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Remote Machine Learning Finance Jobs in Wayne, PA

Machine learning * Data visualization * Data manipulation Qualifications Preferred applicants will ... the university finances or alumni funds only), verification of education and professional ...

About Abacum Abacum is the leading Business Planning solution for finance teams to drive ... Background in machine learning or predictive modeling to derive insights from large datasets.

Translate engineering requirements into structured CAD data suitable for AI learning and validation ... CNC machining. * Casting and forging. * Assembly modeling. * CAD editing and feature tree ...

Ability to explain statistical modeling techniques, machine learning basics, and business ... finance, and supply chain applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Showing results 41-60

Remote Machine Learning Finance information

See Wayne, PA salary details

$22.7K

$83.9K

$122.8K

How much do remote machine learning finance jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote machine learning finance in Wayne, PA is $83,940.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $98,800.00 per year, depending on experience, location, and employer.

What is a remote machine learning finance professional?

A Remote Machine Learning Finance job involves applying machine learning techniques and algorithms to financial data and problems, often from a remote location. Professionals in this field develop models to predict market trends, assess risks, automate trading, or detect fraud using large datasets. Remote roles allow employees to work from anywhere, collaborating with teams virtually and using cloud-based tools to analyze data. These positions typically require strong programming skills, knowledge of finance, and experience with machine learning frameworks.

How do remote machine learning finance professionals typically collaborate with cross-functional teams?

Remote machine learning professionals in finance often work closely with data analysts, financial experts, and software engineers to develop and deploy predictive models. Collaboration is typically facilitated through virtual meetings, shared documentation, and project management tools. Clear communication and regular check-ins are crucial for aligning goals and ensuring that machine learning solutions address real business needs. Many organizations also encourage participation in virtual workshops and code reviews to maintain a strong sense of teamwork despite the remote setting.

What are the key skills and qualifications needed to thrive as a remote machine learning finance professional?

To excel in Remote Machine Learning Finance, strong analytical skills, a solid background in statistics or mathematics, and experience with financial data are essential, often supported by a degree in computer science, finance, or a related field. Familiarity with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or Scikit-learn), and knowledge of financial modeling tools are typically required. Excellent problem-solving, communication, and the ability to work independently are standout soft skills in this remote environment. These abilities are crucial for developing effective financial models, interpreting complex data, and collaborating with distributed teams to drive business value.

What job categories do people searching Remote Machine Learning Finance jobs in Wayne, PA look for?

The top searched job categories for Remote Machine Learning Finance jobs in Wayne, PA are:

What cities near Wayne, PA are hiring for Remote Machine Learning Finance jobs?

Cities near Wayne, PA with the most Remote Machine Learning Finance job openings:

Infographic showing various Remote Machine Learning Finance job openings in Wayne, PA as of June 2026, with employment types broken down into 2% As Needed, 48% Full Time, 48% Part Time, and 2% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $83,940 per year, or $40.4 per hour.

Adjunct Faculty- Data Science

Eastern University

PA • On-site, Remote

Part-time

Medical, Life, Retirement, PTO

Re-posted 5 days ago


Job description

Location : St. Davids
Job Type: Adjunct Faculty
Remote Employment: Remote Optional
Job Number: 515
Department: Data Science - (College of Health and Sciences)
Opening Date: 01/25/2024
Join our vibrant community of dedicated faculty and staff who work to create a transformative educational experience rooted in faith, reason, and justice.
Eastern University is a nationally-recognized Christian university enrolling approximately 9,000 students in a wide array of undergraduate, graduate, professional, and seminary programs. The university's main campus is located in St. Davids, PA, with many programs also offered online. Eastern's core values of Faith, Reason, and Justice are woven into all of its educational offerings. Through dynamic programs, a vibrant campus community, and meaningful service learning opportunities, Eastern University is committed to providing students with transformative, accessible, and affordable education.
Position Description
Eastern University, a Christian university of humanities, health, arts and natural and social sciences, invites applications for an adjunct instructor of Data Science. Positions are available for both on-ground synchronous and online asynchronous instruction. This position can be remote.
We seek instructors for courses including material in the following areas:
  • Python
  • R and Tidyverse
  • Databases and database management with SQL
  • Business analytics
  • Introductory statistics
  • Intermediate statistics
  • Machine learning
  • Data visualization
  • Data manipulation

Qualifications
Preferred applicants will have a M.S. or Ph.D. in Computer Science, Mathematics, Data Science, Business Analytics, or related field, and experience teaching at the college/university level.
Supplemental Information
To apply, applicants must submit a cover letter to include a brief statement of their faith, curriculum vitae, unofficial copies of graduate transcripts, and three current professional references.
About Eastern University
Eastern University is a Christian university of the arts and sciences that integrates faith, reason and justice for students in its undergraduate, graduate, seminary, urban, professional and international programs. Applicants should have a Christian commitment compatible with its mission and be willing to support the mission and vision of the university. The university complies with federal and state guidelines of nondiscrimination in employment; members of protected classes encouraged to apply.
Background Checks
Standard University employees are required to complete the background clearance process. Employment is contingent upon the successful results of an employment background screening. The employment background screening may include but is not limited to your consumer credit history (for positions that work with the university finances or alumni funds only), verification of education and professional credentials, criminal history, driving history, residency, immigration status, performance, references, and other qualities pertinent to your qualifications for the following position.
Youth Clearances are required for positions with direct contact with children and essential personnel positions. Employees working with or around minor age children are required to complete the youth clearance process which includes the following four child protection clearances:
1) Affidavit;
2) FBI Criminal Record Check;
3) Pennsylvania Department of Human Services Child Abuse History Clearance and;
4) Pennsylvania State Police Criminal Record Check.
In accordance with state laws, Act 73 of 2007, Act 153 of 2014, Act 168 (relating to the Child Protective Services Law), school employees of Eastern University who will have "direct contact with children" must complete the background check process prior to employment. Results must be submitted within ten days of receipt.
Description Disclaimer
This description is intended to describe the general level and nature of work performed by the person/people assigned to this position. It is not to be construed as an exhaustive list of duties and responsibilities of the person/people so assigned.
For all positions: Applicants must be authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Statement of Non-Discrimination
Eastern University is committed to the principles of equal opportunity as defined under federal and state law, and does not discriminate unlawfully on the basis of race, gender, sexual orientation, color, creed, disability, national/ethnic origin, age, disabled veteran/Vietnam-era, Genetic Information and Nondiscrimination Act (GINA), or veteran status in its admission policy, program, or activities, educational policies, scholarship and loan programs, athletic and other University-administered programs, or employment practices and programs.
We offer a complete benefits package to full-time faculty and staff including healthcare coverage, retirement plan contributions, flexible spending and health savings accounts, life insurance, long-term and short-term disability, tuition remission and tuition exchange participation as well as an extensive holiday, summer hours and paid time off leave schedule.
Part-time Regular staff who are scheduled 30-36 hours per week over the course of a year, receive a full benefit package based on their part-time scheduled hours. Healthcare coverage is based on the ACA medical coverage guidelines. Affiliate faculty receive a benefit package as outlined with their covenant. Adjunct faculty may be eligible for medical coverage under the ACA after an annual one year lookback review.
Part-time staff who are scheduled to work less than 30 hours per week schedule are eligible for employer contribution towards the retirement plan after one year of employment. Eligibility rules apply. Adjunct faculty may make employee deferral contributions towards the retirement plan.
Part-Time Graduate Assistant Coaches are eligible for participation in the Tuition Remission Coaches Program.
Temporary, Contractors and Seasonal Employees: Individuals in this status are scheduled on an as-needed-basis and are not eligible for participation in the University's benefits programs.
Detailed information regarding our benefits program and eligibility is provided once hired or you can contact Human Resources with any questions.