Data Science Internship with Sofvie
Project scope
Categories
Data visualization Data analysis Data modelling Data scienceSkills
data cleansing data modeling data science workplace safety data-driven decision making machine learning algorithms statistical methods occupational safety and health predictive modeling data visualizationThe main goal of this data science internship with Sofvie is to analyze and explore occupational health and safety data in order to gain insights that will help improve workplace safety and reduce the likelihood of accidents or injuries. The data science interns will be expected to develop data models, perform data cleaning and analysis, and create data visualizations that will help identify patterns and trends in the data. The ultimate outcome is to use these insights to inform data-driven decisions that can enhance workplace safety and protect employee health.
To achieve the project goal, the data science interns will need to complete the following tasks:
- Collect and clean occupational health and safety data from various sources.
- Analyze the data using statistical methods and machine learning algorithms to identify patterns, trends, and anomalies.
- Develop predictive models using the data to forecast potential hazards and risks in the workplace.
- Create data visualizations to help communicate insights and findings to stakeholders.
- Collaborate with the data science team at Sofvie to share findings and recommendations, and to integrate insights into workplace safety protocols.
- Prepare a final report summarizing the data analysis, insights, and recommendations.
Throughout the project, the data science interns will be expected to communicate regularly with their primary supervisor at Sofvie and receive ongoing support and mentorship.
To support students in completing this data science internship project, we will offer the following resources and support:
- Access to relevant data sources and documentation on occupational health and safety concepts.
- Guidance and mentorship from the data science team at Sofvie, including weekly virtual check-ins with a primary supervisor.
- Access to relevant tools and technologies, including cloud computing platforms, data visualization tools, and relevant programming languages and libraries.
- Regular feedback and review of the work in progress to ensure students stay on track with the project goals.
- The provision of a clear project scope, goals, and deliverables at the beginning of the internship.
We will also make sure that students have a clear understanding of our company's values and goals, and how their work fits into these. We will encourage open communication and collaboration, and strive to create a supportive and inclusive environment that encourages creativity and innovation.
About the company
We are a software development company that creates tools to enable the workforce in their operational excellence journey. We can all build the safe workplace we deserve together.