Data Science jobs in India

• About 4 to 5 plus years of experience in data science, analytics, or related roles within the retail industry.

Strong knowledge of data science techniques, including machine learning, statistical modeling, and data visualization.

Lead the Data Science charter by innovation and POC deployment

Job Summary:We are seeking a highly skilled and experienced Data Analyst/Scientist to join our team. The ideal candidate will have a strong background in data analysis and programming, with expertise in both Python and SAS. This role involves analyzing complex data sets, developing predictive models, and providing actionable insights to drive business decisions.

Key Responsibilities:

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  Data Analysis:
  • Collect, clean, and preprocess large datasets from various sources.
  • Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights.
  • Apply statistical techniques and advanced analytical methods to solve business problems.
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  Programming:
  • Develop and maintain scripts and programs in Python and SAS.
  • Automate data processing and analysis workflows using Python and SAS.
  • Implement and optimize predictive models using machine learning techniques.
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  Reporting and Visualization:
  • Create interactive dashboards and reports using tools such as Tableau, Power BI, or similar.
  • Present findings and insights to stakeholders through clear and concise visualizations.
• 
  
  Collaboration:
  • Work closely with cross-functional teams, including business analysts, data engineers, and other stakeholders.
  • Provide technical guidance and mentorship to junior team members.
• 
  
  Continuous Improvement:
  • Stay up-to-date with the latest trends and technologies in data science and analytics.
  • Propose and implement improvements to existing processes and methodologies.

Qualifications:

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  Education:
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• 
  
  Experience:
  • Proven experience in data analysis, statistical modeling, and programming.
  • Strong proficiency in Python and SAS.
  • Experience with data visualization tools and techniques.
  • Familiarity with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, etc.).
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  Skills:
  • Excellent problem-solving and analytical skills.
  • Strong attention to detail and accuracy.
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • Strong organizational and project management skills.

Preferred Qualifications:

• Experience in the [insert relevant industry, e.g., finance, healthcare, marketing, etc.] industry.
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

Location - Pune, Mumbai

This team strives to improve the productivity & efficiency of business processes through business analytics, data science & automation projects. The resulting projects help accelerate businesses/stakeholders in decision-making by providing data insights

Looking for someone responsible for advancing analytics opportunities in the BFSI* sector, managing project delivery, people, and stakeholders. The ideal candidate will have a strong background in advanced analytics and experience in leading high-impact analytics solutions and programs with Indian clients.

- Working on extracting data insights for the entire organisation using analytics

The position will be accountable for managing existing team of data science in developing analytical models and algorithms. The role will also require the individual to drive the data strategy and create optimal data science solutions for the company.

Looking for a Senior Data Scientist as a part of our Data Science team, who will be responsible for working on various Data Asset projects and developing Data Science solutions

The Manager/Sr Manager of Data Engineering will lead a team to develop, test, and maintain data architectures in the life science and pharmaceutical industry.

Job Description-

• Software engineering experience with main focus on Python, SQL and database design, CI/CD, Git and familiarity with SDLC concepts.
• Good to have knowledge on data science skills, including traditional statistical methods, machine learning, Natural Language Processing and Computer Vision.
• Proven experience scaling data workloads using distributed compute (e.g., Spark, Apache Beam, Kubernetes) and exposing services via backend APIs.
• Experience with a cloud environment (GCP, Azure, AWS), especially using distributed-compute resources (BigQuery, Spark, Redshift, HD Insight) and data processing tools (Apache Airflow/Beam, AWS Glue/Kinesis, Azure Data Factory).
• Experience with machine learning model deployment to production and lifecycle management including ,serving and monitoring in cloud environment.
• Strong attention to detail and teamwork skills with a self-motivated approach.

Location - Noida