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Temporary Machine Learning R Jobs in Lincolnshire, IL

Quantitative Researcher

Chicago, IL · On-site

$250K - $300K/yr

... R, MATLAB, or C++ for conducting research * Can advocate for your beliefs in a concise and effective way with the team * Significant hands-on experience applying machine learning algorithms to real ...

SR Data Scientist, Rental

Chicago, IL · On-site

$113 - $183/hr

... develop and execute the R&U BI/Analytics roadmap, aligning it with organizational goals and ... Machine Learning: Extensive knowledge of principles, technologies and algorithms of machine ...

Design, build, and deploy advanced analytical and statistical machine learning models to ... Python / R Programming to write clean, scalable data science code and maintain custom software ...

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

Develop and implement machine learning algorithms, models, and computational systems; design and ... Python, C++, Java, R, SQL * Strong written & verbal communication skills and ability to communicate ...

New

Showing results 41-60

Temporary Machine Learning R information

See Lincolnshire, IL salary details

$26.8K

$44.8K

$92.6K

How much do temporary machine learning r jobs pay per year?

As of Sep 7, 2026, the average yearly pay for temporary machine learning r in Lincolnshire, IL is $44,833.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,200.00 and $48,400.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Machine Learning R vs Data Analyst?

AspectTemporary Machine Learning RData Analyst
Required SkillsProficiency in R, machine learning algorithms, statistical modelingData visualization, SQL, basic statistical analysis
Work EnvironmentProject-based, technical teams, research-focusedBusiness units, reporting, data cleaning
CertificationsR programming, data science certificationsNone specific, often business or analytics certifications

Temporary Machine Learning R roles focus on developing predictive models using R and machine learning techniques, often in research or technical environments. Data Analysts typically handle data cleaning, visualization, and reporting for business insights. While both roles require analytical skills, Temporary Machine Learning R positions demand specialized knowledge in machine learning and R programming, making them more technical and research-oriented.

What cities near Lincolnshire, IL are hiring for Temporary Machine Learning R jobs?

Cities near Lincolnshire, IL with the most Temporary Machine Learning R job openings:

Infographic showing various Temporary Machine Learning R job openings in Lincolnshire, IL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $44,833 per year, or $21.6 per hour.

Data Scientist - Global Services Insights & Analytics, Commercial Banking - Sr. Associate

Fairygodboss

Chicago, IL • On-site

$110 - $170/hr

Other

Medical, Retirement

Posted yesterday

New


Job description

Join our Global Services Insights & Analytics team and help turn data into decisions that improve how we operate. You'll partner with senior leaders, tackle meaningful business problems, and deliver insights that drive measurable outcomes. This is an opportunity to build scalable analytics solutions, strengthen controls, and elevate service and efficiency across Commercial Banking. If you enjoy hands-on data science and clear storytelling, we'd like to hear from you.

As a Data Scientist in Global Services Insights & Analytics, you will lead data-driven initiatives that strengthen planning, efficiency, service, and controls within Commercial Banking. You will work closely with senior stakeholders to frame the right questions, design sound analytical approaches, and translate results into practical recommendations. You will combine statistical methods and machine learning with strong business context to deliver actionable insights. You will help build repeatable solutions that scale and improve performance over time.

In this role, you'll help shape how the team measures success and prioritizes improvement opportunities. You'll balance exploratory analysis with production-ready delivery, and you'll be expected to communicate clearly to technical and non-technical audiences. You'll also collaborate across business and functional partners to align on outcomes, timelines, and data requirements.

JOB responsibilities
  • Lead analytics and insight-generation initiatives using hands-on data science techniques
  • Develop experimental frameworks to support data collection and measurement
  • Define analytics approaches using business knowledge, statistical methods, and machine learning techniques
  • Build models and data applications that produce actionable insights
  • Create clear visualizations and messaging that simplify complex results
  • Collaborate with business and functional stakeholders on analytics initiatives
  • Translate business needs into well-scoped data solutions and analytical deliverables
  • Present insights and recommend next steps to senior stakeholders
Required qualifications, capabilities, and skills
  • Three years of data science experience (financial services or commercial banking experience preferred)
  • Proficiency in Python, R, and SQL
  • Experience applying statistical methodologies to business problems (for example, experimentation, inference, forecasting, or classification)
  • Experience building machine learning models and translating outputs into actionable recommendations
  • Experience designing repeatable and scalable data solutions
  • Experience using analytics tools such as Alteryx or Trifacta
  • Experience working with distributed data environments such as Hadoop
  • Experience with data visualization tools such as Qlik Sense, Tableau, or D3
  • Experience with cloud-based analytics platforms, including Databricks
  • Strong written and verbal communication skills, including presenting insights to senior stakeholders
Preferred qualifications, capabilities, and skills
  • Deep understanding of large language model techniques, including agents, planning, and reasoning
  • Experience building and deploying machine learning models on AWS using tools such as SageMaker and Amazon Elastic Kubernetes Service (EKS)
  • Advanced knowledge of reinforcement learning or meta learning
ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE TEAM

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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