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Entry Level Fintech Data Scientist Jobs in Ohio (NOW HIRING)

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

As a Data Scientist in our organization, you will play a crucial role in disrupting current ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

As a Data Scientist in our organization, you will play a crucial role in disrupting current ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Data Analyst

Hilliard, OH

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 66th on FinTech 100 35th among top private companies in New Jersey Collabera recognizes true ... Other relevant work experience may be substituted Qualifications BS in Statistics, Computer Science ...

Scientist I

Stow, OH · Hybrid

$68K - $90K/yr

This entry-level position is ideal for someone who works well on a team, can manage several tasks ... Organizing and reviewing data and assisting in the development of reports * Representing client ...

Scientist I

Stow, OH · Hybrid

$68K - $90K/yr

This entry-level position is ideal for someone who works well on a team, can manage several tasks ... Organizing and reviewing data and assisting in the development of reports * Representing client ...

Scientist I

Stow, OH · On-site

$68K - $90K/yr

This entry-level position is ideal for someone who works well on a team, can manage several tasks ... Organizing and reviewing data and assisting in the development of reports * Representing client ...

Scientist I

Stow, OH · On-site

$68K - $90K/yr

This entry-level position is ideal for someone who works well on a team, can manage several tasks ... Organizing and reviewing data and assisting in the development of reports * Representing client ...

Scientist I

Stow, OH · Hybrid

$68K - $90K/yr

This entry-level position is ideal for someone who works well on a team, can manage several tasks ... Organizing and reviewing data and assisting in the development of reports * Representing client ...

Cyber Research Scientist (Early Career)

Columbus, OH · On-site

$112K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Responsibilities As a Cyber Research Scientist - Entry Level, you will support senior researchers ... Bachelor's degree in Cybersecurity, Computer Science, Intelligence Studies, Data Science, or a ...

... * Entry level or 0-2 years of software development experience, preferably in a research or ... Experience with data visualization and analysis tools. * Interest in scientific research and ...

... * Entry level or 0-2 years of software development experience, preferably in a research or ... Experience with data visualization and analysis tools. * Interest in scientific research and ...

Materials Research Scientist

Dayton, OH

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Core4ce is seeking an entry-level Ph.D. scientist to support an advanced materials research and ... data reduction and interpretation. * Support fabrication, assembly, and testing of prototype ...

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Entry Level Fintech Data Scientist information

What does an entry level fintech data scientist do?

An Entry Level Fintech Data Scientist works with financial data to build models, analyze trends, and help companies make data-driven decisions. They typically use programming languages like Python or R, along with statistical and machine learning techniques, to extract insights from large financial datasets. Their day-to-day tasks may include cleaning data, developing predictive models, visualizing results, and collaborating with finance and engineering teams. This role is crucial for improving financial products, detecting fraud, and optimizing business strategies in the fintech industry.

What are the key skills and qualifications needed to thrive as an entry level fintech data scientist, and why are they important?

To thrive as an Entry Level Fintech Data Scientist, you need a solid background in statistics, programming (Python or R), and foundational knowledge of finance or economics, often supported by a relevant degree. Familiarity with data analysis tools such as SQL, machine learning frameworks like scikit-learn, and experience with cloud platforms or financial databases are typically required. Strong problem-solving skills, attention to detail, and effective communication help you interpret data insights and present findings to both technical and non-technical stakeholders. These competencies are crucial for developing accurate data models and delivering actionable insights in the fast-paced fintech industry.

What are some common challenges faced by entry level fintech data scientists, and how can they overcome them?

Entry-level data scientists in fintech often encounter challenges such as working with highly sensitive financial data, navigating complex regulatory requirements, and keeping up with rapidly evolving technologies. It can also be daunting to translate data findings into actionable business insights for stakeholders who may not have a technical background. To overcome these challenges, it's helpful to develop strong communication skills, seek mentorship from experienced colleagues, and stay updated on industry best practices and compliance standards. Regular collaboration with cross-functional teams, such as engineering and product, is also essential for building a solid foundation and advancing in the fintech sector.

What is the difference between Entry Level Fintech Data Scientist vs Entry Level Data Analyst?

AspectEntry Level Fintech Data ScientistEntry Level Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of programming languages like Python or RBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and basic data visualization tools
Work EnvironmentFinancial technology companies, banks, or fintech startups; focus on developing predictive models and algorithmsVarious industries including finance, marketing, and healthcare; focus on data reporting and basic analysis
Employer & Industry UsageCommonly employed in fintech firms to build data-driven products and servicesWidely used across industries for business insights and reporting

In summary, an Entry Level Fintech Data Scientist typically requires programming skills and focuses on building models within fintech companies, while an Entry Level Data Analyst emphasizes data reporting and visualization across various industries. Both roles serve different analytical needs but share foundational data skills.

What are the most commonly searched types of Fintech Data Scientist jobs in Ohio?

The most popular types of Fintech Data Scientist jobs in Ohio are:

What are popular job titles related to Entry Level Fintech Data Scientist jobs in Ohio?

For Entry Level Fintech Data Scientist jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Entry Level Fintech Data Scientist jobs in Ohio look for?

The top searched job categories for Entry Level Fintech Data Scientist jobs in Ohio are:

What cities in Ohio are hiring for Entry Level Fintech Data Scientist jobs?

Cities in Ohio with the most Entry Level Fintech Data Scientist job openings:

Infographic showing various Entry Level Fintech Data Scientist job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Data Scientist

Procter & Gamble

Cincinnati, OH • On-site

$85K - $122K/yr

Full-time

Re-posted yesterday


Procter & Gamble rating

8.3

Company rating: 8.3 out of 10

Based on 164 frontline employees who took The Breakroom Quiz

67th of 540 rated manufacturers


Job description

Job Location

CINCINNATI GENERAL OFFICES

Job Description

Do you enjoy solving billion-dollar data science problems across trillions of data points? Are you passionate about working at the cutting edge of interdisciplinary boundaries, where computer science meets hard science? If you like turning untidy data into nonobvious insights and surprising business leaders with the transformative power of Artificial Intelligence (AI), including Generative and Agentic AI, we want you on our team at P&G.

As a Data Scientist in our organization, you will play a crucial role in disrupting current business practices by designing and implementing innovative models that enhance our processes. You will be expected to constructively research, design, and customize algorithms tailored to various problems and data types. Utilizing your expertise in Operations Research (including optimization and simulation) and machine learning models (such as tree models, deep learning, and reinforcement learning), you will directly contribute to the development of scalable Data Science algorithms. Your work will also integrate advanced techniques from Generative and Agentic AI to create more dynamic and responsive models, enhancing our analytical capabilities. You will collaborate with Data and AI Engineering teams to productionize these solutions, applying exploratory data analysis, feature engineering, and model building within cloud environments on massive datasets to deliver accurate and impactful insights. Additionally, you will mentor others as a technical coach and become a recognized expert in one or more Data Science techniques, quantifying the improvements in business outcomes resulting from your work.

Key Responsibilities:
  • Algorithm Design & Development: Directly contribute to the design and development of scalable Data Science algorithms.
  • Collaboration: Work closely with Data and Software Engineering teams to effectively productionize algorithms.
  • Data Analysis: Apply thorough technical knowledge to large datasets, conducting exploratory data analysis, feature engineering, and model building.
  • Coaching & Mentorship: Develop others as a technical coach, sharing your expertise and insights.
  • Expertise Development: Become a known expert in one or multiple Data Science techniques and methodologies.

Job Qualifications

Required Qualifications:

  • Education: Pursuing or has graduated with a Master’s degree in a quantitative field (Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or possess equivalent work experience.
  • Technical Skills: Proficient in programming languages such as Python and familiar with data science/machine learning libraries like OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, and Pandas. Demonstrated ability to develop and test code within cloud environments.
  • Communication: Strong written and verbal communication skills, with the ability to influence others to take action.

Preferred Qualifications:

  • Analytic Methodologies: Experience applying analytic methodologies such as Machine Learning, Optimization, Simulation, and Generative and Agentic AI to real-world problems.
  • Continuous Learning: A commitment to lifelong learning, keeping up to date with the latest technology trends, and a willingness to teach others while learning new techniques.
  • Data Handling & Cloud: Experience with large datasets and developing in cloud computing platforms such as GCP or Azure.
  • DevOps Familiarity: Familiarity with DevOps environments, including tools like Git and CI/CD practices.

Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&G along with other work authorization FAQ’s, please click HERE. 

Procter & Gamble participates in e-verify as required by law. 

Qualified individuals will not be disadvantaged based on being unemployed. 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Schedule

Full time

Job Number

R000135859

Job Segmentation

Entry Level

Starting Pay / Salary Range

$85,000.00 - $122,200.00 / year

What Procter & Gamble employees say

Pay

Benefits

Hours and flexibility

Workplace

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Procter & Gamble logo

About Procter & Gamble

Sourced by ZipRecruiter

Procter & Gamble (P&G), based in Cincinnati, OH, US, is a multinational consumer goods corporation. The company operates in the Consumer Discretionary sector and has a presence in various industries including Beauty, Health Care, Grooming, Fabric & Home Care, and Baby, Feminine & Family Care. Since its foundation by William Procter and James Gamble in 1837, P&G has grown to become a leading player in the consumer goods market. The corporation prides itself on its core values of leadership, ownership, integrity, passion for winning, and trust. They aim to improve consumers' lives in small but significant ways, with a mission to provide branded goods and services of superior quality and value.

Industry

Health and personal care stores

Company size

10,000+ Employees

Headquarters location

Cincinnati, OH, US

Year founded

1837