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Entry Level Data Scientist Machine Learning Jobs in Chicago, IL

Sr. Data Scientist

Chicago, IL · On-site

$114K - $194K/yr

... machine learning ensemble methods that exhibit the best out-of-sample characteristics possible ... Plan and execute data science training sessions and hackathonsWork with external parties (vendors ...

Machine Learning Engineer II

Chicago, IL · On-site

$108K - $136K/yr

You will work closely with cross-functional teams to build intelligent systems that solve real-world problems using machine learning, deep learning, and data science techniques. This is a hybrid ...

Sr. Data Scientist

Chicago, IL · On-site

$114K - $194K/yr

... machine learning ensemble methods that exhibit the best out-of-sample characteristics possible ... Data Science specific graduate work, Finance sector experience or coursework preferred • Acts as ...

Sr. Data Scientist

Chicago, IL · On-site

$114K - $194K/yr

... machine learning ensemble methods that exhibit the best out-of-sample characteristics possible ... Data Science specific graduate work, Finance sector experience or coursework preferred • Acts as ...

Data Scientist I

Chicago, IL · On-site

$95K - $113K/yr

Data Scientist I Location : Chicago, IL Office : 3 days/week in South Loop office Reports to ... Learn and apply best practices and emerging tools in machine learning, AI, and causal inference.

Master's degree in Data Science, Computer Science or related field and two (2) years of experience ... Machine Learning Modeling: Supervised Learning, Unsupervised Learning, Feature Engineering, or ...

Showing results 21-40

Entry Level Data Scientist Machine Learning information

See Chicago, IL salary details

$38.6K

$126.4K

$202.4K

How much do entry level data scientist machine learning jobs pay per year?

As of Aug 6, 2026, the average yearly pay for entry level data scientist machine learning in Chicago, IL is $126,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level data scientist machine learning?

To thrive as an Entry Level Data Scientist in Machine Learning, you need a solid background in statistics, programming (Python or R), and foundational machine learning concepts, typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and SQL, as well as experience with data visualization platforms, is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly set candidates apart. These skills are essential for effectively analyzing data, building predictive models, and translating complex results into actionable business insights.

What is an entry level data scientist machine learning?

Entry level data scientist machine learning jobs are positions for individuals who are new to the field of data science and machine learning. These roles typically focus on working with data, building and testing machine learning models, and supporting more experienced data scientists. Entry level professionals may clean and analyze data, implement basic algorithms, and help interpret results to inform business decisions. These jobs often require proficiency in programming languages like Python or R, foundational knowledge of statistics, and some experience with machine learning libraries.

What are some common challenges faced by entry level data scientists working with machine learning models?

Entry-level data scientists often encounter challenges such as cleaning and preparing messy or incomplete datasets, selecting appropriate algorithms for specific problems, and tuning model parameters to achieve optimal performance. In addition, they may need to clearly communicate technical findings to non-technical stakeholders and collaborate closely with team members from engineering, product, and business departments. Gaining experience in version control, reproducibility, and model deployment are also important steps in mastering the end-to-end machine learning workflow.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Chicago, IL? The most popular types of Data Scientist Machine Learning jobs in Chicago, IL are:
What are popular job titles related to Entry Level Data Scientist Machine Learning jobs in Chicago, IL? For Entry Level Data Scientist Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist Machine Learning jobs in Chicago, IL look for? The top searched job categories for Entry Level Data Scientist Machine Learning jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Entry Level Data Scientist Machine Learning jobs? Cities near Chicago, IL with the most Entry Level Data Scientist Machine Learning job openings:
Infographic showing various Entry Level Data Scientist Machine Learning job openings in Chicago, IL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $126,438 per year, or $60.8 per hour.

Sr. Data Scientist

Northern Trust

Chicago, IL • On-site

$114K - $194K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Northern Trust rating

8.2

Company rating: 8.2 out of 10

Based on 27 frontline employees who took The Breakroom Quiz


Job description

About Northern Trust:

Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889.

Northern Trust is proud to provide innovative financial services and guidance to the world's most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service.

Major Duties :Develop software, typically in Python, to independently acquire data from disparate sources (databases, files, APIs, etc.) and combine them into appropriate training , validation and testing datasetsAnalyze raw datasets using descriptive statistics, working directly with domain experts to understand the meaning of data fieldsBuild unit tests, data quality checks and data pipelines to ensure that algorithms use trusted dataDevelop and maintain an understanding of many algorithms across supervised learning, unsupervised learning and time series analysis Propose and develop machine learning ensemble methods that exhibit the best out-of-sample characteristics possible given the input datasetUtilize expertise in machine learning algorithms to tune algorithms using available hyper-parameters and carefully select feature subsetsDiscover biases or leakage in datasets and ensure that train/test splits reflect realistic expectations of real world performanceRun large scale (either in parallel and/or distributed) training and inference jobs on private or public cloud infrastructureMay present findings to internal and external customers using both data science language (F1 scores, regression error, statistical significance, etc.) as well as business domain specific language gained from experience analyzing the data in scope.Provide some guidance to other software development teams as Data Science Lab prototypes are engineered for full production environmentsWork across multiple projects in a fluid environment where work is required across the full research lifecycle from forming a hypothesis, acquiring data, and developing ETL-style software to presenting findings.Plan and execute data science training sessions and hackathonsWork with external parties (vendors, universities, etc.) to incorporate new techniques and tools into the data science labSolves complex problemsTakes a new perspective on existing solutionsExercises judgment based on the analysis of multiple sources of informationImpacts a range of customer, operational, project or service activities within own team and other related teamsWorks within broad guidelines and policiesKnowledge :Python, Common Python libraries (numpy ,pandas, sklearn, etc.), Linux based operating systems, and basic development tools (Python IDEs, source control, etc.) requiredAdvanced distributed machine learning frameworks (e.g. Keras, TF, etc.), Azure cloud infrastructure preferredRequires in-depth conceptual and practical knowledge in own job discipline and basic knowledge of related job disciplinesApplies best practices and how own area integrates with othersExplains difficult or sensitive information; works to build consensusExperience :Computer Science degree (undergraduate or graduate level) and strong statistical background. Data Science specific graduate work, Finance sector experience or coursework preferredActs as a resource for colleagues with less experience;May lead small projects with manageable risks and resource requirements

Salary Range:

$114,500 - 194,700 USD

Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life & accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component.

Working with Us:

As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas.

Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve!Join a workplace with a greater purpose.

We'd love to learn more about how your interests and experience could be a fit with one of the world's most admired and sustainable companies! Build your career with us andapply today.#MadeForGreater

Reasonable accommodation

Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com.


We hope you're excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people.

Apply today and talk to us about your flexible working requirements and together we can achieve greater.


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