About the Company: 

A premier global bank, our organization is dedicated to advancing the field of financial services through innovation and technology. We serve a diverse clientele worldwide and are committed to excellence in all aspects of banking.

Job Overview:

We are looking for a Data Scientist with a strong focus on conducting proof of concept (POC) projects, production deployment, and building CI/CD pipelines.

The ideal candidates will be skilled in implementing machine learning models with popular ML frameworks and will play a crucial role in analyzing extensive payment data from our data lake.

Key Responsibilities: 

• Conducting POCs to explore new data-driven opportunities and solutions.
• Developing and deploying models into production environments.
• Building, Deploying, and maintaining CI/CD pipelines for data science projects.
• Analysing large datasets from the data lake, especially focusing on payment data.
• Writing robust code using Scikit-learn, TensorFlow, Keras, and PyTorch.
• Presenting findings and models to stakeholders and team members.
• Ensuring compliance with data governance and security standards.
• Ability to lead business problem solving and functional flow discussions with the client on their business problem.

Required Qualifications:

• Bachelor’s or master’s degree in data science, Computer Science, Statistics, or a related field from Tier 1 or Tier 2 colleges.
• 2-5 years of experience in a data science role.
• Proven experience in AI/ML development (e.g., NumPy, pandas, TensorFlow, Keras, PyTorch, Scikit-learn)
• NLP, Journey Analytics, segmentation, propensity models, Customer analytics.
• Familiarity with deployment of machine learning models into production, ensuring reliability, scalability, and the ability to roll back in case of issues.
• Experience with CI/CD pipelines and automation tools (e.g., GitHub Actions) and containerization technologies (e.g., Docker).
• Strong analytical skills with the ability to work with large datasets.
• Excellent problem-solving abilities and communication skills.

Preferred Skills:

• Experience in the financial services industry.
• Knowledge of data visualization tools such as Tableau or Power BI.
• Understanding of machine learning algorithms and predictive modelling.

Benefits:

• Competitive salary package and benefits.
• Opportunity to work in a globally recognized banking institution.
• Access to the latest technologies and tools in data science.
• Professional development and career growth opportunities.