Time since we first saw it
Day 30
Similar jobs usually come down between day 7 and day 57.
At Coface, jobs usually come down by about day 34.
From 10,558 similar postings that came down, and 46 of Coface’s. Coming down is not always a hire.
Data Scientist
Bengaluru, Karnataka, India, Karnataka, India
Live, first seen by us 30 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingThis 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.
Design and fully develop solutions that implement AI technologies
Deploy applications and APIs on Docker/Kubernetes, Apache Airflow and the Cloud
Score corporate failure risk by country and extract information from documents and images
Build knowledge graphs from corporate linkages
Keep up with technology watch and share knowledge through team presentations
From the employer’s posting
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:
You design and fully develop solutions that can implement AI technologies
to deploy applications and APIs on Docker/Kubernetes infrastructures, in Apache Airflow and in the Cloud
Score the risk of corporate failure in every country
Build knowledge graphs from corporates linkages
Sharing knowledge through presentations between team members, training and technology watch on dedicated time are all part of the Data Lab's culture.
What you’ll bring
All qualificationsCore experience
- 2+ years of experience as a Data Scientist
- Bachelor's or master's degree in computer science or data science
- Strong Python development skills
Qualification wording
The candidate should have 2+ yrs of experience into Data Scientist
Bachelor’s or master’s degree in computer science ,academic background in Data Science
Strong Python development skills
Education & alternatives
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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 8, 202630 days ago
- Recorded sightings
- 137
- Last seen by us
- Nov 7, 2026
- Employer says posted
- Oct 6, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Coface is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Docker
- Kubernetes
- NoSQL
- Airflow
Where the posting names them
- 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.
- 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.
- 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.
- 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.
Your next step
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Applying through SmartRecruiters
- Uploading your resume fills in the application form for you, so check what it filled before you send.
Already applied? Track this application
Has Coface posted this job before?
Yes. We’ve followed 2 other Data Scientist jobs there since May 2026. 2 came down, usually after about 7 days.
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
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!
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bengaluru, Karnataka, India, Karnataka, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.