Data Science Consultant

Overview:

The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights, driving business growth and operational efficiency. We specialize in leveraging advanced AI and analytics to create innovative solutions that address complex business challenges. Our team is dedicated to pioneering the future of data-driven decision-making, enabling organizations to unlock new opportunities and achieve sustainable success. Join us to be part of a dynamic team that is revolutionizing the way businesses harness the power of data and AI. At Infosys DNA, you'll have the opportunity to work with cutting-edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business. We are committed to fostering a culture of continuous learning and growth, ensuring that our team members thrive in a dynamic and supportive environment. If you're passionate about AI and eager to make a significant impact, the Infosys DNA unit is the perfect place for you to grow and excel.

Roles and Responsibilities:

• Develop data preparation tasks while identifying patterns or anomalies.
• Ensure data readiness for advanced modeling.
• Develop models for complex use cases, including forecasting models and LLM-based solutions, refine algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready solutions.
• Conduct testing and optimize algorithms for performance, reliability, and scalability, while providing guidance to team members on best practices.
• Design and develop predictive models and data-driven analyses to address business challenges.
• Build, evaluate, and deploy models, standardize code, and contribute to knowledge management.
• Leverage SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, enhance analytics including LLMs, and create innovative, cost-effective solutions.
• Define analytics problems for projects; execute visualization, analysis, and predictive modeling under guidance.
• Proactively maintain models and implement improvements for accuracy and reliability.
• Apply governance controls to mitigate risks and ensure compliance.
• Analyze performance trends, recommend improvements, and document discrepancies for escalation.
• Maintain comprehensive documentation standards and participate in knowledge transfer sessions.
• Participate in discussions with stakeholders to refine requirements, provide insights, and guide implementation of models.
• Apply the predefined quality measurement framework at an individual task level in the project.
• Deploy complex analytics tools or multi-system integrations while validating deployment success.
• Participate in developing scripts or templates for repeated deployment tasks.
• Contribute to analytic solutions, IP asset creation, and training initiatives.
• Contribute to thought leadership such as papers, innovative non-ML, ML, deep learning, or LLM models, and proofs of concept.
• Participate in and deliver analytics training while contributing to content creation.
• Provide input for segment- and unit-level business plans.

Contribution to the Team:

• Deliver scalable, high-quality analytics solutions aligned to business needs.
• Optimize, deploy, and improve model performance.
• Drive innovation through advanced analytics, automation, and thought leadership.
• Enable team growth through knowledge sharing, training, and standardization.
• Support business planning with data-driven insights.

Required Skill and Experience:

• Strong programming skills in Python.
• Hands-on experience with AI/ML frameworks: TensorFlow, PyTorch, and LangChain.
• Expertise in Generative AI, including RAG and prompt engineering.
• Data science and machine learning background.
• Proficiency with the Microsoft Azure AI ecosystem.

Preferred Skill and Experience:

• Experience building Copilot or AI-powered enterprise assistants.
• Exposure to multimodal AI systems.
• Knowledge of LLM fine-tuning and embeddings.
• Knowledge of AI agents and agentic frameworks.
• Experience working in large-scale enterprise environments.

Additional Required Qualifications:

• Bachelor's degree or foreign equivalent required from an accredited institution. Three years of progressive experience in the specialty may be considered in lieu of every year of education.
• This position may require relocation and/or travel to the work or project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.

Benefits:

Along with competitive pay, full-time Infosys employees are eligible for the following benefits:

• Medical, dental, vision, and life insurance.
• Long-term and short-term disability.
• Health and dependent care reimbursement accounts.
• Accident, critical illness, hospital indemnity, and legal insurance.
• 401(k) plan and contributions dependent on salary level.
• Paid holidays and paid time off.