Career Overview

About Career

Role & Responsibilities in the Data Science Sector

Data Science professionals work at the intersection of technology, business, and analytics. Key responsibilities include:

• Data Collection & Cleaning: Gathering raw data and preparing it for analysis
• Data Analysis & Interpretation: Finding insights from structured and unstructured data
• Machine Learning Modeling: Designing algorithms to make predictions
• Data Visualization: Presenting findings in easy-to-understand dashboards and charts
• Problem Solving: Identifying business challenges and using data to solve them
• Collaboration: Working with cross-functional teams—IT, marketing, product, and finance
• Strategic Decision Support: Recommending actions based on data insights

What are the Skills Required for Data Science?

Below is a list of essential skills for Data Science

• Programming Languages: Proficiency in Python, R, or SQL
• Statistics & Mathematics: Core understanding of probability, regression, and algorithms
• Data Visualisation: Tools like Power BI, Tableau, or Matplotlib
• Machine Learning: Knowledge of supervised and unsupervised learning
• Big Data Technologies: Familiarity with Hadoop, Spark, or cloud platforms
• Business Acumen: Ability to link data insights to business goals
• Communication Skills: Explaining complex data findings in simple terms

What are the Career Opportunities in Data Science?

Salary Potential in the Data Science Sector

Data Science careers offer competitive salaries depending on experience:

• Entry-Level (0–2 years): According to a Glassdoor report, the entry-level salary for data scientists ranges between INR 5,00,000 to INR 9,00,00 per annum.
• Mid-Level (3–7 years): According to a Glassdoor report, the mid-level salary for ML Engineer ranges from INR 10,00,000 to INR 20,00,000 per annum.
• Senior-Level (8+ years): According to a Glassdoor report, the senior-level salary for Lead Data Scientist is INR 22,00,000 to INR 45,00,000 per annum.

Navigation Towards Becoming a Data Science Manager?

• Start with a relevant bachelor’s degree in Computer Science, Mathematics, Engineering, or Statistics.
• Learn programming and tools like Python, SQL, R, and data visualisation platforms.
• Gain real-world experience through internships, projects, or entry-level roles in analytics or tech.
• Pursue a master’s or specialised course such as M.Sc. in Data Science, MBA in Data Analytics, or PGDM in Data Science.
• Move into leadership by managing data teams, driving strategy, and leading AI-powered initiatives.