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Hourly Python Data Science Jobs in North Carolina

As Director, Data Science, you will lead a small, experienced team of data scientists and analytics ... Python. • Hands-on command of the end-to-end modeling lifecycle, from requirements gathering ...

... Science experience related to building a customer facing product - Strong Python programming skills - Experience/exposure to maintain production support alongside a team of engineers Preferred ...

Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages. Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ...

Director of Data Science

Charlotte, NC · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... in Python and/or R. Prior Management Experience Expertise in the end-to-end modeling lifecycle ...

Data Engineer

Charlotte, NC · On-site

$70.23/hr

They design software codes for various cases using Big Data technologies and Python. Data engineers collaborate with data scientists to improve data transparency and enable better decision-making ...

Develop predictive models and statistical analyses using Python R or similar tools * Deploy monitor ... Work with stakeholders to translate business objectives into data science solutions and actionable ...

Manager, Data Science Location: Charlotte, NC (Hybrid) We are seeking a Manager to join our Data ... Advanced use of computer languages and modeling packages such as R, SAS, and Python (Tensorflow ...

Manager, Data Science Location: Charlotte, NC (Hybrid) We are seeking a Manager to join our Data ... Advanced use of computer languages and modeling packages such as R, SAS, and Python (Tensorflow ...

Python Tutor

Matthews, NC · Remote

$18 - $40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Python Tutor

Durham, NC · Remote

$18 - $40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Python Tutor

Winston Salem, NC · Remote

$18 - $40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Data Science Tester Job Location : Charlotte, NC (ONSITE) Job Type : Full-Time Must Have Technical ... Python or similar scripting for exploratory analysis, validation, or repeatable checks. • ...

Python Tutor

Greensboro, NC · Remote

$18 - $40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Responsibilities : • Develop custom optimization tools in Python using Gurobi to solve complex ... data pipelines, and support system enhancements that enable scalable modeling and planning ...

Python Tutor

Wilmington, NC · Remote

$18 - $40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Python Tutor

Raleigh, NC · Remote

$18 - $40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Python Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

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Showing results 1-20

Hourly Python Data Science information

What is the difference between Hourly Python Data Science vs Data Analyst?

AspectHourly Python Data ScienceData Analyst
Required SkillsPython, statistical analysis, machine learningExcel, SQL, data visualization
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Common CertificationsPython certifications, data science coursesExcel, Tableau, SQL certifications

Hourly Python Data Science roles focus on advanced analytics, machine learning, and programming with Python, often in tech-driven environments. Data Analysts typically handle data cleaning, visualization, and reporting using tools like Excel and SQL. While both roles require data handling skills, Python Data Science positions demand programming expertise and statistical knowledge, making them more technical and specialized.

What are Hourly Python Data Science jobs?

Hourly Python Data Science jobs are roles where professionals use Python programming to analyze, interpret, and visualize data, and are paid based on the number of hours they work. These positions often involve tasks such as data cleaning, statistical analysis, machine learning, and data visualization. Hourly data science jobs offer flexibility for both employers and workers, making them popular for freelance, contract, or part-time arrangements. Python's robust libraries and tools make it a preferred language for these roles.

What are some common challenges faced by hourly Python Data Science professionals, and how can they be addressed?

Hourly Python Data Science professionals often encounter challenges such as managing multiple clients with varying expectations, adapting quickly to different data environments, and handling inconsistent workloads. To address these, it's important to establish clear communication with clients about project scope and deadlines, maintain well-organized code and documentation for easy context switching, and utilize tools like version control and virtual environments. Building a strong personal workflow and prioritizing time management can help ensure high-quality deliverables across diverse projects.

What are the key skills and qualifications needed to thrive as an Hourly Python Data Science professional, and why are they important?

To thrive as an Hourly Python Data Science professional, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by a degree in a quantitative field or equivalent experience. Familiarity with tools like Pandas, NumPy, scikit-learn, and data visualization libraries, as well as experience with version control systems like Git, is typically required. Strong problem-solving abilities, effective communication, and adaptability help you deliver insights and solutions to clients efficiently. These skills ensure accurate analysis, clear reporting, and the ability to meet diverse project needs in a flexible, project-based environment.
What are the most commonly searched types of Python Data Science jobs in North Carolina? The most popular types of Python Data Science jobs in North Carolina are:
What are popular job titles related to Hourly Python Data Science jobs in North Carolina? For Hourly Python Data Science jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Hourly Python Data Science jobs in North Carolina look for? The top searched job categories for Hourly Python Data Science jobs in North Carolina are:
What cities in North Carolina are hiring for Hourly Python Data Science jobs? Cities in North Carolina with the most Hourly Python Data Science job openings:
Infographic showing various Hourly Python Data Science job openings in North Carolina as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Director, Data Science

Director, Data Science

Lincoln Financial

Charlotte, NC • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 29 days ago


Lincoln Financial rating

7.4

Company rating: 7.4 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

210th of 281 rated insurance


Job description

Alternate Locations: Charlotte, NC (North Carolina); Fort Wayne, IN (Indiana); Greensboro, NC (North Carolina); Hartford, CT (Connecticut); Omaha, NE (Nebraska); Radnor, PA (Pennsylvania)
Work Arrangement:
Hybrid : Employee will work 3 days a week in a Lincoln office
Relocation assistance: is not available for this opportunity.
Requisition #: 76239
The Role at a Glance
Lincoln Financial is a Fortune 500 company and one of the nation's leading group benefits carriers. Our Advanced Analytics team sits at the heart of how the Group Protection business turns data into a competitive advantage. We partner deeply across functions - particularly Claims, Finance, and IT - on the strategic, multi-month and multi-year initiatives that move the business, spanning our disability and absence product suites and increasingly group life and supplemental health.
As Director, Data Science, you will lead a small, experienced team of data scientists and analytics professionals whose work bridges the most technical disciplines and the realities of running the business. This is not a back-office IT function: our team understands how a claim is actually managed, and we build solutions - from advanced AI to deep data and analytics engineering - that are technically rigorous and grounded in real operational and financial value. Our motto says it best: turning data into insights... and insights into value.
This is a builder's leadership role. You will develop and amplify the talent on the team, raise the bar on how we deliver, and put in place the practices and governance framework that lets us scale our impact. If you are excited to shape a high-potential team with a strong track record and a clear runway for growth, we want to hear from you.
What you'll be doing
Lead, coach, and grow the team - Manage a small team of data scientists across different levels and career stages, developing them technically and professionally and unlocking the full potential of an already strong group.
Champion the work to every audience - Serve as the bridge between deeply technical disciplines and business stakeholders, translating complex analytical work into clear narratives and confident decisions for non-technical partners across Claims, Finance, and beyond.
Drive strategic analytics initiatives - Own delivery of high-priority, multi-month and multi-year programs across Group Protection, with a primary focus on Claims and selective expansion into Underwriting, Finance, and Distribution as opportunities arise.
Build the practices and governance framework - Translate enterprise standards into a repeatable framework for documentation, validation, and governance - removing a key bottleneck so the team can create value consistently and at scale.
Mature the MLOps practice - Establish and evolve a robust MLOps framework spanning model development, deployment, monitoring, and iteration, so the team ships reliable solutions faster.
Build for reuse and scale - Develop reusable data assets, code and feature libraries, pipelines, and methodological frameworks that compound the team's velocity - turning one-off solutions into durable building blocks that accelerate future work and unlock higher ROI.
Infuse data science across our work - Work hands-on alongside the team to inject targeted data science techniques - including data engineering, pipelines, and solution architecture that moves data between front-end user solutions and back-end data tables - into analytics and AI initiatives, in close partnership with other technical and business groups.
Innovate continuously - Explore emerging modeling techniques, generative AI, new data sources, and tooling, bringing best practices that continually evolve how the team works.
What we're looking for
Requirements
• 8+ years of progressive experience in analytics, spanning areas such as data science, data engineering, analytics engineering, and data storytelling.
• Demonstrated experience leading, mentoring, and developing analytical talent.
• Strong proficiency in SQL and Python.
• Hands-on command of the end-to-end modeling lifecycle, from requirements gathering through deployment, monitoring, and validation.
• Experience establishing or operating MLOps practices, model governance, and data science standards.
• Exceptional communication and organizational skills - able to translate complex technical work for non-technical audiences, manage competing priorities, and keep stakeholders aligned.
• A genuine passion for developing people, building durable frameworks, and connecting technical work to measurable business and risk-management value.
Preferred
• Insurance industry experience - in actuarial science, business intelligence and reporting, data science, or a closely related analytical discipline.
• Master's, Ph.D. or Other Credentials in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, Economics, or a similar analytical field - or equivalent experience.
• Familiarity with group benefits products (disability, absence, group life, or supplemental health) and the operational realities of insurance functions.
• Experience with Dataiku.
• Exposure to generative AI solutions and their practical deployment in a business setting.
• Experience working at the intersection of data science, actuarial science, and business intelligence teams.
Application Deadline
Applications for this position will be accepted through August 26th, 2026 subject to earlier closure due to applicant volume.
What's it like to work here?
At Lincoln Financial, we love what we do. We make meaningful contributions each and every day to empower our customers to take charge of their lives. Working alongside dedicated and talented colleagues, we build fulfilling careers and stronger communities through a company that values our unique perspectives, insights and contributions and invests in programs that empower each of us to take charge of our own future.
What's in it for you:
  • Clearly defined career tracks and job levels, along with associated behaviors for each of Lincoln's core values and leadership attributes
  • Leadership development and virtual training opportunities
  • PTO/parental leave
  • Competitive 401K and employee benefits
  • Free financial counseling, health coaching and employee assistance program
  • Tuition assistance program
  • Work arrangements that work for you
  • Effective productivity/technology tools and training

The pay range for this position is $108,501 - $195,900 with anticipated pay for new hires between the minimum and midpoint of the range and could vary above and below the listed range as permitted by applicable law. Pay is based on non-discriminatory factors including but not limited to work experience, education, location, licensure requirements, proficiency and qualifications required for the role. The base pay is just one component of Lincoln's total rewards package for employees. In addition, the role may be eligible for the Annual Incentive Program, which is discretionary and based on the performance of the company, business unit and individual. Other rewards may include long-term incentives, sales incentives and Lincoln's standard benefits package.
About The Company
Lincoln Financial (NYSE: LNC) helps people to confidently plan for their version of a successful future. We focus on identifying a clear path to financial security, with products including annuities, life insurance, group protection, and retirement plan services.
With our 120-year track record of expertise and integrity, millions of customers trust our solutions and service to help put their goals in reach.
Lincoln Financial Distributors, a broker-dealer, is the wholesale distribution organization of Lincoln Financial. Lincoln Financial is the marketing name for Lincoln Financial Corporation and its affiliates including The Lincoln National Life Insurance Company, Fort Wayne, IN, and Lincoln Life & Annuity Company of New York, Syracuse, NY. Lincoln Financial affiliates, their distributors, and their respective employees, representatives and/or insurance agents do not provide tax, accounting or legal advice.
Lincoln is committed to creating an inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Follow us on Facebook, X, LinkedIn, Instagram, and YouTube. For the latest company news, visit our newsroom.
Be Aware of Fraudulent Recruiting Activities
If you are interested in a career at Lincoln, we encourage you to review our current openings and apply on our website. Lincoln values the privacy and security of every applicant and urges all applicants to diligently protect their sensitive personal information from scams targeting job seekers. These scams can take many forms including fake employment applications, bogus interviews and falsified offer letters.
Lincoln will not ask applicants to provide their social security numbers, date of birth, bank account information or other sensitive information in job applications. Additionally, our recruiters do not communicate with applicants through free e-mail accounts (Gmail, Yahoo, Hotmail) or conduct interviews utilizing video chat rooms. We will never ask applicants to provide payment during the hiring process or extend an offer without conducting a phone, live video or in-person interview. Please contact Lincoln's fraud team at fraudhotline@lfg.com if you encounter a recruiter or see a job opportunity that seems suspicious.
Additional Information
This position may be subject to Lincoln's Political Contribution Policy. An offer of employment may be contingent upon disclosing to Lincoln the details of certain political contributions. Lincoln may decline to extend an offer or terminate employment for this role if it determines political contributions made could have an adverse impact on Lincoln's current or future business interests, misrepresentations were made, or for failure to fully disclose applicable political contributions and or fundraising activities.
Any unsolicited resumes or candidate profiles submitted through our web site or to personal e-mail accounts of employees of Lincoln Financial are considered property of Lincoln Financial and are not subject to payment of agency fees.
Lincoln Financial ("Lincoln" or "the Company") is an Equal Opportunity employer and, as such, is committed in policy and practice to recruit, hire, compensate, train and promote, in all job classifications, without regard to race, color, religion, sex, age, national origin or disability. Opportunities throughout Lincoln are available to employees and applicants are evaluated on the basis of job qualifications. If you are a person with a disability that impedes your ability to express your interest for a position through our online application process, or require TTY/TDD assistance, contact us by calling 260-455-2558.
This Employer Participates in E-Verify. See the E-Verify notices.
Este Empleador Participa en E-Verify. Ver el E-Verify avisos.

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Lincoln Financial logo

About Lincoln Financial

Sourced by ZipRecruiter

Lincoln Financial Group, a Fortune 200 company with over 10,000 employees, provides advice and solutions that help empower Americans to take charge of their financial lives with confidence. Our core business areas - Life Insurance, Annuities, Retirement Plan Services and Group Protection - focus on supporting, preserving and enhancing over 17 million customer's lifestyles and retirement outcomes. Headquartered in Radnor, Pennsylvania, Lincoln Financial Group is the marketing name for Lincoln National Corporation (NYSE: LNC) and its affiliates. The company had $324 billion in end-of-period account values as of June 30, 2021. Ranked one of the Best Large Employers in America and Best Employers for Women by Forbes magazine as well as one of Newsweek's Most Responsible Companies, Lincoln Financial Group makes a serious investment in our employees' futures through a broad range of wealth accumulation and protection plans, health and wellness programs, and career development resources designed to help each individual reach their personal and professional goals.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

Radnor, PA, US

Year founded

1905