Job Type:
Full Time
Education: B.Sc/ M.Sc/ B.E/ M.E./ B.Com/ M.Com/ BBA/ MBA/B.Tech/ M.Tech/ All Graduates
Skills:
Python, .net, React Native, Django, Javascript, HTML, CSS, Typescript, Communication Skills, Power Bi, Numpy Pandas, Sql, machine learning, Data Analysis, Coimbatore, Data Science, Java, Adobe XD, Figma, php, wordpress, Artificial Intelligence, Excel
Job Title: Data Science Intern
Company: Zen Consultancy
Location: Bangalore, Gurgaon, Noida, Mumbai
Employment Type: Full-Time / Freelance
About Zen Consultancy:
Zen Consultancy is a leading provider of technology solutions in the IT Services and IT Consulting industry. Our mission is to help clients navigate the ever-evolving technology landscape and achieve operational excellence in their core businesses. We deliver tailor-made solutions that drive success and innovation.
Job Overview:
Zen Consultancy is looking for a Data Science Intern to join our team. This is an excellent opportunity for candidates with less than 1 year of experience who are looking to grow their career in data science. As an intern, you will assist in various data science tasks, including data collection, cleaning, statistical analysis, machine learning, and data visualization. This role offers flexible employment options, ranging from Full-Time to Freelance, with job location options in Bangalore, Gurgaon, Noida, and Mumbai Suburban.
Qualifications and Skills:
- Proficiency in Python programming
- Experience with statistical analysis and machine learning
- Ability to create clear and impactful data visualizations
- Strong SQL database management skills
- Solid data cleaning capabilities
- Excellent critical thinking and problem-solving abilities
Roles and Responsibilities:
- Data Collection & Cleaning: Assist in collecting and cleaning data from various sources to ensure it is ready for analysis.
- Statistical Analysis & Machine Learning: Utilize Python to perform statistical analysis and implement machine learning algorithms to gain insights.
- Data Visualization: Create data visualizations to effectively communicate findings and insights to internal teams.
- SQL Database Management: Manage and maintain SQL databases, ensuring data integrity and accessibility.
- Optimization: Apply critical thinking and problem-solving skills to streamline data processes and improve overall efficiency.
