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Data Scientist

Coface Verified employer

Full time Hybrid
Experience
2+ years
Location
Bangalore
Work mode
Hybrid
Salary
₹15L – ₹25L a year estimatetypical for IT Jobs in Bangalore, 286 posts
Posted 1 month ago Last checked 17 hr ago

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Role at a glance

You will
  • 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
Experience
2+ years
Education
Bachelor's degree
Must-have skills
DockerGitKubernetesLinuxMachine LearningNatural Language Processing (NLP)
Work mode
Hybrid

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Job description

Location: Bengaluru, Karnataka, India, Karnataka, India
Department: Analyst

Job Description

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

About the role:

This role is open in Mumbai and Bangalore, with the final location depending on the selected candidate. 

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

MAIN RESPONSIBILITIES:

  • 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.

Qualifications

  • Bachelor’s or master’s degree in computer science ,academic background in Data Science: supervised and unsupervised machine learning, natural language processing
  • Must have a background in Computer Science
  • The candidate should have 2+ yrs of experience into Data Scientist
  • 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.

Additional Information

  • Flexible working model after the 1st month
  • Great place to work: central and modern office 
  • Opportunities to learn: 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
  • Health care

Company Description

Our 5,200 experts representing 80+ nationalities in 58 countries are united by a shared purpose: helping companies navigate through uncertainty by empowering them to make the right decisions and trade smarter in a complex world.

With nearly 80 years of global experience, we offer companies a full range of solutions: Trade Credit Insurance, Business Information, Debt Collection, Single Risk insurance, Surety Bonds, Factoring — all driven by a unique data patrimony, cutting-edge technology, innovation and a deep understanding of the global economy.

Joining Coface means being part of a close-knit international organization, where your ideas matter.  We foster a culture of learning, collaboration and inclusion where you are given responsibilities and can see the impact of your actions.

Shape the future of trade with us. Join our Happeners!

Key skills

Required

DockerGitKubernetesLinuxMachine LearningNatural Language Processing (NLP)PythonSQL

Soft skills

Problem Solving

Job market insights

512active Docker jobs in Bangalore
455active Git jobs in Bangalore
729active Kubernetes jobs in Bangalore
₹15L – ₹25L advertised yearly salary for IT Jobs in Bangalore (middle half of 286 posts that show a salary; median ₹20L)
8 more open jobs at Coface

Most IT Jobs posts in Bangalore ask for 3–6 years of experience (41% of 3732 that say).

Hiring most for IT Jobs in Bangalore

  • Bosch Group165 open jobs
  • Trigent Software Private Limited157 open jobs
  • Brillio115 open jobs

Jobs asking for Docker in Bangalore also ask for

  • Kubernetes80%
  • AWS64%
  • CI/CD60%
  • Python58%
  • Microsoft Azure48%

From live job posts on CoreHRx, updated 7 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Data Scientist job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹15L – ₹25L a year (typical for IT Jobs in Bangalore, 286 posts).

How much experience does this job need?

The post asks for 2 Yrs experience.

Where is this job based?

In Bangalore (hybrid).

What kind of job is this?

It is a full time job.

This page helps Indian job seekers prepare for Python interviews for backend, data engineering and data analyst roles, whether you are a fresher facing your first technical round or an experienced developer aiming for a senior position. It has 60 questions in three levels, easy, medium and hard, each with a concise sample answer and, where it helps, runnable Python 3.12 code. Topics include data structures, OOP, generators, decorators, the GIL and concurrency, type hints, testing and performance. Answer each question aloud in your own words first, then compare with the sample answer and run the code to check your understanding.

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