Data Science Intern

LCS

Des Moines (IA)

On-site

USD 26,000 - 36,000

Full time

5 hours ago
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Benefits offered by this job

Mentorship
Senior leadership exposure
Networking opportunities
Competitive hourly rate

Job summary

LCS in Des Moines, IA, offers a Data Science Internship for 12 weeks (May through August) at 40 hours per week. Interns gain hands-on experience on meaningful projects that impact the business and present outcomes to senior leadership.

The program provides broad exposure to the organization and its operations. Interns will build dashboards and models using SQL, Python, and Power BI, while collaborating with analytics teams and leaders across departments.

Qualifications

  • Currently enrolled in a college or university program.
  • Curiosity and drive to dig deep into disparate data sources.
  • Strong technical skills with the ability to learn new tools quickly.
  • Strong communication, problem solving, and collaboration skills.
  • Eagerness to learn and contribute to a mission-driven organization.

Responsibilities

  • Help LCS continue to activate our analytics strategy by working on key business problems that deliver results and delight our residents.
  • Gain hands on experience working with our cloud analytics platform to build a variety of analytical solutions such as dashboards, models, casual interference and more.
  • Build technical skills using SQL, Python, and Power BI while also getting the opportunity to communicate your findings to internal business partners.
  • Partner closely with other analytics roles such as data engineering, data science, data analysis, and data governance.
  • Collaborate with leaders and team members across departments.
  • Participate in professional development and networking opportunities.
  • Present your project and summer experience to the senior leadership team at the conclusion of the internship.
  • Gain a broad understanding of our industry and operations through mentorship, training, and shadowing opportunities.

Skills

SQL
Python
Power BI
Data analysis
Communication
Collaboration

Education

College/university student

Tools

Cloud analytics platform

Job description

The Data Science Internship is a full-time, 12-week program (40 hours per week) running from May through August. Interns will gain hands‑on professional experience by contributing to meaningful projects that have a direct impact on the business. The program will conclude with a presentation to the senior leadership team, highlighting both the project outcomes and the overall internship experience. Throughout the summer, interns will also gain broad exposure to the organization and its operations.

Job Description
About the program

The Data Science Internship is a full-time, 12-week program (40 hours per week) running from May through August. Interns will gain hands‑on professional experience by contributing to meaningful projects that have a direct impact on the business. The program will conclude with a presentation to the senior leadership team, highlighting both the project outcomes and the overall internship experience. Throughout the summer, interns will also gain broad exposure to the organization and its operations.

Experience Is Everything.

At LCS, experience is everything. We provide you the opportunity to use your talents in a progressive, growing organization that makes a positive difference in the lives of the seniors we serve. If you are seeking an organization that gives back, you’ll love working here. Our principles and hospitality promises define our company culture. LCS employees can be found participating in volunteer activities, getting involved in our committees or collaborating with team members in our innovative workspace. You’ll find several opportunities to grow as a professional, serve the community, and enhance the lives of seniors.

What You’ll Do
  • Help LCS continue to activate our analytics strategy by working on key business problems that deliver results and delight our residents
  • Gain hands on experience working with our cloud analytics platform to build a variety of analytical solutions such as dashboards, models, casual interference and more
  • Build technical skills using SQL, Python, and Power BI while also getting the opportunity to communicate your findings to internal business partners
  • Partner closely with other analytics roles such as data engineering, data science, data analysis, and data governance
  • Collaborate with leaders and team members across departments
  • Participate in professional development and networking opportunities
  • Present your project and summer experience to the senior leadership team at the conclusion of the internship
  • Gain a broad understanding of our industry and operations through mentorship, training, and shadowing opportunities
What We’re Looking For
  • Currently enrolled in a college or university program
  • Curiosity and drive to dig deep into disparate data sources
  • Strong technical skills with the ability to learn new tools quickly
  • Strong communication, problem solving, and collaboration skills
  • Eagerness to learn and contribute to a mission-driven organization
Why join us?
  • Hands‑on experience in a professional environment
  • Mentorship and exposure to senior leadership
  • Opportunities for networking and career development
  • Meaningful project work that makes an impact
  • Competitive hourly rate: $22.50/hour
Our Commitment

LCS creates living experiences that enhance the lives of seniors. You’ll see this commitment in our people. They’re talented, dedicated professionals who truly care about residents, with each conducting his or her work with integrity, honesty and transparency according to the principles of LCS. We strive to help every community succeed—strengthening available resources, establishing proven practices that lead to long‑term growth and value for those living in, working for and affiliated with the community. Check us out on our website: https://www.lcsliving.com

a Post-offer Background Check, Including References Is Required.

LCS IS AN EQUAL OPPROTUNITY EMPLOYER.

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