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Remote Predictive Modeling Jobs in Chicago, IL (NOW HIRING)

Senior Data Scientist

Chicago, IL · On-site +1

$122K - $228K/yr

Data Analytics & Reporting This is ideally a hybrid role but open to remote Role Overview We are ... to build predictive models and intelligent automation systems that deliver measurable business ...

Senior Incident Management Practice Engineer

Chicago, IL · On-site +1

$118K - $161K/yr

This role is accountable for defining governance models, and operational frameworks aligned to ITIL ... This includes implementing intelligent alert correlation, predictive incident detection, automated ...

Senior Incident Management Practice Engineer

Chicago, IL · On-site +1

$118K - $161K/yr

This role is accountable for defining governance models, and operational frameworks aligned to ITIL ... This includes implementing intelligent alert correlation, predictive incident detection, automated ...

Senior Incident Management Practice Engineer

Chicago, IL · On-site +1

$118K - $161K/yr

This role is accountable for defining governance models, and operational frameworks aligned to ITIL ... This includes implementing intelligent alert correlation, predictive incident detection, automated ...

Fidelity Life pioneered the use of predictive analytics to streamline the new business process and ... Qualifications: * Previous experience in remote phone customer service preferred. * Previous ...

Remote Job Type: Full-time About Snapsheet: Snapsheet is claims technology the way it should be ... Build models to identify "whitespace" within existing accounts, helping AEs prioritize which ...

Fidelity Life pioneered the use of predictive analytics to streamline the new business process and ... Qualifications: * Previous experience in remote phone customer service preferred. * Previous ...

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Showing results 1-20

Remote Predictive Modeling information

See Chicago, IL salary details

$24

$61

$78

How much do remote predictive modeling jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for remote predictive modeling in Chicago, IL is $61.44, according to ZipRecruiter salary data. Most workers in this role earn between $56.20 and $71.30 per hour, depending on experience, location, and employer.

What jobs will no longer exist in 2030?

Predictive modeling jobs are expected to evolve significantly by 2030, with some routine data analysis roles potentially automated through advanced AI and machine learning tools. However, roles requiring complex judgment, creativity, and domain expertise will continue to be essential, though the skills needed may shift toward managing and interpreting AI systems. Overall, jobs that rely heavily on manual, repetitive tasks are most at risk of disappearing or transforming.

Is 40 too late for data science?

Age is not a barrier to entering remote predictive modeling or data science roles. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Employers value experience and skills over age, making it possible to start or switch to data science at 40 or older.

Is predictive modeling difficult?

Predictive modeling as a job involves analyzing data, selecting appropriate algorithms, and validating models, which can be complex and requires strong analytical and programming skills. Success often depends on understanding statistical concepts, data preprocessing, and tools like Python or R, making it a challenging but manageable field for those with relevant training. Continuous learning and experience are key to mastering the skills needed for this role.

Can AI do predictive modeling?

AI is commonly used in predictive modeling to analyze data and forecast future outcomes. Predictive modeling involves techniques like machine learning algorithms, which are often implemented by data scientists and analysts using tools such as Python or R. These models are essential in various industries for decision-making and strategic planning.

What is the difference between Remote Predictive Modeling vs Remote Data Analysis?

AspectRemote Predictive ModelingRemote Data Analysis
Required SkillsStatistical modeling, machine learning, programming (Python, R)Data cleaning, descriptive statistics, visualization
Work EnvironmentCollaborative teams, project-based tasks, often in tech or financeData reporting, dashboard creation, business insights
Common CertificationsCertified Data Scientist, Machine Learning certificationsData Analysis certifications, Tableau or Power BI certifications

Remote Predictive Modeling focuses on building models to forecast future outcomes using advanced algorithms, while Remote Data Analysis involves examining existing data to generate insights and reports. Both roles require strong analytical skills, but predictive modeling emphasizes machine learning and statistical techniques, whereas data analysis centers on data interpretation and visualization.

What are the most commonly searched types of Predictive Modeling jobs in Chicago, IL? The most popular types of Predictive Modeling jobs in Chicago, IL are:
What are popular job titles related to Remote Predictive Modeling jobs in Chicago, IL? For Remote Predictive Modeling jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Predictive Modeling jobs in Chicago, IL look for? The top searched job categories for Remote Predictive Modeling jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Predictive Modeling jobs? Cities near Chicago, IL with the most Remote Predictive Modeling job openings:

Senior Data Scientist

BMO Capital Markets

Chicago, IL • On-site, Remote

$122K - $228K/yr

Full-time

Medical, Life, Retirement

Posted 6 days ago


Job description

Application Deadline:

07/17/2026

Address:

180 Montgomery St.

Job Family Group:

Data Analytics & Reporting

This is ideally a hybrid role but open to remote

Role Overview


We are looking for a Senior Data Scientist with a strong cando mindset, proven ability to ship productiongrade models, and passion for solving ambiguous business challenges. This role blends deep technical expertise with business acumen, product thinking, and strong storytelling skills. You will drive endtoend delivery of Data & AI solutions-from problem framing and data acquisition to model development, deployment, and ongoing optimization-while influencing stakeholders across the organization.

Key Responsibilities

Model Development & Delivery

  • Apply advanced analytics, machine learning, deep learning, and AI methodologies to build predictive models and intelligent automation systems that deliver measurable business impact.
  • Own the full model lifecycle: data exploration, modeling, validation, deployment, monitoring, and continual improvement.
  • Diagnose and resolve model performance issues; implement scalable, reliable processes for ongoing model operations.
  • Use strong programming skills to prepare complex datasets (structured, semistructured, unstructured) and build reproducible pipelines.

Business Impact & Storytelling

  • Translate complex analytical findings into clear, actionable insights that influence decisionmaking at all levels.
  • Present recommendations in a compelling narrative that resonates with both technical and nontechnical stakeholders.
  • Lead discovery sessions to clarify business needs, define success metrics, and design analytical approaches that support business strategy.

Innovation & Best Practices

  • Drive innovation in Data & AI through new techniques, experimentation frameworks, and reusable analytical assets.
  • Establish and promote best practices in model development, MLOps, governance, and data quality.
  • Stay current on emerging trends, regulations, and technologies; provide guidance on how to leverage them within the organization.

Leadership & Collaboration

  • Serve as a subject matter expert for stakeholders across the enterprise.
  • Partner with crossfunctional teams-including Engineering, Product, and Business-to deliver solutions that scale.
  • Lead or contribute to strategic initiatives, roadmaps, and business cases that support the organization's data and AI vision.
  • Mentor and guide other data scientists; contribute to internal training, tools, and knowledgesharing.

Execution & Change Leadership

  • Manage complex, ambiguous problems by structuring analytical approaches and selecting appropriate modeling techniques.
  • Lead change management and communication efforts associated with analytics initiatives.
  • Implement processes and controls that ensure highquality, consistent delivery of analytical work.

Qualifications

  • 7+ years of relevant experience in data science, machine learning, or applied analytics.
  • Advanced degree (PhD preferred) in Computer Science, Engineering, Statistics, Mathematics, Physics, or related quantitative field-or equivalent experience.
  • Proven track record of shipping models to production and maintaining them at scale.
  • Expertise in machine learning and deep learning algorithms and frameworks.
  • Proficiency in Python and SQL; experience with R, SAS, or other analytical tools is a plus.
  • Experience with distributed computing technologies (Hive, Hadoop, Spark) and cloud ML platforms (AWS SageMaker, Azure ML, etc.).
  • Strong communication, storytelling, and influence skills; able to drive alignment across diverse groups.
  • Demonstrated ability to operate in ambiguity, make data-driven decisions, and solve complex, open-ended problems.
  • Experienced collaborator with deep cross-functional partnership skills and ownership mindset.

Salary:

$122,400.00 - $228,000.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.