Entry-level Positions for Aspiring Generative AI Scientists at Property Software Company

For undergraduates looking to enter this field, there are several entry points. Junior data analyst or junior data scientist are common starting points. In these positions, you might work on tasks like data cleaning, exploratory data analysis, and building simple predictor models.

Data analyst roles can be a great entry point, especially if you're interested in the business application of data. These roles often involve creating dashboards, generating reports, and providing data-driven insights to inform business decisions.

For those with a strong coding background, entry-level machine learning engineer positions can be a great fit. These roles often focus more on the implementation and deployment of machine learning models.

There are also research assistant positions in university AI/ML labs or corporate research departments. These can be excellent for those interested in cutting-edge research, offering exposure to advanced techniques and the opportunity to contribute.

Business intelligence analyst roles can be a good fit for those who want to bridge the gap between data and business. These positions often involve working with data visualization tools and translating data insights into business recommendations.

Lastly, don't overlook internships. Many tech companies offer data science or AI internships that can provide valuable experience and potentially lead to a full-time position.

Remember that the key at this stage is to get hands-on experience. Look for opportunities to work with real data and solve actual business problems. Also, consider contributing to open-source projects or participating in data science competitions to build your skills and portfolio.