🏢 Company Overview:
Persistent Systems is a globally recognized technology and innovation-driven company specializing in software engineering, digital transformation, cloud, AI, and data solutions. With a strong commitment to excellence, Persistent empowers businesses to accelerate growth through cutting-edge technology. The company fosters a culture of learning, innovation, and collaboration—making it an ideal place for freshers to begin their professional journey in data science.
💼 Job Details:
- Employment type: Full Time
- Experience: Fresher
- Salary: ₹5,000 – ₹12,000 monthly
- Location: Work For Home
- Work timing: 9:45 AM to 6:45 PM
- Working Days: 5 Days
- Education: Any Degree
📝 Job Description:
Persistent Systems is inviting enthusiastic and analytical freshers to join the Data Science team. As a Data Science Fresher, you will assist in collecting, cleaning, and analyzing data, developing basic models, and supporting the team in solving real-world business problems using data-driven insights. This role is perfect for recent graduates who are passionate about data, analytics, and AI technologies.
🔑 Key Responsibilities:
- Assist in data collection, cleaning, preprocessing, and analysis
- Work with senior data scientists to develop predictive and analytical models
- Perform exploratory data analysis (EDA) to identify trends and insights
- Support in preparing data visualizations, dashboards, and reports
- Collaborate with engineering and business teams to understand project requirements
- Learn and apply data science tools, algorithms, and best practices
🛠️ Required Skills & Qualifications:
- Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or related field
- Basic knowledge of Python, R, SQL, or other analytical tools
- Understanding of machine learning concepts and libraries (Pandas, NumPy, Scikit-learn)
- Strong analytical thinking and problem-solving skills
- Good communication and teamwork abilities
- Freshers or recent graduates are encouraged to apply
🌟 Benefits:
- Hands-on training and mentorship from experienced data scientists
- Exposure to real-world AI, ML, and analytics projects
- Opportunity to build strong technical and analytical skills
- Supportive and collaborative environment promoting learning and innovation
