Data Science Intern
Acrotinel · India
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- Hybrid
- Full-time
- ₹228,000 / year
- India
Job highlights
- Solve business problems with data science.
- Build predictive and analytical models.
- Process and analyze data for insights.
- Collaborate with teams on analytics.
- Gain practical data science experience.
About the role
Data Science Intern
Acrotinel is looking for a curious and solution-oriented Data Science Intern who can leverage data to solve business problems and build intelligent systems. This role focuses on experimentation, data-driven innovation, and applying advanced analytics in real-world scenarios.
Key Responsibilities
- Work on real-world problem statements using data science approaches
- Design and implement data-driven solutions for business use cases
- Build prototypes for predictive and analytical models
- Explore datasets to discover hidden patterns and insights
- Apply statistical techniques to validate hypotheses
- Work on data pipelines and automate data processing tasks
- Collaborate with teams to convert business challenges into analytical problems
- Optimize existing models and improve their efficiency
- Present findings and recommendations in a structured manner
Required Skills
- Understanding of data science concepts and workflows
- Strong proficiency in Python (Pandas, NumPy, Scikit-learn)
- Knowledge of statistics and probability fundamentals
- Familiarity with machine learning techniques
- Basic understanding of data preprocessing and feature engineering
- Exposure to data visualization tools or libraries
- Problem-solving mindset and analytical thinking
- Ability to communicate insights effectively
Eligibility Criteria
- Students or recent graduates from Data Science, AI, Computer Science, or related fields
- Freshers with strong analytical mindset are encouraged to apply
- Candidates with projects, internships, or case studies preferred
- Certifications in Data Science / Machine Learning are a plus
- Must be available for a full-time remote internship
Perks and Benefits
- Monthly stipend of ₹19,000
- Hands-on experience solving real-world data problems
- Internship completion certificate
- Opportunity to work on innovative data-driven projects
- Exposure to modern tools and workflows
- Mentorship from experienced professionals
- Potential full-time opportunity based on performance
Why Join Acrotinel?
This internship is ideal for individuals who want to gain practical experience in data science, work on impactful projects, and build a strong foundation in analytics and machine learning.
Key skills/competency
- Data Science
- Python
- Machine Learning
- Data Analysis
- Statistical Modeling
- Problem Solving
- Data Visualization
- Feature Engineering
- Predictive Modeling
- Data Pipelines
Skills & topics
- Data Science Intern
- Data Science
- Python
- Machine Learning
- Data Analysis
- Statistical Modeling
- Problem Solving
- Data Visualization
- Feature Engineering
- Predictive Modeling
- Data Pipelines
- AI
- Computer Science
- Internship
- Remote Internship
How to get hired
- Tailor your resume: Highlight data science projects, Python skills, and any relevant internships.
- Showcase projects: Include a portfolio or GitHub link demonstrating your data science work.
- Prepare for technical questions: Review Python, ML, statistics, and data preprocessing concepts.
- Demonstrate problem-solving: Be ready to discuss how you approach analytical challenges.
- Express enthusiasm: Show genuine interest in Acrotinel and data science innovation.
Technical preparation
Master Python libraries: Pandas, NumPy, Scikit-learn.,Review ML algorithms and statistical concepts.,Practice data preprocessing and feature engineering.,Build simple data visualizations.
Behavioral questions
Describe a data project you completed.,How do you handle ambiguous data?,How do you communicate complex findings?,Why are you interested in data science?
Frequently asked questions
- What will a Data Science Intern at Acrotinel do?
- As a Data Science Intern at Acrotinel, you will leverage data to solve business problems, build intelligent systems, design and implement data-driven solutions, and create prototypes for predictive and analytical models. You will explore datasets, apply statistical techniques, and work on data pipelines.
- What are the eligibility criteria for the Data Science Intern role at Acrotinel?
- The eligibility criteria for the Data Science Intern role at Acrotinel include being a student or recent graduate in Data Science, AI, Computer Science, or related fields. Freshers with a strong analytical mindset, prior projects, internships, or case studies are encouraged to apply. Candidates must be available for a full-time remote internship.
- What skills are required for the Data Science Intern position at Acrotinel?
- Required skills for the Data Science Intern position at Acrotinel include an understanding of data science concepts, strong Python proficiency (Pandas, NumPy, Scikit-learn), knowledge of statistics and probability, familiarity with machine learning techniques, basic data preprocessing, and exposure to data visualization tools. A problem-solving mindset and effective communication are also essential.
- Is the Data Science Internship at Acrotinel remote?
- Yes, the Data Science Internship at Acrotinel is a full-time remote internship. Candidates must be available to work remotely for the duration of the internship.
- What is the stipend for the Data Science Intern at Acrotinel?
- The stipend for the Data Science Intern at Acrotinel is ₹19,000 per month.
- What is the duration of the Data Science Internship at Acrotinel?
- The duration of the Data Science Internship at Acrotinel is between 1 to 3 months.
- Can I get a full-time offer after the Data Science Internship at Acrotinel?
- Yes, there is a potential for a full-time opportunity after the Data Science Internship at Acrotinel, based on your performance during the internship.
- What kind of projects will I work on as a Data Science Intern at Acrotinel?
- As a Data Science Intern at Acrotinel, you will work on real-world problem statements, design and implement data-driven solutions, build prototypes for predictive and analytical models, and contribute to innovative data-driven projects.