ZipRecruiter

Log In

1

Python Notebook Jupyter Jobs in Glasgow, DE (NOW HIRING)

Varsity Tutors

Data Science Tutor

Chester, PA · Remote

$18 - $40/hr

... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

Best Egg

Decisioning Execution Analyst

Wilmington, DE · On-site

$60 - $80/hr

Use Python, SQL, Excel, and reporting tools to automate repeatable processes where appropriate ... Experience with Jupyter Notebooks, rules engines, or decision platforms is a plus. * Interest in ...

Varsity Tutors

Machine Learning Tutor

Chester, PA · Remote

$18 - $40/hr

Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to support students from introductory statistics-based ML through advanced deep learning and deployment.

Best Egg

Decisioning Execution Analyst

Wilmington, DE · On-site

Use Python, SQL, Excel, and reporting tools to automate repeatable processes where appropriate ... Experience with Jupyter Notebooks, rules engines, or decision platforms is a plus. * Interest in ...

All JobsPython Notebook Jupyter JobsPython Notebook Jupyter Jobs in Glasgow, DE

Python Notebook Jupyter information

See Glasgow, DE salary details

$12

$56

$83

How much do python notebook jupyter jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for python notebook jupyter in Glasgow, DE is $56.78, according to ZipRecruiter salary data. Most workers in this role earn between $46.78 and $64.52 per hour, depending on experience, location, and employer.

What is a Python Notebook Jupyter?

Python Notebook Jupyter, commonly referred to as Jupyter Notebooks, are interactive web-based tools that allow users to write and execute Python code in a segmented, cell-based format. They are widely used for data analysis, machine learning, and visualization, providing an intuitive way to mix code, visualizations, and narrative text. Jupyter Notebooks are popular among researchers, data scientists, and educators for their flexibility and ease of sharing results. Additionally, they support multiple programming languages with the appropriate kernels, though Python is the most commonly used.

What are the key skills and qualifications needed to thrive as a Jupyter Notebook developer?

To thrive as a Jupyter Notebook Developer, you need strong proficiency in Python programming, data analysis, and a solid understanding of computational notebooks. Familiarity with Jupyter Notebook, data visualization libraries (such as Matplotlib, Seaborn), and tools like pandas and NumPy is typically required. Excellent communication, problem-solving skills, and attention to detail help convey complex ideas and collaborate effectively with team members. These skills enable efficient, reproducible, and collaborative data analysis workflows essential for research and data-driven decision-making.

How does a Python Notebook Jupyter developer typically collaborate with data scientists and other team members on projects?

As a Python Notebook Jupyter developer, collaboration with data scientists, analysts, and other stakeholders is a key aspect of the role. Developers often work in cross-functional teams, using Jupyter Notebooks to create, document, and share code, analyses, and visualizations in an interactive format. Effective communication is essential, as you may need to explain your code, help troubleshoot issues, or integrate feedback from peers. Version control tools like Git are commonly used to manage contributions and ensure smooth collaboration across the team.

What is the difference between Python Notebook Jupyter vs Data Analyst?

AspectPython Notebook JupyterData Analyst
CredentialsBasic programming knowledge, Python skillsDegree in statistics, data science, or related field
Work EnvironmentData science teams, research labs, tech companiesBusiness environments, consulting firms, finance, marketing
UsageData exploration, visualization, prototypingData cleaning, analysis, reporting

Python Notebook Jupyter is a tool primarily used for coding, data exploration, and visualization, often by data scientists and researchers. Data Analysts focus on interpreting data, creating reports, and supporting decision-making. While both roles work with data, Jupyter notebooks are a technical tool used by data analysts as well, but the roles differ in scope and focus.

Python Notebook Jupyter jobs near you
Infographic showing various Python Notebook Jupyter job openings in Glasgow, DE as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 7% Part Time, and 5% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $118,110 per year, or $56.8 per hour.

Decisioning Execution & Validation Analyst

Best Egg

Wilmington, DE • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

Best Egg, now part of Barclays, is a market-leading, tech-enabled financial platform helping people build financial confidence through innovative lending solutions and financial health tools. As a Barclays company, we combine the agility and customer focus of a fintech with the global reach, stability, and purpose of a leading financial institution—working together to create a better financial future for our customers and communities.


At Best Egg, you’ll find a culture grounded in our core values—putting people first, creating clarity, delivering with excellence —enhanced by Barclays’ commitment to integrity, inclusion, and long-term impact. Together, we empower our colleagues to challenge, innovate, and take ownership while making a meaningful difference in people’s financial lives.


With the strength of Barclays behind us, we offer expanded opportunities for growth, development, and career mobility across a global organization—while continuing to build the products and experiences that make Best Egg unique.


We’re looking for collaborative, curious problem-solvers who are excited to make an impact and grow with us.


We’re proud to be an equal opportunity employer committed to building a diverse and inclusive team.

We are seeking a Decisioning Execution Analyst to support the execution, testing, monitoring, and ongoing maintenance of decision strategies across our lending products. This role sits at the intersection of strategy, analytics, and technology, helping ensure that approved credit and pricing strategies are accurately translated into production logic and executed as intended.

This individual will play an important role in supporting decision changes from business requirements through deployment and validation, while partnering closely with stakeholders across Credit, Product, Risk, and Engineering. The ideal candidate is analytical, detail-oriented, technically curious, and excited to build expertise in decisioning, controls, and process improvement.


Key Responsibilities-Decision Strategy Implementation
  • Support change execution across third-party platforms, internal tools, or partner-specific decisioning environments.
  • Translate business requirements and approved strategies into clear specifications, logic, and implementation support materials.
  • Help ensure decision logic is aligned to business intent, policy, and approval documentation.
Key Responsibilities-Testing, Validation, and Controls
  • Perform user acceptance testing, production verification testing, and other validation activities for strategy changes.
  • Help develop and maintain repeatable testing processes and quality checks to improve execution accuracy and consistency.
  • Maintain documentation including specifications, test evidence, validation results, and change logs.
  • Support auditable and well-controlled implementation practices in a regulated environment.
Key Responsibilities-Cross-Functional Partnership
  • Communicate testing outcomes, implementation status, issues, and risks clearly and effectively.
  • Support multiple initiatives simultaneously while maintaining high quality and strong attention to detail.
  • Fulfill data requests, simulations, and analyses in support of strategy and business partners.
Key Responsibilities-Process Improvement and Automation
  • Identify opportunities to improve workflows, reduce manual work, and strengthen execution controls.
  • Use Python, SQL, Excel, and reporting tools to automate repeatable processes where appropriate.
  • Contribute to scalable reporting, testing, and implementation support processes as team needs evolve.
Qualifications-Required Experience
  • 1-3 years of experience in an analytics, implementation, operations, decisioning, or similar role.
  • Bachelor's degree in Statistics, Mathematics, Economics, Finance, Engineering, Computer Science, Data Science, or other quantitative or related field.
  • Proficiency in Python, SQL, and Excel.
  • Strong analytical, critical thinking, and problem-solving skills.
  • Strong attention to detail and commitment to accuracy.
  • Ability to translate business requirements into structured logic, documentation, or technical specifications.
  • Excellent written and verbal communication skills.
  • Ability to work effectively independently and as a team member.
Qualifications-Preferred Experience
  • Experience in financial services, fintech, or consumer lending.
  • Exposure to credit, pricing, or other decisioning workflows.
  • Experience with testing, validation, quality assurance, or production support processes.
  • Experience with Jupyter Notebooks, rules engines, or decision platforms is a plus.
  • Interest in automation, process improvement, and reducing repetitive manual work.
Qualifications-Skills and Competencies
  • Strong organizational skills and ability to manage multiple priorities.
  • Comfortable working in a cross-functional environment with both business and technical stakeholders.
  • Willingness to learn new systems, tools, and decisioning processes.
  • Ability to adapt in a fast-paced environment while maintaining quality and control.
  • Team-oriented mindset with a strong sense of ownership and follow-through.

Employee Benefits

Best Egg offers many additional benefits for our employees, including (but not limited to):

· Pre-tax and post-tax retirement savings plans with a competitive company matching

program

· Generous paid time-off plans including vacation, personal/sick time, paid short--

term and long-term disability leaves, paid parental leave, and paid company

holidays

· Multiple health care plans to choose from, including dental and vision options

· Flexible Spending Plans for Health Care, Dependent Care, and Health

Reimbursement Accounts

· Company-paid benefits such as life insurance, wellness platforms, employee

assistance programs, and Health Advocate programs

· Other great discounted benefits include identity theft protection, pet insurance,

fitness center reimbursements, and many more!

In compliance with the CCPA, Best Egg is fully committed to handling the personal information and data of employees and job applications responsibly with respect and due care. Review our CCPA Employee Policy here

#J-18808-Ljbffr

Apply