Societe Generale Global Solution Centre
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Jobs at Societe Generale Global Solution Centre
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Data Science
Python
R Programming
Machine Learning (ML)• 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.
Angular (2+)
MongoDB
Java
Spring BootStrong 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.
Java
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Incubyte is an AI-first software development agency built on the principles of software craftsmanship—where how we build is just as important as what we build. We partner with organizations across stages, from enterprises looking to scale and modernize to early-stage founders bringing new ideas to life.
At Incubyte, AI is deeply integrated across the software development lifecycle to drive speed, efficiency, and smarter outcomes. Guided by Software Craftsmanship values and Extreme Programming practices, we combine high velocity with disciplined engineering to deliver reliable, high-impact solutions.
We don’t just build software—we incubate dedicated engineering teams. From designing systems to shaping team structures and organizational strategy, we enable our clients to launch and scale products that are relevant today and resilient for the future.
Whether you’re scaling an existing product, building from scratch, or optimizing manual processes, we help you move faster with confidence:
- Scale and modernize your product
- Launch quickly and iterate continuously
- Automate processes for non-linear growth
- Build systems that are stable, predictable, and measurable
Our approach is rooted in ownership. As a DevOps-driven organization, our engineers take responsibility for the entire lifecycle—from development to release—ensuring quality at every step.
Founded by product professionals, we bring a strong product mindset into services. We’re driven by curiosity, continuous learning, and a passion for building great software the right way.
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