Pay
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,819 postings in the last year. Stated ranges, not salaries paid.
Mount Laurel, New Jersey
Actively hiring, first seen by us todayPay Details: $96,130 - $155,950 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Applicants must be either a US citizen or a US Lawful Permanent Resident (Green Card Holder) must not require current or future TD sponsorship
5+ year of relevant experience; higher degree education and research tenure can be counted
Proficiency with Python and SQL is a must
Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data
Experience in Financial Crimes / Compliance Risk Analytics is a plus
Hands-on experience with GenAI applications is a strong plus, including but not limited to fine-tuning or prompting LLMs
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores.
In the employer’s words · Read in context
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,819 postings in the last year. Stated ranges, not salaries paid.
Day 0
Early. Similar jobs usually come down between day 7 and day 57.
From 10,780 similar postings that came down. Coming down is not always a hire.
46 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Strong foundation in regression, classification, and machine learning models and anomaly detection techniques - Proficiency with Python and SQL is a must - Experience in Financial Crimes / Compliance Risk Analytics is a plus
- Is familiar with the business context and data infrastructure and can translate business problems to viable data science solutions - Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data - Visualizes insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding
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New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Work Location:
Mount Laurel, New Jersey, United States of AmericaHours:
40Pay Details:
$96,130 - $155,950 USDTD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Line of Business:
Analytics, Insights, & Artificial IntelligenceJob Description:
Eligibility Requirements
Applicants must be either a U.S. citizen or a U.S. Lawful Permanent Resident (Green Card Holder) must not require current or future TD sponsorship. Work Visa Sponsorship This role is not eligible for TD work visa support or sponsorship, including H-1B, F-1 OPT/STEM OPT, TN, or other work visa authorizations.
Job Description:
The Data Scientist III provides technical leadership across the overall Analytics function which may have an enterprise mandate. This role generally provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material.
Department Overview:
The US Financial Crime Risk Modeling & Advanced Analytics team within US Financial Crime department is responsible for developing, maintaining, and enhancing the Enterprise Anti-Money Laundering / Counter-Terrorism Financing (AML/CTF) models/AI solutions to comply with regulatory requirements/changes and internal policies, support TD's global AML/CTF strategies, address emerging risks, and be in accordance with best industry practice. We are seeking talented data scientists to join us to innovate, drive, and support initiatives and business as usual operations in multiple functional areas including, but not limited to, customer rating, sanctions screening, transaction monitoring, emerging risk, model performance monitoring, analytics, and reporting
Depth & Scope:
Education & Experience:
Preferred Skills:
Customer Accountabilities:
Shareholder Accountabilities:
Employee/Team Accountabilities:
Physical Requirements:
Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%
The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes.
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Who We Are:
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.
Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more
Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.
Colleague Development
If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.
If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.
We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.
Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.
Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
Accommodation
TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.
If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at USWAPTDO@td.com. Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Pay Details: $96,130 - $155,950 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
Mount Laurel, New Jersey
Working pattern and location restrictions need checking in the full posting.
Eligibility Requirements Applicants must be either a U.S. citizen or a U.S. Lawful Permanent Resident (Green Card Holder) must not require current or future TD sponsorship. Work Visa Sponsorship This role is not eligible for TD work visa support or sponsorship, including H-1B, F-1 OPT/STEM OPT, TN, or other work visa authorizations. Job Description: