About Us: We are a forward-thinking company specializing in Data science , data analytics , web design and development , AI powered solutions.
We are looking for a motivated and analytical Data Science Intern to join our growing team.
This is an excellent opportunity for individuals interested in gaining hands-on experience in data analysis, machine learning, and data-driven decision-making while working remotely with industry professionals.
Key Responsibilities: Assist in data collection, cleaning, and pre-processing for analysis and model building.
Work with large datasets to identify patterns, trends, and insights.
Help build and test machine learning models for predictive analysis, classification, or regression tasks.
Assist in the development of dashboards and visualizations to communicate data-driven insights to stakeholders.
Support the team in performing statistical analysis and hypothesis testing.
Collaborate with data engineers and business teams to understand and refine data requirements.
Document processes, code, and findings clearly to ensure reproducibility and knowledge sharing.
Stay updated on new data science techniques, tools, and technologies.
Requirements: Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field, or equivalent practical experience.
Proficiency in programming languages such as Python or R. Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).
Basic understanding of machine learning algorithms and frameworks (e.g., Scikit-learn, TensorFlow, Keras).
Knowledge of SQL for querying databases and working with structured data.
Strong problem-solving and analytical skills.
Excellent communication skills, both written and verbal.
A strong desire to learn and a keen interest in data science.
Nice to Have: Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
Familiarity with deep learning concepts and frameworks (e.g., PyTorch, TensorFlow).
Experience with cloud platforms (e.g., AWS, Google Cloud) or big data tools (e.g., Hadoop, Spark).
Understanding of statistical analysis and A/B testing.
Experience with version control systems like Git.
Benefits: A remote-first, flexible work environment.
Mentorship and guidance from experienced data scientists.
Hands-on experience with real-world data science projects.
Exposure to cutting-edge tools and techniques in data science.
Opportunity to enhance your portfolio and skill set.
Potential for full-time employment after the internship.