Data Scientist – Intern / Entry Level (up to 4 years experience)

About the Role

Are you passionate about solving problems through data? Do you enjoy uncovering insights hidden in large datasets and experimenting with machine learning or AI? As a Data Scientist (Intern/Entry Level), you’ll get the opportunity to turn complex data into meaningful insights that drive real-world impact.

You will work on projects involving data exploration, cleaning, visualization, and building predictive models. This role is ideal for recent graduates, interns, or professionals with up to 4 years of experience who are eager to build a strong foundation in data science.

Responsibilities

• Collaborate with teams to understand business problems and translate them into data-driven solutions.
• Explore, clean, and analyze structured and unstructured datasets.
• Build basic predictive models and perform quantitative analysis.
• Create dashboards and visualizations to communicate insights clearly.
• Experiment with machine learning, natural language processing, or automation techniques under mentorship.
• Stay curious and continuously learn new tools, techniques, and best practices in data science.

What We’re Looking For

• Up to 4 years of experience (internship or professional) in data analysis, data science, or related fields.
• Familiarity with Python, R, or similar languages for data analysis.
• Understanding of SQL and data querying.
• Exposure to data visualization tools (Tableau, Power BI, matplotlib, seaborn, etc.).
• Knowledge of basic statistics, machine learning concepts, or natural language processing is a plus.
• Strong problem-solving and analytical skills.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field (or equivalent practical experience).

Nice to Have

• Previous internship or academic project experience in data science or AI.
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Basic knowledge of Excel VBA or automation tools.

Why Join Us?

• Opportunity to gain hands-on experience working on impactful data-driven projects.
• Learn and grow alongside experienced mentors.
• Exposure to cutting-edge tools, frameworks, and techniques in data science.
• Collaborative and supportive environment for continuous learning.