Data Scientist

Opportunity Description : Data Scientist

Our end client a technology-driven organization at the forefront of digital transformation and biometric-based identity management develops innovative digital identity solutions for businesses across banking, fintech, and e-commerce. The organization provides its teams with opportunities to work on cutting-edge global projects, collaborate across diverse markets, and contribute to the future of secure digital identity management.

They are looking for an experienced Data Scientist with 58 years of experience to develop high-impact and scalable predictive analytics solutions. The role involves leveraging Generative AI, AI/ML, and advanced analytics, building data pipelines, and contributing to the productization of robust, production-ready solutions for global clients. This is a high-impact opportunity for professionals passionate about applying AI and Data Science to real-world digital transformation challenges.

Responsibilities

• Collaborate with business stakeholders, product managers, and engineering teams to translate business requirements into analytical solutions.
• Extract and integrate data from multiple sources through APIs, databases, and file-based interfaces.
• Analyze structured and unstructured data to identify trends, patterns, and actionable business insights.
• Perform data preprocessing, feature engineering, model development, deployment and model evaluation
• Evaluate, fine-tune, and optimize AI/ML models to improve accuracy, performance, scalability, and reliability.
• Develop APIs and services for model deployment and integration with enterprise systems.
• Ensure data quality, governance, security, and compliance throughout the analytics lifecycle.
• Stay current with emerging AI, GenAI, machine learning, and data science technologies and recommend their adoption where appropriate.

Experience & Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• 5 to 8 years of hands-on experience in Data Science, Machine Learning, Predictive Analytics
• Strong proficiency in Python, including experience with data manipulation, statistical analysis, machine learning, and model development using libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch and related frameworks.
• Solid understanding of statistics, probability theory, hypothesis testing, regression analysis, sampling techniques, and experimental design to support data-driven decision making.
• Apply statistical and machine learning techniques to analyze large datasets, identify patterns, build predictive models, and generate actionable business insights.
• Experience with Generative AI technologies, Large Language Models (LLMs)
• Experience working with SQL and NoSQL databases, data warehouses, and big data technologies.
• Familiarity with cloud platforms such as AWS, and containerization technologies such as Docker and Kubernetes.
• Experience in building REST APIs and integrating AI models into production environments.
• Strong understanding of statistics, machine learning algorithms, forecasting techniques, and optimization methods.
• Excellent analytical, problem-solving, and communication skills with the ability to work in cross-functional teams.