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Internship Data Scientist Risk Jobs in Michigan (NOW HIRING)

Padagis is seeking a current college student or recent graduate to work as a Data Science Intern, working closely with our Business Transformation Team to provide support for various projects ...

Description Padagis is seeking a current college student or recent graduate to work as a Data Science Intern, working closely with our Business Transformation Team to provide support for various ...

Padagis is seeking a current college student or recent graduate to work as a Data Science Intern, working closely with our Business Transformation Team to provide support for various projects ...

As a Senior Data Scientist, DCC, you will use your knowledge of data and advanced analytics to ... Balance "doing it right" with "speed to delivery" by identifying and mitigating risk, generating ...

Design, build, validate, and maintain predictive models (e.g., attrition risk, internal mobility ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Design, build, validate, and maintain predictive models (e.g., attrition risk, internal mobility ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Design, build, validate, and maintain predictive models (e.g., attrition risk, internal mobility ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Analytics Scientist

Dearborn, MI · On-site +1

$130.88K - $169.54K/yr

... risk management. 4. Utilizing Statistical and Machine Learning Model Development to support ... Extract data from various data sources and platforms (big data platform, GCP, PC, Mainframe, Unix ...

Analytics Scientist

Dearborn, MI · On-site +1

$130.88K - $169.54K/yr

... risk management. 4. Utilizing Statistical and Machine Learning Model Development to support ... Extract data from various data sources and platforms (big data platform, GCP, PC, Mainframe, Unix ...

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Internship Data Scientist Risk information

What are the key skills and qualifications needed to thrive as an Internship Data Scientist in Risk, and why are they important?

To thrive as an Internship Data Scientist in Risk, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework in mathematics, data science, or a related field. Familiarity with machine learning libraries (e.g., scikit-learn), data visualization tools, and database management systems is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help distinguish candidates in this role. These skills are vital for accurately analyzing risk data, developing predictive models, and clearly presenting findings to support risk management decisions.

What types of projects can an internship data scientist in risk expect to work on, and how do these contribute to the organization's goals?

Internship data scientists in risk typically work on projects such as developing predictive models to assess credit risk, analyzing transaction data to detect fraud, and generating insights to improve risk management strategies. These assignments often involve collaborating with experienced data scientists, risk analysts, and business teams to ensure that models are both accurate and actionable. By contributing to these projects, interns help the organization make informed decisions that minimize financial losses and ensure regulatory compliance. The hands-on experience not only builds technical skills but also provides valuable exposure to real-world challenges in the risk domain.

What does an Internship Data Scientist Risk do?

An Internship Data Scientist Risk assists in analyzing data to identify, assess, and mitigate risks within an organization, often in fields like finance, insurance, or technology. They work with senior data scientists to build predictive models, analyze trends, and generate insights that support risk management strategies. Typical tasks include data cleaning, statistical analysis, and reporting findings to help the company make informed decisions. This internship provides hands-on experience with real-world data and risk scenarios, preparing interns for more advanced data science or risk analysis roles.
What are the most commonly searched types of Data Scientist Risk jobs in Michigan? The most popular types of Data Scientist Risk jobs in Michigan are:
What cities in Michigan are hiring for Internship Data Scientist Risk jobs? Cities in Michigan with the most Internship Data Scientist Risk job openings:
Infographic showing various Internship Data Scientist Risk job openings in Michigan as of May 2026, with employment types broken down into 4% Internship, 64% Full Time, 20% Part Time, 8% Temporary, and 4% Contract. Highlights an 99% Physical, and 1% Remote job distribution.
Internship, Data Science

Internship, Data Science

Padagis LLC

Wyoming, MI • Hybrid

$27/hr

Part-time

Posted 9 days ago


Job description

Padagis is seeking a current college student or recent graduate to work as a Data Science Intern, working closely with our Business Transformation Team to provide support for various projects involving both technical teams and functional business teams.

This position is targeting a minimum of 20 hours per week hybrid/on-site (up to 40 hours), minimum ending in August 2026, commitment beyond August is highly desired and flexible with academic commitments.

Job duties:

  • Data flow investigation and documenting mapping in various systems
  • Business process workflow mapping, document design creation
  • Potential dashboard creation using Power BI desktop
  • Supporting our Master Data and Robotic Process Automations (RPA) teams with various needs

    Required qualifications:

    • Incoming juniors, seniors or graduate students
    • Pursuing an undergraduate/grad degree in the technology space such as: Information Systems, Computer Science, Data Analytics, or related business discipline AND either has a minor, second major, or high interest in a non-technical department, such as:  Operations Finance, Supply Chain, Commercial, etc
    • High openness to experiences, naturally inquisitive, and proactively seeks to understand and has determination to root-cause analyze
    • Inherently a strong communicator: the ability to explain complex technical concepts in simple terms to non-technical stakeholders, and conversely, to articulate business needs to technical teams.
    • Available to work a minimum of 20 hours/week up to 40 hours, duration is negotiable

          Preferred qualifications:

          • Exposure to SAP ERP
          • Coding in Python, SQL, VB or R for statistical modelling and integrations into BI platforms (desired, but not required)

          Padagis Core Competencies:

          Since its beginning, Padagis has been undergoing the process of identifying what we believe will lead to the success of our organization in a competitive landscape. To that end, we have developed a set of five “core” competencies. We strive to bring employees on board the journey with us who exemplify these key competencies:

          • Service delivery – Understand who your internal and external customers are, identify their needs, and deliver value above their expectations…
          • Active collaboration – Seek opportunities to work together across teams, function, business units, and geographies to seek success…
          • Demonstrate agility – Proactively identify changes in our environment and act quickly, leading or embracing change…
          • Think differently – Create, develop, and implement new ideas, products, services, or processes that involve introducing something new or significantly improving something that already exists…
          • Excellent execution – Achieve outstanding results in all aspects of our organization, including our culture, leadership, strategy, and processes…

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          About Padagis

          Sourced by ZipRecruiter

          Industry

          Pharmaceutical and medicine manufacturing

          Company size

          201 - 500 Employees

          Headquarters location

          Allegan, MI, US

          Year founded

          2004