Data Science Intern

Key Skills

Apache, Database, Python Programming, SQL, Tableau

Job Description

Deputy is a global cloud SaaS workforce management software company, HQ'd in Sydney (AU), San Francisco, and London (UK). We’ve helped 10s of millions of people across all industries in 70+ countries save time and money managing their hourly workforce so they can focus on what they do best, run thriving businesses.

We have crossed $100m ARR, with strong financial stability and backed by leading US/Global investors. Our Target Market is about 60% of the world’s workforce, an ambitious vision, matched with an incredible values-led culture. Come join us!

Our Data team are looking for a highly motivated and talented data science intern to join on an initial 6 month contract!

This role will work on a variety of projects, including developing and implementing machine learning models, analyzing data, and communicating findings to stakeholders.

Responsibilities:

• Develop and implement machine learning models to improve the accuracy and efficiency of our rostering and scheduling algorithms, as well as to predict customer churn and user expansion.
• Analyze data to identify trends and patterns that can be used to improve our products and services, with a specific focus on identifying customers who are at risk of churning or expanding their usage.
• Communicate findings to stakeholders in a clear and concise way, including recommendations for how to mitigate churn and encourage user expansion.
• Stay up-to-date on the latest trends in data science and machine learning, with a particular focus on churn prediction and user expansion prediction.

Skills and Experience:

• Undergraduate degree in computer science, data science, or a related field or working towards.
• Strong programming skills in Python, R, or a similar language.
• Experience with machine learning algorithms and statistical methods, through a university project or practical experience.
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.
• Growth mindset and willingness to learn.

Role:

Collect and clean data on customer usage, demographics, and other factors that may be associated with churn or user expansion.

Develop and train machine learning models to predict churn and user expansion.

Evaluate the performance of the models and make adjustments as needed.

Communicate the results of the analysis to stakeholders and make recommendations for how to improve retention and growth.

Why join?