Strides Digital – Data Science Intern

Job description 

We are looking for data analytics & data science intern. You will assist in collecting, analyzing, and interpreting data to provide actionable insights and assist senior data analysts in various analytical projects.

Role and Responsibilities:

• Perform data mining, processing, cleansing, and validation to ensure the integrity and accuracy of data used in constructing analytical systems.
• Assist in conducting exploratory data analysis, applying basic statistical methods, and visualizing data to identify trends, patterns, and outliers.
• Create reports, dashboards and visualization to present insights and key findings to empower clients and stakeholders with actionable information for informed decision-making.
• Build and implement machine learning / predictive/optimization models to generate useful insights and make data-driven predictions.
• Engage in collaborative efforts with cross-functional implementation teams to formulate and convert problems into high-impact actionable insights, covering diverse core business areas.
• Research new data science techniques, tools, and algorithms to enhance the team's capabilities and contribute to innovation.
• Assist in organizing and managing data repositories, documenting data sources, methodologies, and findings, and ensuring data security and privacy.

Skills:

• Proficiency in conducting data analysis, exploring data sets, identifying patterns, and deriving insights using statistical techniques.
• Ability to work with large datasets, ensuring accuracy and attention to detail in data analysis and interpretation.
• Understanding of statistical concepts, and familiarity with machine learning algorithms, such as linear regression, decision trees, clustering, etc.
• Drive to learn new technologies, statistical methods, and data manipulation techniques.
• Excellent written and verbal communication skills to effectively convey analysis results and collaborate with team members and stakeholders.
• Ability to work well in a team-oriented environment, collaborating with colleagues and contributing to team objectives.

Qualifications and Professional Expertise:

• Bachelor's degree or Postgraduate degree in Data Analytics, Data Science, Statistics, Operation Research (OR), Artificial Intelligence or equivalent qualifications
• Proficient in working with at least one of the following programming skills: Python, SQL to manipulate data, implement algorithms, and perform data analysis tasks.

• Proficient in data visualization tools (Tableau, PowerBI, matplotlib or other python graphing libraries etc) to present data findings in a visually appealing and informative manner.