Data Science Internship

The typical interview experience at Slonix via Unstop involves an initial timed online test covering aptitude and basic programming, followed by a technical interview where candidates discuss their data‑science projects, algorithms, and problem‑solving approach. The final HR round evaluates cultural fit and motivation. The process is moderately challenging, with emphasis on practical knowledge and clear communication.

Round 1: Online aptitude and coding test → Round 2: Technical interview focusing on data science concepts and projects → Round 3: HR interview assessing fit and motivation

Unstop.com promotes a vibrant work culture that emphasizes continuous learning, mentorship, and a healthy work‑life balance. Employees enjoy collaborative projects, regular skill‑upgradation sessions, and transparent growth pathways. The platform encourages innovation while maintaining a supportive environment for fresh talent.

Currently pursuing a relevant undergraduate programme (final year or pre‑final year). Open to Engineering, Arts, Commerce, Sciences, Management and other streams. No minimum CGPA specified; candidates should have a strong academic record and no more than two active backlogs at the time of application.

Slonix Solution Private Limited is an emerging technology services firm based in Bangalore, India. The company focuses on delivering data‑driven solutions to clients across sectors such as e‑commerce, fintech, and healthcare. With a small but dynamic team, Slonix encourages a culture of rapid learning, experimentation, and collaboration. The organization values innovation, data privacy, and reproducibility, making it an ideal environment for fresh talent eager to make a tangible impact. The Data Science Internship at Slonix is designed for undergraduate students in their final or pre‑final year who are passionate about turning raw data into actionable insights. Interns will work closely with senior data scientists and product managers, gaining hands‑on experience in the full lifecycle of data projects—from acquisition to model deployment. This role offers a unique blend of technical challenges and business exposure, allowing interns to understand how data science drives strategic decisions in a real‑world setting. Key responsibilities include: 1. Collecting, cleaning, transforming, and validating structured and unstructured datasets from internal and external sources. 2. Conducting exploratory data analysis to uncover patterns, trends, and anomalies. 3. Assisting in the development, testing, and evaluation of statistical and machine‑learning models. 4. Building clear visualizations, dashboards, and concise reports to communicate findings to stakeholders. 5. Documenting data pipelines, methodologies, and code to ensure reproducibility. 6. Collaborating with cross‑functional teams to gather requirements and translate business problems into analytical solutions. 7. Staying updated with emerging tools, libraries, and best practices in data science and analytics. 8. Ensuring data privacy and compliance with company policies throughout the project lifecycle. 9. Participating in code reviews and knowledge‑sharing sessions within the team. 10. Providing recommendations based on analytical insights to support decision‑making. The tech stack primarily includes Python (pandas, NumPy, scikit‑learn), SQL for data extraction, Jupyter notebooks for experimentation, and visualization tools such as Tableau or Power BI. Familiarity with Git for version control and cloud platforms like AWS or GCP is a plus. Growth path: Successful interns may receive a full‑time offer as a Junior Data Scientist or Analyst, with clear mentorship and a roadmap to senior roles. The internship also serves as a springboard to build a strong portfolio, network with industry professionals, and acquire skills that are highly sought after in the Indian job market. Why join Slonix? The company offers a supportive learning environment, exposure to real client projects, and the chance to work on end‑to‑end data pipelines. Interns are empowered to experiment, make mistakes, and iterate quickly, fostering both technical depth and business acumen. Moreover, the stipend of ₹20K‑₹30K per month ensures that students can focus on learning without financial strain.