128 Data Scientists jobs in Gurugram

Ready to shape the future of work?

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. 

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. 

Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook. 

Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience!

We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals.

Responsibilities • Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making.

• Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc.

• Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations.

• Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed.

• Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones.

• Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth.

Qualifications we seek in you:

Minimum Qualifications• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.

• Experience in data science, machine learning, AI applications, and generative AI modelling.

• Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks.

• Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc.

• Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark.

• Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations.

• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders.

Preferred Qualifications/ skills• Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP.

• Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance

• Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.

Why join Genpact?

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. 

Let’s build tomorrow together. 

We are seeking a highly skilled Big Data Engineer to join our growing team. In this role, you will be responsible for designing, building, and maintaining robust data pipelines that handle high-volume financial data, including stocks, cryptocurrencies, and third-party data sources. You will play a critical role in ensuring data integrity, scalability, and real-time availability across our platforms.

Key Responsibilities :-

• Design, develop, and manage end-to-end data pipelines for stocks, crypto, and other financial datasets.
• Integrate third-party APIs and data feeds into internal systems.
• Build and optimize data ingestion, storage, and transformation workflows (batch and real-time).
• Ensure data quality, consistency, and reliability across all pipelines.
• Collaborate with data scientists, analysts, and backend engineers to provide clean, structured, and scalable datasets.
• Monitor, troubleshoot, and optimize pipeline performance.
• Implement ETL/ELT best practices, data governance, and security protocols.
• Contribute to the scalability and automation of our data infrastructure.

Requirements :-

• Proven experience as a Big Data Engineer / Data Engineer (preferably in financial or crypto domains).
• Strong expertise in Python, SQL, and distributed data systems.
• Hands-on experience with data pipeline tools (e.g., Apache Spark, Kafka, Airflow, Flink, Prefect).
• Experience with cloud platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift, etc.).
• Knowledge of API integrations and handling real-time streaming data.
• Familiarity with databases (relational and NoSQL) and data modeling.
• Solid understanding of stocks, cryptocurrencies, and financial data structures (preferred).
• Strong problem-solving skills with the ability to handle large-scale data challenges.

Role Overview

We are seeking a highly skilled Big Data Engineer to join our team. The ideal candidate will have strong experience in building, maintaining, and optimizing large-scale data pipelines and distributed data processing systems. This role involves working closely with cross-functional teams to ensure the reliability, scalability, and performance of data solutions.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Work with large datasets using Hadoop ecosystem tools (Hive, Spark).
• Build and optimize real-time and batch data processing solutions using Kafka and Spark Streaming.
• Write efficient, high-performance SQL queries to extract, transform, and load data.
• Develop reusable data frameworks and utilities in Python.
• Collaborate with data scientists, analysts, and product teams to deliver reliable data solutions.
• Monitor, troubleshoot, and optimize big data workflows for performance and cost efficiency.

Must-Have Skills

• Strong hands-on experience with Hive and SQL for querying and data transformation.
• Proficiency in Python for data manipulation and automation.
• Expertise in Apache Spark (batch and streaming).
• Experience working with Kafka for streaming data pipelines.

Good-to-Have Skills

• Experience with workflow orchestration tools (Airflow etc.)
• Knowledge of cloud-based big data platforms (AWS EMR, GCP Dataproc, Azure HDInsight).
• Familiarity with CI/CD pipelines and version control (Git).

Data Scientists- AI/ML- GEN AI- Across india | EXP: 4 - 10 years

data scientists with total of around 4-10 years of experience and atleast 4-10 years of relevant data science, analytics, and AI/ML Python; data science; AI/ML; GEN AI

Primary Skills :

- Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI. Good applied statistics skills, such as distributions, statistical inference & testing, etc.

- Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc).

- Proficient in coding in common data science language & tools such as R, Python.

- Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc.

- Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc.

- Exposure or knowledge in cloud (Azure/AWS).

- Experience on deployment of model in production.

Position Summary – Big Data GCP Developer

GCP + Bigdata (any programming )

Location: Gurgaon

Experience: 3.5-6.5 yrs

Work Mode-Hybrid

Interview Mode: virtual

Joining: Immediate joiners preferred

Mandatory Skills:

• Strong experience in Big Data, PySpark, Hive,GCP

• Expertise in Spark optimization and performance tuning

Role Responsibilities:

• Build and optimize large-scale data processing pipelines using PySpark

• Tune Spark jobs for better efficiency and cost optimization

• Collaborate with cross-functional teams to develop and deploy scalable solutions

• Ensure best practices in coding, version control, and Agile

Description

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are looking for Solution Architects for data-driven projects to join our Data Practice team in India. Together we design and drive lots of solutions that generate value from data, taking advantage of scalable platforms, cutting-edge technologies, and machine learning algorithms. We provide a solid architecture framework, educational programs, and a strong SA community to support our new Architects in a deep dive into the data domain.

Responsibilities

Requirements

We offer

Responsibilities include, but are not limited to - Develops and tests software, including ongoing refactoring of code, and drives continuous improvement in code structure and quality Primary focus is spent writing code, API specs, conducting code reviews and testing in ongoing sprints, or doing proof of concepts/automation tools. Applies visualization and other techniques to fast track concepts. Functions as a core member of an Agile team driving user story analysis and elaboration, design and development of software applications, testing and builds automation tools. Works on a specific platform/product or as part of a dynamic resource pool assigned to projects based on demand and business priority. Identifies opportunities to adopt innovative technologies & build reusable components. Ensures timely & effective communication with the reporting manager.

Strong programming knowledge in Java Solid understanding of data structures, Algorithms & Design Patters is required

Strong programming knowledge in Java Solid understanding of data structures, Algorithms & Design Patters is required

Strong SQL knowledge is required
Hands-on experience or Knowledge on Big Data technologies (at least MapReduce, Hive and Hbase)
Understanding and experience with UNIX / Shell / Python scripting Database query optimization and indexing Web services design and implementation using REST / SOAP

Primary as Java API and SQL
Secondary -Big Data

Job Title: Big Data Engineer – Scala

Location: Bangalore, Chennai, Gurgaon, Pune, Mumbai.

Experience: 7–10 Years (Minimum 3+ years in Scala)

Notice Period: Immediate to 30 Days

Mode of Work: Hybrid

Role Overview

We are looking for a highly skilled Big Data Engineer (Scala) with strong expertise in Scala, Spark, Python, NiFi, and Apache Kafka to join our data engineering team. The ideal candidate will have a proven track record in building, scaling, and optimizing big data pipelines , and hands-on experience in distributed data systems and cloud-based solutions.

Key Responsibilities

- Design, develop, and optimize large-scale data pipelines and distributed data processing systems.

- Work extensively with Scala, Spark (PySpark), and Python for data processing and transformation.

- Develop and integrate streaming solutions using Apache Kafka and orchestration tools like NiFi / Airflow .

- Write efficient queries and perform data analysis using Jupyter Notebooks and SQL .

- Collaborate with cross-functional teams to design scalable cloud-based data architectures .

- Ensure delivery of high-quality code through code reviews, performance tuning, and best practices .

- Build monitoring and alerting systems leveraging Splunk or equivalent tools .

- Participate in CI/CD workflows using Git, Jenkins, and other DevOps tools.

- Contribute to product development with a focus on scalability, maintainability, and performance.

Mandatory Skills

- Scala – Minimum 3+ years of hands-on experience.

- Strong expertise in Spark (PySpark) and Python .

- Hands-on experience with Apache Kafka .

- Knowledge of NiFi / Airflow for orchestration.

- Strong experience in Distributed Data Systems (5+ years) .

- Proficiency in SQL and query optimization.

- Good understanding of Cloud Architecture .

Preferred Skills

- Exposure to messaging technologies like Apache Kafka or equivalent.

- Experience in designing intuitive, responsive UIs for data analytics visualization.

- Familiarity with Splunk or other monitoring/alerting solutions .

- Hands-on experience with CI/CD tools (Git, Jenkins).

- Strong grasp of software engineering concepts, data modeling, and optimization techniques .

Description

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

If you are a seasoned Lead Big Data Software Engineer looking for a challenging and rewarding opportunity, we invite you to apply and become an integral part of our dynamic team. As a Lead Engineer, you will play a crucial role in designing and implementing Big Data solutions for our diverse range of projects. The ideal candidate should have extensive experience in Big Data and related technologies, with a focus on Apache Spark, Java, Scala, and AWS.

Responsibilities

Requirements

We offer