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Credit Risk Data Science Jobs in Canton, OH (NOW HIRING)

Minimum cumulative GPA of 2.5 * Must have completed 30 or more credit hours by the end of the ... Manufacturing Engineering, Industrial Engineering, Data Analytics, Computer Science, Statistics, or ...

Process Improvement & AI Intern

Canton, OH · On-site

$19.25 - $33.50/hr

Minimum cumulative GPA of 2.5 * Must have completed 30 or more credit hours by the end of the ... Manufacturing Engineering, Industrial Engineering, Data Analytics, Computer Science, Statistics, or ...

The impact you'll have at Concora Credit: You'll be responsible for investigating consumer ... Identify issues in complaints that present compliance risk, poor customer experience, and ...

The impact you'll have at Concora Credit: You'll be responsible for investigating consumer ... Identify issues in complaints that present compliance risk, poor customer experience, and ...

The impact you'll have at Concora Credit: You'll be responsible for investigating consumer ... Identify issues in complaints that present compliance risk, poor customer experience, and ...

The impact you'll have at Concora Credit: You'll be responsible for investigating consumer ... Identify issues in complaints that present compliance risk, poor customer experience, and ...

Preferred Skills Client Prospecting, Client Relationship Building, Credit Risk Analysis, Customer ... data and on individual skills, experience, and education. This role is incentive eligible with the ...

Preferred Skills Client Prospecting, Client Relationship Building, Credit Risk Analysis, Customer ... data and on individual skills, experience, and education. This role is incentive eligible with the ...

Showing results 21-40

Credit Risk Data Science information

See Canton, OH salary details

$34.6K

$106.4K

$184.5K

How much do credit risk data science jobs pay per year?

As of Sep 11, 2026, the average yearly pay for credit risk data science in Canton, OH is $106,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,100.00 and $131,300.00 per year, depending on experience, location, and employer.

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What skills and qualifications are needed to thrive as a credit risk data scientist?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What job categories do people searching Credit Risk Data Science jobs in Canton, OH look for?

The top searched job categories for Credit Risk Data Science jobs in Canton, OH are:

Process Improvement & AI Intern

Canton, OH

Metallus
1 - 5K employees

$19.25 - $33.50/hr

Internship

Re-posted 23 days ago


Metallus rating

7.1

Company rating: 7.1 out of 10

Based on 28 frontline employees who took The Breakroom Quiz


Job description

Joining the Metallus team means becoming part of a legacy that dates back over a century. We are an industry leader, manufacturing the cleanest steel in the world for companies in the industrial, aerospace and defense, automotive, and energy markets. 

Metallus Internship Program

At Metallus, our internship program is designed to make you part of our team. You will have opportunities to grow your skills, develop as a leader, and network with our managers and leaders. Our program allows you to gain real work experience in a team environment. Metallus also supports your career readiness development through workshops with topics like resume building and interview prep.

Metallus Internship Includes:

  • Competitive salary ($19.25-$33.50 per hour)

    • Based upon major, degree type, and class status

  • Housing options (if eligible)

  • Free access to our 24/7 Wellness Center

  • Real-world experience that provides a competitive edge upon graduation

  • Casual work environment

  • Career planning and development workshops

  • Organized social activities and community service events

  • Networking with leadership, hiring managers, and early career colleagues

Internship Assignment: Full Time - Summer 2027

  • Start date: 05/17/2027

  • Assist with AI and advanced analytics projects, including data preparation, analysis, and visualization.

  • Support continuous improvement and process optimization projects within manufacturing operations.

  • Use manufacturing, reliability, and operational data to identify improvement opportunities related to OEE, delays, throughput, quality, and cost.

  • Present findings, insights, and recommendations at the conclusion of the internship.

Internship Qualifications:

  • Minimum cumulative GPA of 2.5

  • Must have completed 30 or more credit hours by the end of the spring 2027 semester

  • Must be a full-time student attending an accredited two-year or four-year college/university

  • Preferred majors: Manufacturing Engineering, Industrial Engineering, Data Analytics, Computer Science, Statistics, or related

  • Exposure to Lean manufacturing, Six Sigma, or continuous improvement concepts

  • Coursework or experience related to AI, machine learning, or data science

The company prohibits harassment or discrimination against any employee on the basis of any status protected by law, including, but not limited to, race, religion, color, national origin, ancestry, age, disability, genetic information, gender, sex or veteran status.


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