{"id":1947979,"url":"https://alion.io/job/coface-data-scientist","title":"Data Scientist","company":{"id":4911,"name":"Coface","domain":"coface.com","url":"https://alion.io/company/coface","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":44,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-08T05:49:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12500,"max_usd":30000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-06T07:12:46Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-08T22:18:23Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"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.\nWith 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.\nJoining 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.\nShape the future of trade with us. Join our Happeners!\n MISSION :\nYou join Coface's Data Lab team and work mostly in pairs or in small teams on innovative projects.\nYou design and fully develop solutions that can implement AI technologies.\nYou contribute to technology watch\nAbout the role:\nThis role is open in Mumbai and Bangalore, with the final location depending on the selected candidate.\nThe use cases for data science are varied and lead to concrete implementations. Here are some examples:\nScore the risk of corporate failure in every country\nExtract information from images, documents and web scrapping\nBuild knowledge graphs from corporates linkages\nSpecialize search engine and language models in identifying companies\nGenerate visual and textual explanations for AI model predictions\nMAIN RESPONSIBILITIES:\nThe Data Lab brings together Data Science and Software engineering skills to develop and deploy solutions that improve the company's processes, products and services.\nThe 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.\nSharing knowledge through presentations between team members, training and technology watch on dedicated time are all part of the Data Lab's culture.\n Bachelor’s or master’s degree in computer science ,academic background in Data Science: supervised and unsupervised machine learning, natural language processing\nMust have a background in Computer Science\nThe candidate should have 2+ yrs of experience into Data Scientist\nHands-on experience in Machine Learning and Natural Language Processing (NLP)\nStrong Python development skills, with a focus on writing high-quality, maintainable code.\nFamiliar with code reviews and continuous integration (CI) best practices.\nExperience with Docker and Kubernetes for containerization and orchestration.\nExposure to cloud-based applications and deployment workflows.\nProficient in SQL and NoSQL databases, including document and graph-based systems.\nComfortable working in Linux environments and using Git for version control.\nDemonstrates autonomy, curiosity, and rigor in problem-solving and development.\n Flexible working model after the 1st month\nGreat place to work: central and modern office \nOpportunities to learn: budget every year for training, languages platform, e-learning platform, dedicated development program…\n Career opportunities: Opportunity to build your career (both locally and internationally) in a large global company, one of the world leaders in its field\n Health care","description_format":"text","description_chars":3426,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Flexible schedule"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Property & Casualty Insurance","Debt Collection & Recovery","Credit Bureaus & Rating Agencies"],"lifecycle":[{"event":"open","at":"2026-10-06T08:12:36Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely 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