We are hiring Data Scientist in Gurugram Fresher & Experience. Gurugram has become one of India’s fastest-growing destinations for Artificial Intelligence, Data Science, and advanced analytics. From multinational corporations and global consulting firms to fintech companies and AI startups, organizations are actively investing in data professionals who can convert complex information into measurable business outcomes.
If you enjoy solving business problems with numbers, algorithms, and intelligent automation, this opportunity offers an excellent platform to build your career. Whether you are a recent graduate eager to enter the field or an experienced professional looking for larger datasets and enterprise-scale AI projects, Data Scientist roles in Gurugram provide exposure to modern technologies, real-world challenges, and continuous learning.
Position
Data Scientist
Location: Gurugram, Haryana
Experience Required:
- 1–3 Years
- 3–6 Years
- 6+ Years
Employment Type: Full-Time
What Makes This Role Exciting?
Unlike traditional reporting jobs, this position focuses on building intelligent systems capable of learning from historical and real-time data. You will collaborate with engineering teams, business leaders, and product managers to develop predictive solutions that improve customer experiences, optimize operations, automate business decisions, and uncover hidden opportunities.
Projects may involve customer analytics, fraud detection, recommendation engines, forecasting models, predictive maintenance, natural language processing, or Generative AI applications.
Your Day-to-Day Responsibilities
- Understand business objectives and translate them into analytical solutions.
- Gather information from multiple structured and unstructured data sources.
- Design scalable ETL workflows for data preparation.
- Identify trends, anomalies, and business opportunities through exploratory analysis.
- Build predictive machine learning models for production environments.
- Develop statistical models that improve business decision-making.
- Perform feature engineering and data transformation.
- Validate model performance using appropriate evaluation metrics.
- Deploy machine learning models using cloud infrastructure.
- Build interactive dashboards for stakeholders.
- Improve existing algorithms for higher accuracy and lower latency.
- Work closely with software developers for seamless integration.
- Maintain documentation of experiments, datasets, and model versions.
- Continuously research emerging AI technologies.
Technologies You Will Work With
| Programming | AI & ML | Cloud & Big Data | Visualization |
|---|---|---|---|
| Python | Machine Learning | AWS | Tableau |
| SQL | Deep Learning | Azure | Power BI |
| R | NLP | Google Cloud | Plotly |
| Scala | Computer Vision | Spark | Matplotlib |
| Java | Generative AI | Hadoop | Seaborn |
Skills Employers Value
Programming & Development
- Python
- SQL
- APIs
- Git
- Docker
- Linux
Data Engineering
- Data Cleaning
- ETL Development
- Data Warehousing
- Feature Engineering
- Data Pipelines
Machine Learning
- Regression
- Classification
- Clustering
- Recommendation Systems
- Time Series Forecasting
- Reinforcement Learning
Artificial Intelligence
- Neural Networks
- LLM Applications
- Prompt Engineering
- LangChain
- Vector Databases
- Retrieval-Augmented Generation (RAG)
Analytics
- Business Intelligence
- Statistical Analysis
- Predictive Analytics
- Customer Segmentation
- A/B Testing
Who Should Apply?
This opportunity is ideal for candidates who enjoy working with mathematics, statistics, programming, and business analytics.
Suitable applicants include:
- B.Tech / B.E. graduates
- MCA graduates
- M.Tech candidates
- M.Sc. Data Science
- Statistics graduates
- Mathematics graduates
- Artificial Intelligence graduates
- Computer Science graduates
Freshers with internships, Kaggle competitions, GitHub portfolios, or academic AI projects are encouraged to apply.
Career Progression
A successful Data Scientist can grow into roles such as:
- Junior Data Scientist
- Data Scientist
- Senior Data Scientist
- AI Engineer
- Machine Learning Engineer
- Lead Data Scientist
- Analytics Manager
- AI Solutions Architect
- Head of Data Science
- Chief Data Officer
Preferred Qualifications
Candidates with knowledge of the following will have an advantage:
- Probability & Statistics
- Linear Algebra
- Data Structures
- Machine Learning Algorithms
- Deep Learning Frameworks
- SQL Optimization
- Cloud Platforms
- Data Visualization
- Model Deployment
- MLOps Concepts
Relevant certifications in AWS, Azure, Google Cloud, TensorFlow, Databricks, Microsoft Fabric, or Snowflake are beneficial but not mandatory.
Salary Expectations
| Experience | Approximate Annual Salary |
|---|---|
| Fresher | ₹4 – ₹8 LPA |
| 1–3 Years | ₹8 – ₹15 LPA |
| 3–5 Years | ₹15 – ₹24 LPA |
| 5–8 Years | ₹24 – ₹40 LPA |
| 8+ Years | ₹40 – ₹70+ LPA |
Actual compensation depends on technical expertise, interview performance, certifications, and employer.
Why Build Your Career in Gurugram?
Gurugram is home to a large concentration of technology companies, global capability centers, consulting firms, and AI-driven startups. Professionals benefit from exposure to international projects, enterprise-scale datasets, advanced cloud platforms, and multidisciplinary teams. The city’s thriving technology ecosystem also offers abundant networking, upskilling, and career advancement opportunities.
Employee Benefits
- Competitive salary package
- Annual performance incentives
- Medical and accident insurance
- Paid leave and public holidays
- Hybrid and flexible work options
- Learning and certification support
- Modern AI development tools
- Exposure to enterprise data platforms
- Career mentoring
- Long-term growth opportunities
Begin Your Data Science Journey
Whether you are launching your career or taking the next step as an experienced professional, Data Scientist Jobs in Gurugram for Freshers & Experienced Candidates provide an excellent opportunity to work with cutting-edge AI technologies, solve complex business challenges, and contribute to impactful digital transformation initiatives.
Python, SQL, Machine Learning, Artificial Intelligence, Deep Learning, Data Science, Statistics, Predictive Analytics, Feature Engineering, ETL, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Tableau, Power BI, Apache Spark, Hadoop, AWS, Azure, Google Cloud, Docker, Kubernetes, Git, NLP, Computer Vision, Generative AI, LangChain, LlamaIndex, RAG, MLflow, XGBoost, LightGBM, Snowflake, Databricks, REST APIs
