Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Description
Role Overview
Capgemini Singapore is seeking a skilled and innovative Data Scientist (GenAI). This role involves developing, training, deploying, and managing data quality monitoring models using machine learning (ML) and generative AI (GenAI). The ideal candidate will bring a continuous improvement mindset and work autonomously while adhering to Agile development principles.
Key Responsibilities
- Identify and engineer relevant features from transaction data to enhance model performance.
- Apply feature selection and dimensionality reduction techniques.
- Develop, train, and evaluate ML models using transaction data.
- Optimize models through cross-validation and hyperparameter tuning.
- Monitor and maintain model performance, addressing data drift and degradation.
- Integrate GenAI tools to improve data monitoring efficiency and reduce development time.
- Design and refine prompts for large language models (LLMs).
- Collaborate with cross-functional teams including data engineers, developers, and analysts.
- Communicate findings and insights effectively to stakeholders.
- Maintain thorough documentation of processes, models, and methodologies. Stay current with advancements in ML, GenAI, and data quality monitoring.
Qualifications and Experience
- Minimum 8 years of relevant experience.
- Proficiency in Python, R, SQL, Java or Scala.
- Strong foundation in statistical methods and data analysis.
- Experience with ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Expertise in time series forecasting and data visualization (e.g., Matplotlib, Seaborn, Tableau).
- Familiarity with big data tools (e.g., Hadoop, Spark) and database systems (e.g., MySQL, MongoDB).
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Knowledge of AWS services (e.g., Bedrock, SageMaker).
- Functional experience in capital markets, especially in Market Risk or Front Office operations.
- Understanding of financial products (e.g., Treasury, FX, Credit, IRD, Bonds).
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
