Infosys is looking for motivated fresh graduates to join as Junior Data Scientists. This entry-level role offers an excellent platform for building a career in data science, analytics, and artificial intelligence. As a Junior Data Scientist, you will support data-driven decision-making by analyzing large datasets, developing predictive models, and providing actionable insights. The role provides structured training, mentorship, and exposure to real-world business problems, helping you develop technical, analytical, and problem-solving skills in a professional environment.
Key Responsibilities:
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Collect, process, and analyze structured and unstructured data from multiple sources.
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Assist in building and deploying machine learning models for predictive analytics and business insights.
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Perform data cleaning, preprocessing, and validation to ensure high-quality datasets.
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Visualize data and generate reports to support business decision-making.
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Collaborate with cross-functional teams including business analysts, developers, and project managers to understand requirements.
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Document data analysis processes, methodologies, and findings for internal and client use.
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Participate in training sessions to enhance knowledge of data science tools, techniques, and industry best practices.
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Support ongoing analytics projects and assist in troubleshooting data or model-related issues.
Required Skills and Qualifications:
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Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or related fields.
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Basic knowledge of programming languages such as Python, R, or SQL.
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Familiarity with data analysis, visualization, and machine learning libraries/tools (e.g., Pandas, NumPy, Scikit-learn, Tableau, Power BI).
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Strong analytical and problem-solving abilities.
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Good written and verbal communication skills in English.
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Attention to detail and ability to work accurately with large datasets.
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Eagerness to learn and adapt to new technologies and tools.
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Ability to work collaboratively in team settings and communicate insights effectively.
Experience:
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Freshers from the 2023, 2024, or 2025 batch are eligible.
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Academic projects, internships, or certifications in data science, analytics, or machine learning are advantageous but not mandatory.
Working Hours:
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Full-time position, typically 9:00 AM – 6:00 PM, Monday to Friday.
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Flexibility may be required depending on client requirements or project deadlines.
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Work location may be on-site, hybrid, or remote, based on project allocation and company policies.
Knowledge, Skills, and Abilities:
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Understanding of statistical analysis, machine learning concepts, and data visualization techniques.
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Ability to manipulate, analyze, and interpret large datasets.
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Familiarity with data science tools, frameworks, and programming languages.
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Strong organizational skills to manage multiple tasks and projects efficiently.
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Analytical mindset with a proactive approach to problem-solving.
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Good interpersonal skills for collaboration with teams and stakeholders.
Benefits:
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Structured training programs and mentorship from experienced data scientists.
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Hands-on exposure to real-world data science projects and tools.
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Competitive salary and performance-based incentives.
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Access to Infosys learning platforms for continuous skill enhancement.
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Career growth opportunities in analytics, AI, and data-driven business solutions.
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Inclusive work environment promoting learning, innovation, and professional development.
Why Join Infosys:
Infosys is a global leader in IT services, consulting, and digital transformation. Joining as a Junior Data Scientist allows fresh graduates to gain practical experience in analytics, AI, and data-driven solutions. The role emphasizes learning, mentorship, and professional development, providing an ideal platform for launching a successful career in data science.
How to Apply:
Candidates can apply through Infosys’ official careers portal by submitting an updated resume and academic transcripts. Shortlisted applicants will undergo an online assessment, followed by technical and HR interviews. Ensure all contact details are accurate to receive timely updates regarding assessments and interview schedules.