Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

The data science internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the internship, functional and demonstrable progress has been made in a way that can be integrated into the functional portfolio of the team. The data science internship does not necessarily transition to a full-time role at the end of the period. Depending on team need, firm budget, and fit, interns should not expect their time to conclude with an offer.

Responsibilities

Anomaly detection using deep neural networks
Numerical optimization applied to problems in manufacturing
Personal identifiable information (PII) and personal health information (PHI) detection in natural language
Understanding how to frame business problems as data science problems
Navigating the full data science lifecycle: research and exploration, development, deployment, support
Using correct model selection and training procedures to prevent common modeling errors
Creating reasonable test scenarios and diagnostic measures
Writing high quality Python (readable, reusable, modular, and well-abstracted code)
Using Linux, the terminal, and other core development tools
Understanding source control (git), containerization (docker) and deployment technologies (cicd/k8s)
Participating in code reviews
Contributing to team development processes and agile/scrum rituals
Helping to clarify and prioritize work, define success criteria, and own work item completion
Applying all relevant change management controls for risk and compliance policies
Presenting work clearly to technical and non-technical audiences

Requirements

Relevant majors and areas of expertise: Data Science, Computer Science, Mathematics, Natural or Social Sciences
Relevant additional backgrounds also considered
Uphold Crowe’s values of Care, Trust, Courage, and Stewardship
Act ethically and with integrity at all times
Must verify identity and eligibility to work in the United States
Must complete the required employment eligibility verification form upon hire
Not seeking sponsorship for work authorization at this time

Skills

Data Science
Python
Linux
Git
Docker
CICD
Kubernetes (K8s)

Location

United States

Work Type

Internship
Full-time

Experience Level

Internship

Education Level

Data Science
Computer Science
Mathematics
Natural or Social Sciences

Salary/Compensations

$27.00 - $42.00 per hour

Benefits

Comprehensive total rewards package
Career Coach guidance

About the Company

Crowe is one of the largest public accounting, consulting and technology firms in the United States.
Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services.
Crowe is recognized by many organizations as one of the country's best places to work.
Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world.
The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world.

Equal Opportunity

Crowe LLP and Crowe Advisory LLC (and their respective subsidiary entities) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status, or any other characteristic protected by federal, state or local laws.
Crowe will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act.
We are committed to a merit-based hiring process, evaluating all candidates consistently using objective, job-related criteria such as relevant experience, demonstrated skills, measurable impact, and alignment with the role’s responsibilities, and making employment decisions in a fair and inclusive manner free from discrimination.