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Remote Machine Learning Finance Jobs in Phoenix, AZ

LaFever Consulting

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Artificial Intelligence Intern

Tempe, AZ · Remote

$1.0K - $1.2K/yr

Remote | Part-Time (10-15 hours) / Internship About the Project Job Seeker's Tool Kit is an ... Basic understanding of AI concepts, data analysis, or machine learning tools (coursework, projects ...

New

LaFever Consulting

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Artificial Intelligence Intern

Tempe, AZ · Remote

$1.0K - $1.2K/yr

Remote | Part-Time (10-15 hours) / Internship About the Project Job Seeker's Tool Kit is an ... Basic understanding of AI concepts, data analysis, or machine learning tools (coursework, projects ...

New

LaFever Consulting

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Artificial Intelligence Intern

Tempe, AZ · Remote

$1.0K - $1.2K/yr

Remote | Part-Time (10-15 hours) / Internship About the Project Job Seeker's Tool Kit is an ... Basic understanding of AI concepts, data analysis, or machine learning tools (coursework, projects ...

New

Enova International

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Customer Service Representative (Remote)

Phoenix, AZ · Remote

$17/hr

This role is entirely remote; however, candidates must reside in the state of Illinois, Indiana ... that provides online financial services through our AI and machine learning-powered ...

Phoenix Staff

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a Lead ... machine learning models that improve cost, quality, and patient outcomes. Your role · Design ...

Provn

Full Stack AI Engineer, Security

Scottsdale, AZ · Remote

$130K - $170K/yr

This role reports to the Security Ops Lead and is Remote-US (open to most states, with a few exceptions listed on the role page). You fit if you have shipped machine learning to production and you ...

Dutchbros

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

... machine learning, and AI-driven workflows and will be responsible for designing and implementing ... Location Requirement: This position is eligible for remote work within any state Dutch Bros ...

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Remote Machine Learning Finance information

See Phoenix, AZ salary details

$24.8K

$92K

$134.5K

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

As of Jul 30, 2026, the average yearly pay for remote machine learning finance in Phoenix, AZ is $91,975.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $108,200.00 per year, depending on experience, location, and employer.

How do remote machine learning professionals in finance 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, and why are they important?

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 is a Remote Machine Learning Finance job?

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.
What are popular job titles related to Remote Machine Learning Finance jobs in Phoenix, AZ? For Remote Machine Learning Finance jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Finance jobs in Phoenix, AZ look for? The top searched job categories for Remote Machine Learning Finance jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Remote Machine Learning Finance jobs? Cities near Phoenix, AZ with the most Remote Machine Learning Finance job openings:
Remote Machine Learning Finance jobs near you

Teradata ML Data Scientist with Clear Scape Analytics

Hirekeyz Inc

Scottsdale, AZ • Remote

Contractor

Re-posted 16 days ago

Job description

Role: Teradata ML Data Scientist with Clear Scape Analytics

Location: Scottsdale, AZ (REMOTE)

Job Type: Contract

Job Description:

Role Overview:

The Financial Forecasting Analytics Resource will utilize Teradata Clearscape capabilities to develop machine learning models that provide accurate forecasts to support key financial decisions. You will partner closely with business stakeholders to understand requirements and translate them into analytical solutions. An initial focus will be developing a machine learning model to forecast annual product renewal units at the individual product level.

The Senior Application Developer will:

Use the latest tools and techniques (.NET, C#, Agile Methodologies, Web Services, TSQL, SSIS)

Prepare software for deployment to production environments

Respond to and resolve questions and issues logged by users of a live system

Manage small projects independently and work as a team member on larger projects

Perform other related duties as required and assigned

Demonstrate behaviors which are aligned with the organization’s desired culture and values


Primary Responsibilities:

  • Collaborate with finance leaders and business partners to understand forecasting challenges and requirements
  • Leverage Teradata Clearscape platform to develop, test, and deploy machine learning models that provide accurate financial forecasts
  • Start by building a forecasting model for annual product renewal units at the product level, demonstrating flexibility and adaptability of the platform
  • Evaluate multiple modeling techniques including time series, regression, and neural networks to deliver the most accurate forecasts
  • Monitor and enhance models over time to adapt to changing business conditions and improve predictive accuracy
  • Package analytical solutions into easy-to-use tools and applications tailored to business user needs
  • Clearly communicate analytical methodology, results, and insights to key stakeholders
  • Conduct knowledge transfer sessions to educate internal engineering teams on model development and usage
  • Thoroughly document modeling approach, code, and results to support knowledge transfer


Required Skills/Experience:

  • 5+ years’ experience in advanced analytics and machine learning, specifically Teradata Clearscape
  • Proficiency in Python, R, or other analytical programming languages
  • Experience building, validating, and deploying machine learning models
  • Knowledge of time series analysis and forecasting techniques
  • Financial industry experience a plus
  • Excellent communication and collaboration skills