Capgemini Hiring: Data Scientist Engineer
Capgemini Hiring: Data Scientist Engineer (In-Office Role) – Salary 6 to 11 LPA
Capgemini, one of the leading global IT and consulting companies, is hiring Data Scientist Engineers for its in-office role in India. This opportunity is perfect for professionals with at least 1 year of experience in Python, SQL, and Data Analysis, who are looking to expand their career in data-driven engineering.
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Company Name: Capgemini
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Role: Data Scientist Engineer
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Job Type: In-Office (On-site)
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Location: Bangalore
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Salary Package: ₹6 – 11 LPA (Based on experience & skills)
What Does a Data Scientist Engineer Do?
A Data Scientist Engineer works at the intersection of software engineering and data science. The role is not just about coding, but also about applying scientific methods, analytical techniques, and software practices to solve real-world challenges.
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They build, maintain, and optimize software solutions.
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They apply data analysis to support research and decision-making.
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They bring original thought and judgment to solve complex problems.
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They collaborate closely with other engineers and stakeholders.
Core Responsibilities
As a Data Scientist Engineer at Capgemini, your day-to-day responsibilities will include:
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Developing and maintaining data-driven applications.
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Using Python & SQL for data analysis, automation, and optimization.
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Designing wireframes, workflows, and analytical models for better business solutions.
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Applying scientific problem-solving methods to software and data challenges.
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Collaborating with peers and supervising technical/administrative tasks when needed.
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Continuously improving skills to meet professional software engineering standards.
Job Description – Grade Specific
Capgemini expects candidates to meet the following grade-specific requirements:
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Experience: Minimum 1 year of relevant work in Data Science/Software Engineering.
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Strong understanding of programming concepts and software design.
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Can work independently with minimal supervision, ensuring accurate results.
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Ability to organize time and deliver multiple tasks effectively.
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Works co-operatively with teams to achieve project goals.
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Makes informed decisions based on real scenarios, not just rules.
Why Choose a Career as a Data Scientist Engineer?
Choosing a career as a Data Scientist Engineer has several advantages:
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High Demand: Data is the backbone of all industries today, making this a secure career path.
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Good Salary Growth: With companies like Capgemini offering 6–11 LPA even at 1 year of experience, the financial growth is strong.
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Skill Enhancement: You will continuously upgrade your knowledge in Python, SQL, AI, ML, and Data Analytics.
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Impactful Work: You directly contribute to real-world projects that shape technology-driven businesses.
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Career Flexibility: This role opens doors to advanced careers like Data Scientist, AI Engineer, Machine Learning Specialist, or Software Architect.
Salary & Benefits
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Package: ₹6 – 11 LPA (as per role and experience).
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In-office exposure to real-world projects.
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Career growth opportunities in a global IT leader.
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Networking and collaboration with industry experts.
How to Apply
Interested candidates can apply through the official Capgemini Careers Portal.
👉OFFICIAL INFORMATION-- Click Here
👉 DIRECT FORM-- Apply Here
Final Thoughts
If you have 1 year of experience in Python, SQL, and Data Analysis, this Capgemini role could be your next big step. The position combines software engineering with data science, offering you growth, stability, and excellent pay.
For aspiring professionals, becoming a Data Scientist Engineer is one of the most rewarding paths in today’s IT world.
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