Senior Analyst - Data Science

Title: Senior Analyst - Data Science

Department: Analytics

Location: Gurgaon

Level: Data Scientist 4

Job Type: Permanent

• Design, develop, validate, and deploy machine learning models to address key business challenges.
• Build solutions across classification, forecasting, segmentation, propensity, attribution, and recommendation use cases.
• Evaluate model performance and continuously improve solution effectiveness.

• Analyze large and complex datasets to identify trends, opportunities, and actionable business insights.
• Translate analytical findings into recommendations that influence strategic and operational decisions.
• Present analytical results to business stakeholders in a clear and compelling manner.

• Explore and implement emerging AI and Generative AI technologies to enhance business processes and decision-making.
• Identify opportunities to leverage AI-driven solutions that improve client experience and operational efficiency.
• Support experimentation and innovation across the analytics ecosystem.

• Develop and operationalize machine learning solutions using platforms such as AWS SageMaker, Snowflake, Salesforce, Adobe, and other enterprise technologies.
• Follow MLOps best practices for model deployment, monitoring, governance, and scalability.
• Partner with data engineering teams to improve data accessibility, automation, and solution performance.

• Collaborate closely with business partners, technology teams, and data engineers to understand business requirements and translate them into scalable analytical solutions.
• Manage multiple priorities while ensuring high-quality and timely delivery of projects.
• Drive adoption of analytics solutions by demonstrating measurable business value.

• Contribute to building analytics and AI capabilities across the team.
• Share best practices, mentor junior team members, and support a culture of continuous learning and innovation.
• Stay current with the latest developments in data science, machine learning, cloud analytics, and AI technologies.

• Bachelor's or masters degree in computer science, Engineering, Statistics, Mathematics, Economics, or a related quantitative discipline.
• 5-8 years of experience in Data Science, Machine Learning, Advanced Analytics, or a related field, with a proven track record of delivering end-to-end analytical and machine learning solutions in a business environment.
• Experience leading analytical workstreams, influencing stakeholders, and translating complex business problems into scalable data science solutions.
• Strong proficiency in Python, SQL, and data manipulation techniques.
• Hands-on experience developing and deploying machine learning models using frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Experience developing and operationalizing machine learning solutions using AWS SageMaker and cloud-based analytics environments.
• Strong understanding of predictive modelling, forecasting, attribution modelling, recommender systems, segmentation, and statistical techniques.
• Experience working with structured and unstructured data to generate actionable business insights.
• Excellent problem-solving, analytical thinking, and communication skills.
• Ability to work effectively with business stakeholders, technology teams, and data engineers in a fast-paced environment.

• Experience with Snowflake, Adobe Analytics, Salesforce, or similar enterprise data platforms.
• Familiarity with MLOps concepts, model governance, deployment, and monitoring best practices.
• Exposure to Generative AI, Large Language Models (LLMs), agentic AI frameworks, and emerging AI technologies.
• Experience within financial services, wealth management, asset management, or related industries would be an advantage.
• Degree from a leading engineering, mathematics, economics, analytics, or computer science program preferred.