About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

As an early-career AI Engineer / Data Scientist Associate you will help design, build, test, and deploy AI-enabled data solutions that turn raw data into reliable, explainable insights for our client’s customers. You’ll work on client engagements across the Assurance and Digital/Technology space and contribute to technical delivery, evaluation, and reusable tooling.

• Design and implement AI systems and machine learning models to support client decision-making
• Develop, train, validate, and deploy models using Python and common ML frameworks
• Prepare and clean datasets: feature engineering, data wrangling, and preprocessing
• Build and maintain data pipelines and relational data stores for scalable data access
• Collaborate with cross-functional teams to integrate AI components into existing infrastructure
• Design and run tests for AI-system behavior, performance, robustness, bias, explainability, and failure modes
• Evaluate technical controls and evidence; document findings, limitations, and remediation recommendations
• Develop reusable evaluation tools, automated tests, reference datasets, monitoring capabilities, and evidence workflows
• Translate technical results into clear recommendations for technical and non-technical stakeholders
• Learn continuously, take ownership of deliverables, and support client-facing engagements

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Qualifications

Minimum requirements

• Bachelor’s degree in a relevant field
• At least 1 year of professional experience in data science, machine learning, or software/data engineering
• Practical experience with Python for data analysis and model development

Preferred / differentiators

• Degree in Analytics/Data Science, AI/Robotics, Computer Science, Information Systems, or Engineering
• Experience with model evaluation, bias/drift detection, explainability techniques, and guardrails
• Familiarity with building automated tests, monitoring pipelines, and reusable evaluation tooling
• Strong teamwork and communication skills in fast-paced client environments
• Experience with relational databases and data modelling techniques

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Compensation & Benefits

• Salary range: $63,000 - $141,500 (actual pay depends on skills, experience, qualifications, and location)
• Eligible for annual discretionary bonus
• Benefits typically include medical, dental, vision, retirement (401k), paid holidays, vacation, and paid sick leave — final offerings are provided by the client
• This posting follows applicable pay-transparency rules for the listed location

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Location & Hiring Notes

• Work location: Manhattan, NY — this is a full-time role.
• Employment will be with the Confidential Client; specific employment policies (including visa sponsorship) are determined by the client.
• Background checks and other pre-employment screenings may apply consistent with applicable law.
• Where local “fair chance” laws apply, conviction records will be considered in compliance with relevant ordinances.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.