
Societe Generale Global Solution Centre
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Jobs at Societe Generale Global Solution Centre
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• Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc.
• Experience in selecting features, building and optimizing classifiers using machine learning techniques.
• Prior experience with data visualization tools, such as D3.js, GGplot, etc..
• Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc..
• Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders.
• Basic understanding of the banking industry is value add
Develop, process, cleanse and enhance data collection procedures from multiple data sources.
• Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.
• Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.
• Work closely with product teams to implement algorithms with Python and/or R.
• Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.
• Facilitate integration with enterprise applications using APIs to enrich implementations
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Strong experience on core Java (Version >=1.8 )
Strong experience on Spring ecosystem (Core, MVC, data, JPA, transaction management, security, AOP, Batch & Boot). Comfortable performing integration tests in Spring context.
Strong experience on JDBC and DB concepts.
Experience of TDD/BDD approach and prior experience working with CI/CD tools (Maven, Git, jenkins)
Strong experience on ORM (hibernate) and PL/SQL procedures
Knowledge of some of UI latest languages / frameworks ( Html5, Angular 4+)
Knowledge of SOA/Microservices (REST, Soap) and its challenges
Strong knowledge on APP server (Tomcat, Weblogic)
Strong knowledge on Microservices
Exposure on Digital stack
- UX/UI
- API
- Machine Learning
- Big Data
- Cloud/Docker/IaaS/PaaS
Knowledge on Java Swing
Experience delivering sound development, testing, implementation, deployment and support strategies in complex distributed environments.
Knowledge on production monitoring tools.
Good experience in leading change within a team, especially around testing and quality practices.
Team player, who relentlessly involves others and shares knowledge with them
Should have experience of participant in design reviews and code reviews.
Curiosity in all the latest trends and ready to do POCs with new technical stack
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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We are a fast growing virtual & hybrid events and engagement platform. Gevme has already powered hundreds of thousands of events around the world for clients like Facebook, Netflix, Starbucks, Forbes, MasterCard, Citibank, Google, Singapore Government etc.
We are a SAAS product company with a strong engineering and family culture; we are always looking for new ways to enhance the event experience and empower efficient event management. We’re on a mission to groom the next generation of event technology thought leaders as we grow.
Join us if you want to become part of a vibrant and fast moving product company that's on a mission to connect people around the world through events.
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Pendo is a leading product experience and software analytics platform that helps companies understand how users interact with their software and improve those experiences. It operates in the product analytics and digital adoption space, enabling organizations to combine analytics, in-app guidance, and user feedback in one unified platform.
Pendo – Key Highlights
- Founded in 2013, headquartered in Raleigh, North Carolina
- Serves 14,000+ companies globally
- Processes 20B+ daily events and supports 1B+ users
- 850+ employees across global offices
- Raised $350M+ total funding from investors like General Atlantic, Tiger Global, and Sapphire Ventures
Chisel was acquired by Pendo in 2026, marking a key milestone in its journey. The acquisition strengthens Pendo’s push into AI-driven product experience, with Chisel’s agentic capabilities becoming a core part of Pendo’s broader platform vision.
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At its core, Chisel functions as an AI PM Agent, automating workflows like PRDs, research, and feedback analysis - allowing teams to focus on strategy, prioritization, and product outcomes.
About Chisel
Chisel is a lean, globally distributed team with presence across the US and India. The team operates at the intersection of AI, product management, and enterprise SaaS, with a strong emphasis on ownership, speed, and building for real-world product teams at scale. Post-acquisition, the team is now part of Pendo’s broader organization.
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- Acquired by Pendo (2026) to accelerate AI innovation in product experience
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