Entry-level Positions for Aspiring Data Scientists at Newfront Insurance
Matthew suggests that undergraduate students interested in data science can consider roles such as "data engineer, analytics engineer, data analyst, [or] data scientist" to begin their careers, and that consulting can also be a helpful path as it provides exposure to different industries and opportunities to develop both data and people skills. Specifically, working as a data analyst in other parts of a business can improve data skills while consulting roles offer exposure to various industries, ultimately helping one discover their passions.
Data Science, Data Analysis, Data Engineering, Consulting, Entry-Level Positions
Advizer Information
Name
Job Title
Company
Undergrad
Grad Programs
Majors
Industries
Job Functions
Traits
Matthew Slodowitz
Senior Data Scientist
Newfront Insurance
University of Michigan
Mathematics, Data Science, Statistics
Insurance, Technology
Data and Analytics
Greek Life Member
Video Highlights
1. Entry-level data science roles include data engineer, analytics engineer, data analyst, and data scientist.
2. Consulting roles can provide exposure to different industries, helping individuals discover their passions and ideal work environment.
3. Working as a data analyst in various business areas enhances both data skills and interpersonal abilities.
Transcript
What entry-level positions are there in the field that an undergraduate college student might consider?
From a data science perspective, there are many routes within the data community. You can be a data engineer, an analytics engineer, a data analyst, or a data scientist.
For me, moving into consulting was a big factor in my data career. Working in a consulting role gave me experience in different industries. This helped me figure out what types of industries I wanted to work in and what I'm passionate about.
Conversely, working as a data analyst in other parts of the business has really helped me develop my data and people skills.
So, the roles you can look at are data analyst, data science, data engineering, and analytics engineering. Consulting is also an option, as many companies have general consulting roles. Within these companies and projects, there are also data analyst-heavy roles.