Apprentice Data Scientist

About the job

Our client, a forward-thinking analytics firm, is offering an exciting Apprentice Data Scientist position in Kanpur, Uttar Pradesh . This apprenticeship is designed for aspiring data professionals who are passionate about unlocking insights from data and possess a strong aptitude for analytical thinking and programming. You will work closely with experienced data scientists, gaining hands-on experience in data collection, cleaning, analysis, modeling, and visualization. This role provides an excellent opportunity to learn cutting-edge data science techniques and tools in a supportive and challenging environment. Program Features: - Assist in data preprocessing, feature engineering, and data wrangling tasks. - Learn and apply various machine learning algorithms for prediction and classification. - Develop proficiency in data visualization tools and techniques to communicate findings effectively. - Support the development and deployment of data-driven models. - Work with large datasets using tools like Python (Pandas, NumPy, Scikit-learn) and SQL. - Gain exposure to big data technologies and cloud platforms. - Participate in team meetings and contribute to project discussions. - Receive mentorship and guidance from senior data scientists. - Contribute to research and development of new analytical approaches. - Develop a portfolio of data science projects. The ideal candidate should have a Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or Engineering. Demonstrated passion for data science through personal projects, coursework, or Kaggle competitions is highly desirable. Strong analytical and problem-solving skills are a must. Basic programming skills in Python or R are required. Familiarity with databases and SQL is beneficial. Excellent communication skills and the ability to work effectively in a team are essential. This is a fantastic stepping stone for individuals aiming to build a career in the high-demand field of data science. We are looking for curious, motivated individuals eager to learn and contribute. The hybrid nature of this role allows for collaborative learning sessions while also providing flexibility. This role is focused on learning and development, preparing you for future roles in data science.

Requirements

• Data collection
• Data cleaning
• Data analysis
• Modeling
• Visualization
• Machine learning
• Python
• SQL

Qualifications

• Bachelor's degree
• Master's degree

Preferred Technologies

• Data collection
• Data cleaning
• Data analysis
• Modeling
• Visualization
• Machine learning
• Python
• SQL