Experience required: 5-10 Yrs
Skills: Data Science, Python, Artificial Intelligence, Natural Language Processing, Neural Networks, Computer Vision, Machine Learning, Deep Learning

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

Job Description

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 modern 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.
Strong 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.

Role: Data Scientist
Industry Type: IT Services & Consulting
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning
Education
UG: Any Graduate