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Job Description
We'd Love to See:
Managers for various and unanticipated worksites throughout the US (HQ: Chicago, IL). Manage analytical service operations for mortgage and tenant screening businesses by overseeing a team of data scientist consultants. Design and develop software to mine large datasets and develop predictive scoring models. Predict risk and marketing outcomes by developing statistical models, including decision trees and scorecards. Generate insights using data query software such as SQL and Tableau. Recommend policy and account changes to customers in response to predicted changes in market and economic environments. Develop and deploy software for compiling licensed residential housing data and use compiled data to create derivative products. Provide training and mentorship to direct reports.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Technical Environment: SQL, R, SAS, Python (Scipy, pandas, numpy, Ipython), Microsoft SQL Server, Microsoft Access, Tableau, Spotfire, Knime, Alteryx, Regression Analysis, Classification, Decision Trees.
Job Requirements
- Master’s degree in Computer Science, Management Information Systems, Business Analytics, or a related field plus 2 years of experience in the job offered, as a Consultant, or in Statistical Data Modeling required.
- Required skills: SQL, R, SAS, Python (Scipy, pandas, numpy, Ipython), Microsoft SQL Server, Microsoft Access, Tableau, Spotfire, Knime, Alteryx, Regression Analysis, Classification, Decision Trees.
- Telecommuting permitted.
- (*Bachelor’s degree in Computer Science, Management Information Systems, Business Analytics, or a related field plus 5 years of progressive experience in the job offered, as a Consultant, or in Statistical Data Modeling also acceptable).


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Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.
Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company’s reputation are also essential expectations of this position.
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