Data Scientist - Generative AI

Role : Data Scientist

Location : Hyderabad

Working Mode : (5 Days - Work From office) - Mandatory

Employment Type : Full time - Permanent

We are hiring a talented Data Scientist with 5 to 8 years of experience to join our team and develop high-impact, scalable predictive analytics solutions. You will leverage advanced Gen AI, AI/ML to build solutions, build data pipelines, and be part of the productization team responsible for delivering robust solutions for our clients.

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.