Strides Digital is a company aims to accelerate the future of mobility via empowering businesses to capture value in their transformation journey through data and digitalisation. Our composable platform provides the comprehensive solution for companies looking to achieve business growth through AI and analytics.

Follow us here :

• https://www.linkedin.com/company/strides-digital/mycompany/

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

Roles 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.

Qualifications/Experience:

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

Skills Needed:

• 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.