Midwest Employers Casualty (MEC) is looking to improve the quality of life for employees severely injured on the job and help companies understand and mitigate their risk for workers’ compensation injuries by leveraging data science, machine learning, and AI tools to uncover actionable business insights and develop automated AI systems.
Requirements
- Demonstrate proficiency in Microsoft technologies such as SQL Server, Power BI, and the Office Suite.
- Utilize other applications effectively, including VS Code, Python, GitHub, Jira, and Confluence.
- Exposure to Cloud and Generative AI tools and solutions
- Proficiency with Excel; experience with database querying a plus.
- Proficiency with a programming language; python is preferred
Responsibilities
- Utilize machine learning and AI tools to uncover actionable business insights.
- Integrate disparate datasets from various internal and external sources to extract meaningful insights.
- Fulfill the data needs of internal and external stakeholders by delivering reports and electronic files as required.
- Participate in code reviews and validate code results through thorough analysis of data outputs.
- Observe and contribute to all stages of the model and application development lifecycle, including planning, requirements gathering, development, and testing.
- Develop a foundational understanding of information technology, particularly in relation to data, data warehousing, ETL processes, and data mining.
- Utilize data to address assigned business challenges, providing written, graphical, and verbal summaries of analyses.
Other
- This internship offers a unique opportunity to gain hands-on experience in a professional data science environment, providing exposure to various aspects of full-stack data science, including data management, advanced modeling, analytics, visualization, and communication of insights.
- In addition to developing core data science skills, you will gain knowledge in IT systems, project management methodologies, the software development lifecycle, and the insurance industry.
- We value employees who are proactive, adaptable, dependable, and enjoy collaborating as part of a team.
- Our ideal candidate is eager to explore new challenges and gain exposure to code management, report automation, documentation, and requirement gathering in addition to core technical data science skills.
- This internship provides an excellent opportunity to expand your knowledge, skills, and professional network.
- Applications should be working toward an undergraduate or master’s degree with a focus in Data Science, Statistics, Mathematics, Computer Science, or related fields.
- Clearly demonstrates and models WR Berkley and Midwest innovation behaviors.
- Highly self-motivated and self-directed.
- Passion for working with data to solve problems.
- Strong analytical and critical thinking skills.
- Ability to communicate data insights verbally and visually.
- Proficiency in offering and actively engaging with constructive feedback.
- This is a year-round internship based in a hybrid in-office setting at our Chesterfield location.
- Sponsorship not Offered for this Role
