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Contract Python Data Analysis Jobs in Toledo, OH

... analysis and integration to support AI-driven initiatives - Utilizing programming languages such as Python and Java to enhance AI model deployment - Overseeing the creation and maintenance of data ...

New

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary ... is a plus - Proficient in Python and structured/unstructured data - Proficient in SQL and ...

AI Engineer

Toledo, OH · On-site

$50K - $112K/yr

... Python and TensorFlow - Integrating data from various sources to create unified views for analysis - Building and maintaining data pipelines to support AI model deployment - Applying complex data ...

Palantir Data Engineer

Perrysburg, OH · On-site +1

$107K - $129K/yr

Develop and maintain data transformations, ML workflows, and automation scripts using Python and ... Develop dashboards and operational UIs to enable business users and analysts. Collaborate with ...

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Contract Python Data Analysis information

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$13

$57

$84

How much do contract python data analysis jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for contract python data analysis in Toledo, OH is $57.68, according to ZipRecruiter salary data. Most workers in this role earn between $47.55 and $65.53 per hour, depending on experience, location, and employer.

What is a contract Python data analysis job?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What are the key skills and qualifications needed to thrive as a contract Python data analyst?

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What are some common challenges faced by contract Python data analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What are the most commonly searched types of Python Data Analysis jobs in Toledo, OH?

The most popular types of Python Data Analysis jobs in Toledo, OH are:

What are popular job titles related to Contract Python Data Analysis jobs in Toledo, OH?

For Contract Python Data Analysis jobs in Toledo, OH, the most frequently searched job titles are:

What job categories do people searching Contract Python Data Analysis jobs in Toledo, OH look for?

The top searched job categories for Contract Python Data Analysis jobs in Toledo, OH are:

What cities near Toledo, OH are hiring for Contract Python Data Analysis jobs?

Cities near Toledo, OH with the most Contract Python Data Analysis job openings:

Infographic showing various Contract Python Data Analysis job openings in Toledo, OH as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,970 per year, or $57.7 per hour.

AI & GenAI Data Scientist - Manager

Pwc

Toledo, OH • On-site

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring others to deliver quality. You will be responsible for coaching, leveraging team members' unique strengths, and managing performance to meet client expectations. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will also identify opportunities that contribute to the success of our firm, embracing technology and innovation to enhance your delivery and encouraging others to do the same.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Leading teams in the development of scalable machine learning models and solutions
- Managing complex data analysis and integration to support AI-driven initiatives
- Utilizing programming languages such as Python and Java to enhance AI model deployment
- Overseeing the creation and maintenance of data pipelines and infrastructure
- Applying deep learning techniques and neural networks to improve predictive analytics
- Collaborating with stakeholders to address data challenges and optimize AI applications
- Mentoring team members to develop skills in AI implementation and data engineering
- Validating data quality and compliance within AI frameworks
- Encouraging innovation and embracing change to drive business growth through AI solutions
What You Must Have
- At least a Bachelor's degree
- At least 6 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing complex data analysis and data modeling techniques
- Excelling in coaching and mentoring team members
- Embracing change and innovation in technology consulting
- Developing skills in neural networks and natural language processing

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK