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Data Scientist Intern

Remote:

Full Remote

Contract:

Internships

Experience:

Entry-level / graduate

Work from:

India

Offer summary

Qualifications:

Proficiency in statistical analysis., Strong understanding of machine learning., Solid Python programming skills., Experience with data visualization tools..

Key responsabilities:

Assist in designing data models.
Participate in data preprocessing.

TwiLearn EduTech Pvt. Ltd. https://twilearn.in/

11 - 50 Employees

See more TwiLearn EduTech Pvt. Ltd. offers

Job description

Skills:
Statistical Analysis, Machine Learning, Python Programming, Data Visualization, Predictive Modeling, Big Data, SQL, Data Mining,

Job Overview

The Data Scientist Intern role at TwiLearn offers freshers the opportunity to engage in real-world data analysis while working remotely. Located in major Indian cities, including Hyderabad, Chennai, Kolkata, Pune, Mumbai, Bangalore, and Noida, this internship seeks passionate candidates to assist in advanced data-related projects. The position requires no prior work experience and allows interns to collaborate with professionals from Promentix Software Solutions Pvt Ltd.

Qualifications And Skills

Proficiency in statistical analysis to interpret data efficiently and support informed decision-making.
Strong understanding of machine learning algorithms and applications (Mandatory skill).
Solid Python programming skills to develop and optimize data-processing algorithms (Mandatory skill).
Experience with data visualization tools to effectively communicate insights and trends.
Familiarity with predictive modeling techniques to forecast trends and outcomes from large datasets.
Knowledge of big data technologies to manage and analyze large-scale datasets effectively.
SQL skills for querying and managing datasets stored in relational databases.
A keen ability for data mining to extract valuable information from vast quantities of raw data.

Roles And Responsibilities

Assist in designing and developing data models that help in accurate data interpretation and decision-making.
Participate in the preprocessing of structured and unstructured data to prepare it for analysis and modeling.
Contribute to the development and refinement of analytical techniques for effective data interpretation.
Collaborate with mentors and stakeholders to align data-driven techniques with industry-specific requirements.
Support the implementation of machine learning models for predictive analysis and insights generation.
Utilize data visualization tools to create comprehensive reports and dashboards for stakeholders.
Work on industry-grade projects that enhance technical skills and industry knowledge.
Demonstrate the ability to work independently as well as in a team-oriented, collaborative environment.