Data Science Intern

Company Description Ditansource aims to deliver a comprehensive solution through an innovative freelancing platform, ensuring exceptional quality at an optimal price. Our mission is to build a user-friendly platform that fosters global connections and empowers young talent. We enable professionals to showcase and refine their skills in their chosen fields while offering clients access to a diverse pool of talented individuals from around the world. Role Description Ditansource is offering a remote, paid internship or freelance opportunity for students, recent graduates, or self-taught professionals interested in Data Science. Selected candidates will work on real-world data-driven projects, developing models, generating insights, and improving decision-making across platforms such as www.ditansource.com and associated client applications. This is a hands-on opportunity to apply your analytical skills and grow in a collaborative, fast-paced environment. Qualifications • Proficiency in Python or R for data analysis • Familiarity with data science libraries (e.g., Pandas, NumPy, Matplotlib, Scikit-learn, TensorFlow/PyTorch optional) • Ability to clean, manipulate, and analyze structured and unstructured data • Understanding of basic statistical concepts and machine learning algorithms • Experience with SQL and working with databases • Ability to communicate insights through visualizations (using tools like Power BI, Tableau, or Python libraries) • Introductory knowledge of data pipelines, APIs, or web scraping is a plus • Portfolio of previous data science or analytics work (personal, academic, or professional) • Strong problem-solving, logical thinking, and communication skills • Comfortable using collaboration tools like Jupyter, GitHub, Notion, Slack, or Trello Key Responsibilities • Collect, clean, and analyze datasets from internal or external sources • Build predictive models and machine learning algorithms to solve business problems • Visualize key trends and metrics to support data-driven decision-making • Conduct exploratory data analysis (EDA) and summarize findings • Work closely with developers and product teams to translate insights into features • Prepare detailed reports and dashboards for internal or client use • Continuously test, validate, and improve models based on feedback and new data • Maintain data documentation and collaborate in a version-controlled environment Application Process • Submit Your Application (via LinkedIn Easy Apply) • Paid Technical Challenge (complete a short data analysis or modeling task) • Interview Rounds (Portfolio Review + Technical Interview + HR Interview) Terms • Paid remote internship or freelance work • Work on the live platform: www.ditansource.com • Formal onboarding via Ditanbiz India Private Limited (our affiliated company) Show more Show less