🏢 Company Overview:
Cognizant is a global technology leader specializing in digital transformation, data analytics, AI solutions, cloud services, and business modernization. With a strong focus on innovation and client success, Cognizant empowers organizations worldwide to harness the power of data. The company is committed to creating opportunities for emerging talent and fostering a culture of continuous learning and development.
💼 Job Details:
- Employment type: Part Time
- Experience: 2+ Years
- Salary: ₹25,000 – ₹35,000 monthly
- Location: Work For Home
- Work timing: 9:45 AM to 6:45 PM
- Working Days: 5 Days
- Education: Any Degree
📝 Job Description:
Cognizant is looking for passionate and analytical individuals to join its Data Science team on a part-time basis. This role involves working with datasets, creating predictive models, deriving insights, and supporting ongoing analytical projects. It is an excellent opportunity for students, freshers, or professionals seeking flexible part-time work in the field of data science.
🔑 Key Responsibilities:
- Collect, clean, and analyze datasets for various business projects
- Assist in building machine learning models and statistical algorithms
- Present findings and insights through visualizations and reports
- Work closely with senior data scientists and project managers
- Perform exploratory data analysis (EDA) to identify patterns and trends
- Support automation and optimization of existing workflows
🛠️ Required Skills & Qualifications:
- Basic knowledge of Python or R for data analysis
- Understanding of machine learning concepts and algorithms
- Familiarity with tools such as NumPy, Pandas, Matplotlib, or Scikit-learn
- Strong analytical and problem-solving skills
- Ability to work independently and meet project deadlines
- Students, freshers, or part-time job seekers are welcome
🌟 Benefits:
- Opportunity to work with real-world datasets and industry projects
- Hands-on experience under expert mentorship
- Flexible part-time working hours
- Skill development in machine learning, data visualization, and analytics
- Exposure to the latest tools and technologies in the data science field
