience in Python application development with high quality standards and implementation of code reviews and continuous integration best practices.
• Experience of Docker/Kubernetes deployment and cloud applications desirable
• Use of Linux and Git
• Practice of SQL and experience with NoSQL databases (document, graph)
• Autonomy, curiosity, rigor

What can we offer you?

• Flexible working model: up to 3days of home office per week after the 1st month
• Opportunities to learn: 450Euro budget every year for training, languages platform, e-learning platform, dedicated development program…
• Career opportunities: Opportunity to build your career (both locally and internationally) in a large global company, one of the world leaders in its field

Diversity, Equity & Inclusion :

Coface aims to be a leader in Diversity, Equity, and Inclusion within the Trade Credit-Insurance industry. We are committed to creating an environment where every employee can thrive, fostering a culture of belonging and fairness. By attracting top talent from diverse backgrounds, we strive to be a model for an inclusive employee experience.

As an equal opportunity employer, Coface welcomes all qualified applicants without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability, or any other legally protected characteristics.

Dear Connection!

find the below mention JD for the skill

Job Description

1Role - Senior Product Engineer (Designer)

2Required Technical Skill Set - Data Science AI/ML , Java, Python, Generative AI, Computer vision, NLP

3Desired Experience Range - 8-10 Years Hands On Experience in Data Science AI/ML , Java, Python, Generative AI, Computer vision, NLP

4Location of Requirement - India - Bhubaneswar

Competencies Required (Technical/Behavioral Competency)

Essentials

• Data Science AI/ML ,
• Java
• Python
• Generative AI
• Computer vision
• NLP

Desirable

• Exposure to Product Development

Sl. No.

Responsibility of / Expectations from the Role

1 Design, and deploy large-scale AI/ML models(Classification, Regression and Time Series models), Simulation, Optimization and Generative AI related solutions

2 Design Generative AI, LLMs, and deep learning technologies

Type

Details of The Role (For Candidate Briefing)

Reporting To Which Role

Product Engineering Lead

Size of the Team, if any Reporting to this Role

5

On-site Opportunity

N/A

Career Path & Unique Selling Proposition (USP) of The Role

• Develop as a Product Architect
• Hands On exposure to global customers in next generational digital transformation
• Work with a global team of industry experts and thought leaders

Details of The Project (A short Briefing on the Project may be attached with this document for candidate- briefing). It may be shared with external stakeholders like job-agencies etc.

The Digital Software and Solutions Group in TCS is partnering with customers in leading Digital Transformation initiatives across the domains of Customer Intelligence, Digital Commerce and Intelligent Infrastructure (IoT) . The group is focused on bringing industry focused pre-integrated software that brings together the disruptive technologies of Big Data Analytics, Mobility, Social and Cloud in order to accelerate Digital Transformation Initiatives in order to increase organizational efficiencies and more importantly how companies will be engaging with their customers.

This role is for Product Engineering team within the DS&S unit.

Company Overview

GOVIAFLY CARGO AND LOGISTICS PRIVATE LIMITED is a prominent player in the transportation, logistics, supply chain, and storage industry. Headquartered in Bangalore, we are dedicated to delivering exceptional logistical solutions. With a dynamic team size of 11-50 employees, we specialize in offering comprehensive cargo and logistics services, ensuring efficiency and reliability in each facet of our business. Visit our website at viaflylogistics.com to learn more about our services.

Job Overview

We are seeking a highly motivated Data Science fresher to join GOVIAFLY CARGO AND LOGISTICS PRIVATE LIMITED based in Bangalore Urban. This is a full-time position ideal for candidates with 0 to 1 year of work experience. The successful candidate will play a crucial role in analyzing and interpreting complex data sets to help drive strategic decision-making within the company. Must possess a strong ability in data visualization as an essential skill.

Qualifications and Skills

• Proficiency in data cleaning techniques to ensure data quality and accuracy for reliable insights.
• Strong knowledge of statistical analysis methods to interpret data effectively and draw meaningful conclusions.
• Basic understanding of machine learning principles and algorithms to aid in data-driven decision making.
• Experience with payroll processing, reflecting an understanding of financial data management.
• Data visualization skills to communicate data insights effectively. (Mandatory skill)
• Ability to work independently and collaboratively within a team to achieve common objectives.
• Strong problem-solving skills to address complex data challenges and provide actionable recommendations.
• Excellent communication skills, both written and verbal, to present data findings clearly.

Roles and Responsibilities

• Analyze large datasets to discover trends and patterns that support business objectives.
• Collaborate with team members to understand data requirements and design analytical solutions.
• Develop and implement data models to optimize business processes and improve operational efficiency.
• Create intuitive data visualizations and dashboards to present insights to stakeholders.
• Conduct statistical analysis to evaluate the impact of business strategies and initiatives.
• Support the companys data-driven culture by promoting and educating team members on data importance.
• Assist in the automation of data processing tasks to enhance efficiency and reduce manual intervention.
• Stay updated on industry trends and advancements in data science to apply best practices.