Role & responsibilities

Data Scientist Infosys

Experience: 5–20 Years

Location: PAN India

Employment Type: Full-Time

Work Mode: Hybrid / On-site, based on project requirements

We are looking for experienced Data Scientists to join our team and work on large-scale AI, Machine Learning, and advanced analytics projects for enterprise clients. The role involves developing data-driven solutions, building predictive models, applying statistical techniques, and leveraging contemporary AI/ML technologies to solve complex business problems.

Key Responsibilities

- Design, develop, and deploy Machine Learning and Data Science models for real-world business problems.
- Perform data exploration, data cleaning, feature engineering, and statistical analysis.
- Build and optimize predictive, classification, regression, clustering, and recommendation models.
- Work with structured and unstructured datasets and identify meaningful business insights.
- Develop and implement end-to-end ML pipelines from data preparation to model deployment.
- Apply Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, and/or PyTorch for data science solutions.
- Work with large datasets using Spark/PySpark and cloud-based data platforms.
- Evaluate model performance using appropriate metrics and continuously improve model accuracy and scalability.
- Collaborate with Data Engineers, ML Engineers, Business Analysts, Architects, and stakeholders.
- Contribute to Generative AI, NLP, Computer Vision, LLM, and Agentic AI initiatives where applicable.
- Deploy models using AWS, Azure, or Google Cloud and follow MLOps best practices.
- Communicate technical findings and model outcomes effectively to technical and business stakeholders.

Required Skills




- 5–20 years of experience in Data Science, Machine Learning, AI, or Advanced Analytics.
- Robust programming experience in Python.
- Strong knowledge of Machine Learning algorithms and statistical modelling.
- Hands-on experience with:

- Pandas

- NumPy
- Scikit-learn

- TensorFlow / PyTorch

- SQL

- PySpark / Apache Spark
- Strong understanding of data preprocessing, feature engineering, model validation, and optimization.
- Experience working with large-scale datasets and data visualization tools.
- Knowledge of ML lifecycle and model deployment.
- Good understanding of cloud platforms such as AWS / Azure / GCP.
- Strong analytical, problem-solving, and communication skills.

Preferred / Good-to-Have Skills
- Generative AI and LLMs
- RAG and Vector Databases
- NLP / Computer Vision
- Deep Learning
- Time-Series Forecasting
- Recommendation Systems
- Reinforcement Learning
- MLOps / MLflow
- Docker / Kubernetes
- Databricks
- Azure ML / AWS SageMaker / Google Vertex AI
- LangChain / LlamaIndex
- Experience with enterprise-scale AI solutions

Education
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
- Relevant industry experience and strong hands-on technical expertise will also be considered.

Candidate Profile We are looking for professionals who can independently handle end-to-end Data Science projects, from understanding business requirements and data analysis through model development, validation, deployment, and monitoring.

Location: PAN India

Experience: 5–20 Years

Skills: Data Science | Machine Learning | Python | SQL | PySpark | AI/ML | Deep Learning | Gen AI | NLP | Cloud | MLOps

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