Data Science Engineering Intern

Emerson; Boulder (CO); On-site; USD 33,000 - 39,000; Full time

Benefits offered by this job

Monthly housing allowance

Paid holidays

Professional development opportunities

On-site cafeteria

Job summary

Emerson in Colorado is seeking a data analytics intern to build predictive BI dashboards and forecasts that inform planning decisions. You will work with cross-functional teams to translate operational data into actionable insights and support SIOP discussions.

The role emphasizes hands-on training in data science as part of a manufacturing analytics project lifecycle. The ideal candidate is pursuing an engineering degree, eager to learn Python/R/SQL, and ready for full-time in-person work in a

Qualifications

• Pursuing a bachelor’s degree in engineering
• Zero (0) years of related experience
• Ability to work full-time (40 hours) per week in-person
• Legal authorization to work in the United States

Responsibilities

• Develop a Power BI dashboard predicting future past-due backlog using CRD, PSD, model code, and status.
• Build weekly forecasts, heat maps, and simulations to quantify material and capacity impacts on backlog.
• Create a predictive surge capacity model for low-volume lines to guide investments and lead times.
• Apply data science methods (forecasting, modeling, visualization) to translate data into insights for planners.
• Collaborate with planning, operations, and engineering to validate models and align with priorities.
• Participate in data exploration through deployment and training across manufacturing analytics projects.

Skills

Analytical mindset

Curiosity

Data storytelling

Collaborative

Education

Bachelor’s degree in engineering

Tools

Power BI

Tableau

Python

R

SQL

Forecasting

Statistical modeling

Job description

In This Role, Your Responsibilities Will Be:

• Develop a Power BI dashboard that predicts future past-due backlog based on Customer Required Date (CRD), Planned Ship Date (PSD), model code, value stream, and material status, enabling planners to answer, \"What will be late next month?\" with data-driven confidence.

• Build weekly projected late backlog forecasts, top model code risk heat maps, and simulation tools that quantify the impact of material availability, capacity constraints, and scheduling decisions on backlog recovery.

• Create a predictive surge capacity model for low-volume product lines (e.g., CMFHC) that identifies demand mix variation, highlights bottlenecks by operation, and produces growth scenario analyses to guide investment prioritization and lead time stability.

• Apply data science methodologies, including statistical modeling, forecasting, and visualization, to translate complex operational datasets into actionable insights for planners, operations leaders, and SIOP discussions.

• Collaborate with cross-functional teams including supply chain planning, operations, and engineering to validate models, gather requirements, and ensure analytical tools align with business priorities and decision‑making workflows.

• Participate in multiple analytical projects at various stages, from data exploration and model development to dashboard deployment and user training, gaining a comprehensive understanding of the data science project lifecycle in a manufacturing context.

Who You Are:

• You are analytically minded and naturally curious, energized by turning raw data into clear, actionable insights. You take initiative in exploring new tools and methodologies, and you're not afraid to dive into ambiguous problems to find structure and meaning. You communicate complex findings in ways that resonate with both technical and non‑technical audiences. You thrive in collaborative environments and build strong relationships across teams, bringing enthusiasm and rigor to every project you touch.

For This Role, You Will Need:

• Pursuing a bachelor’s degree in engineering

• Zero (0) years of related experience

• Ability to work full‑time (40 hours) per week in‑person

• Legal authorization to work in the United States

Preferred Qualifications That Set You Apart:

• Experience with Power BI, Tableau, or similar data visualization platforms

• Familiarity with Python, R, SQL, or statistical modeling techniques

• Prior internship or project experience in data analytics, operations research, or supply chain

• Exposure to manufacturing, supply chain planning, or ERP/MES systems

Our Culture & Commitment to You:

• At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives – because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams working together are key to driving growth and delivering business results.

• We recognize the importance of employee wellbeing. Our culture prioritizes work‑life balance and offers flexible time off plans, including monthly housing allowance, paid holidays, employee choice hours, paid sick time, and paid volunteer time. You will also get hands‑on experience, professional development, and networking opportunities in our well‑established and structured internship program. There are also easy to access on‑site cafeterias, fitness facilities, employee resource groups, recognition, and much more.

• At Emerson, our employees’ passion for innovation and results drives our success. We actively pursue new technologies, capabilities and approaches to drive tangible value for our customers. To reward this passion for innovation and results, Emerson makes meaningful investments in our people. We provide competitive compensation, integrated benefits offerings, and fulfilling career journeys that support the growth of each employee. We firmly believe that when Emerson is successful in achieving its operational and financial goals, our employees share in the company’s success. The hourly pay for this role is $24-$28, commensurate with the year in school and experience each candidate brings to a role.

• This position will be open for a minimum of 7 days from the day of posting. Applicants are encouraged to apply early to receive optimal consideration. In compliance with the Colorado Job Application Fairness Act, in any materials you submit, you may redact or remove age‑identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information

WHY EMERSON (https://www1.emerson.com/en/corporate/careers/meet-emerson)

Our Commitment to Our People

Work Authorization

Emerson will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1(including those with OPT or CPT) , H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire.

Equal Opportunity Employer

Emerson is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.

Accessibility Assistance or Accommodation

If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: [e-mail] .

ABOUT EMERSON (https://www1.emerson.com/en/corporate/about-us)

Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability.

With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety.

We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you’re an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an advanced degree, you’ll find your chance to make a difference with Emerson. Join our team – let’s go!

Emerson is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.