principal associate, data scientist - anti-money laundering modeling and advanced data insights

ai, data & tech - technology strategy manager

financial analyst

principal associate, data scientist - anti-money laundering modeling and advanced data insights Jobs in Chicago

agentic ai data scientist Jobs in Chicago

agentic ai data scientist

ai analyst

ai, data & tech - technology strategy manager Jobs in Chicago

data scientist

<div></div><div><div><div><div><ul><div>1 Opening</div>
 <div>Chicago</div></ul></div><div> 
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader">Role description</h3>
<div>Data Scientist (Python Developer)

Associate I - Data Science 


Who We Are:

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.

UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.

With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.

Visit us at UST.com. 


You Are:

The Data Scientist (Entry Level) will work as a team member on managed outcome- and capacity-based data analytics and data science initiatives, including projects, Proof of Concepts (POCs), and Minimum Viable Products (MVPs). 


The opportunity:
<ul><li> Data Science &amp; Analytics
</li></ul><ul><li> Delivery Participate as a team member in data analytics and data science projects, including managed outcome and capacity-based engagements.
</li></ul><ul><li> Support the development and execution of POCs and MVPs to validate analytical approaches, models, and hypotheses. Assist in translating business and scientific problems into data-driven analytical solutions under supervision. Perform data exploration, data preparation, and feature engineering to support analytics and modeling activities.</li></ul>
<ul><li> Development &amp; Implementation
</li></ul><ul><li> Develop and maintain analytical scripts, models, and workflows using Python and relevant data science libraries. Implement statistical, machine learning, or analytical techniques as guided by senior data scientists or architects.
</li></ul><ul><li> Support model testing, validation, and refinement to ensure accuracy and reliability of outputs. Contribute to code reviews, documentation, and version-controlled development practices.</li></ul>
<ul><li> Collaboration &amp; Stakeholder
</li></ul><ul><li> Support Work closely with senior data scientists, data engineers, and cross functional delivery teams. Participate in team discussions, sprint ceremonies, and knowledge sharing sessions. Support communication of analytical findings through clear documentation, visualizations, and presentations as needed.</li></ul>
<ul><li> Learning &amp; Continuous Improvement</li></ul>
<ul><li> Learn and apply industry best practices in data science, analytics, and responsible data usage. Stay current with emerging tools, frameworks, and techniques relevant to data science and analytics. Actively seek feedback and mentorship to improve technical and professional capabilities.</li></ul> 


This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required. 
What you need:
<ul><li> Strong foundational knowledge of Python for data analysis and development
</li></ul><ul><li> Familiarity with Python libraries such as Pandas, NumPy, Matplotlib/ Seaborn, Scikit-learn Understanding of basic statistics, probability, and data analysis concepts
</li></ul><ul><li> Exposure to data wrangling, exploratory data analysis (EDA), and data visualization
</li></ul><ul><li> Basic understanding of machine learning concepts (supervised and unsupervised learning)</li></ul>
<ul><li> Technical Skills (Good to Have)</li></ul>
<ul><li> Exposure to Jupyter Notebooks or similar analytical environments
</li></ul><ul><li> Familiarity with SQL or basic database querying concepts
</li></ul><ul><li> Awareness of cloud-based analytics or data platforms (AWS, Azure, GCP - conceptual level)
</li></ul><ul><li> Exposure to version control systems such as Git
</li></ul><ul><li> Basic knowledge of data pipelines or data engineering concepts</li></ul>
<ul><li> Educational Qualifications:</li></ul>
<ul><li> Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field Relevant academic projects, internships, or certifications in data science or analytics are a plus</li></ul>
<ul><li> Experience:</li></ul>
<ul><li> 0-2 years of experience in data science, analytics, or related roles
</li></ul><ul><li> Entry-level candidates, recent graduates, or early-career professionals are encouraged to apply</li></ul> 


Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.

Role Location: Illinois

Compensation Range: $56,000-$84,000 


Benefits

Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.

Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching.

Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.

Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).

All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws. 


What we believe:

We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions. 


Humility:

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity:

Through business, we will better the lives of those less fortunate than ourselves.

Integrity:

We honor our commitments and act with responsibility in all our relationships. 
<div></div>
<div>
Equal Employment Opportunity Statement</div><div> 
UST is an Equal Opportunity Employer.</div> 
<div></div>

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.
<div>
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.</div> 
<div></div>
<div>
#UST</div>
<div>
#CB</div>
<div>
#LI-VK5</div></div>
<h3 class="jobSectionHeader">Skills</h3>
<div>data science,python,numpy,scikit-learn,data wrangling,exploratory data analysis,data visualization,</div>
<h3 class="jobSectionHeader">Benefits</h3>
<h3 class="jobSectionHeader">Compensation range: $ 56,000.00 to 84,000.00 per year</h3></div></div></div>
 <div><h3 class="jobSectionHeader">About UST</h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Data Scientist (Python Developer)

The Hartford

<div>Data Scientist - GD08AE
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future. 
Step into the future with The Hartford as an AI Scientist, where Generative AI isn&rsquo;t just a buzzword&mdash;it&rsquo;s central to our strategy. Join a team that&rsquo;s advancing AI‑driven solutions across underwriting and sales enablement, transforming how complex commercial risks are evaluated and decisions are made. As part of our Applied AI Middle &amp; Large Business team, you&rsquo;ll work on high‑impact use cases and help shape the development of GenAI capabilities embedded directly into core business workflows. Here, your work delivers real, measurable impact&mdash;driving innovation, efficiency, and smarter decision‑making with cutting‑edge AI tools. If you&rsquo;re looking for a role where your expertise is essential to the future of commercial insurance, The Hartford is the place for you. 
 
We are looking for a technically proficient GenAI data scientist with deep implementation experience in building and evaluating GenAI systems, and a proven ability to stay at the forefront tools and techniques in the evolving AI landscape. 
 
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). 
 
Responsibilities: 
 
Support The Hartford&rsquo;s AI innovation strategy to identify and implement high-end use cases, ensuring alignment with business objectives and emerging industry trends.
 
Support cutting-edge AI vision and roadmap for the enterprise to make The Hartford a leader in using AI for the insurance industry. 
Partner with stakeholders internal to the Data Science organization, Technology organization and business organization, aligning with business objectives and driving innovation to improve productivity and efficiency of underwriting and sales efforts. 
Design and build GenAI solutions for tasks such as summarization, question answering, search, data synthesis, etc.
Design, build, and support traditional machine learning solutions, while developing and maintaining robust Python infrastructure using strong coding fundamentals such as object‑oriented programming, modular design, and testing. 
Apply AI techniques to complex and heterogeneous risk exposures within Middle &amp; Large Commercial portfolios. 
Rapidly prototype with cutting-edge tools, such as VertexAI/Google agent development kit, LangChain/LangGraph, RAG frameworks, HuggingFace, OpenAI APIs, etc. 
Research and recommend novel foundation model options, tools, and libraries to improve solutions in performance and reliability. 
Develop evaluation pipelines for generative outputs using a mix of automatic metrics, human feedback, and llm-as-a-judge methods. 
Collaborate with ML Ops to ensure best practice is followed for scalable training and deployment. 
 
 
 
Qualifications: 
 
Master&rsquo;s or PhD in Computer Science, Artificial Intelligence, Machine Learning, Engineering or a related field. 
3+ years of industry experience in machine learning or data science and with 1+ years focused on GenAI. 
Proven experience in GenAI tools such as Vertex AI/Google agent development kit, LangChain/LangGraph, RAG frameworks, HuggingFace, OpenAI APIs, etc. 
Solid understanding of prompt engineering, retrieval-augmented generation (RAG), agent workflow, and LLM evaluation. 
Proficiency in Python and ML frameworks such as Scikit-Learn, PyTorch, TensorFlow, etc. 
Experience developing and deploying agentic AI workflows and systems 
Experience with vector databases such as Chroma, Pinecone, etc. and cloud platforms such as GCP, AWS, Azure, etc. 
Strong analytical, problem solving and debugging skills.
 
Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders across the enterprise.
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$90,160 - $135,240
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</div>

Agentic AI Data Scientist

PayPal

<div>The Company
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.
Job Summary:
Partner with fraud fighting teams to optimize existing detection models and unlock deeper insights from fraud data to enhance decision-making capabilities. Analyze model performance, identify improvement opportunities, and translate complex data patterns into actionable intelligence that helps fraud investigators better understand emerging threats and customer behaviors. Focus on maximizing the effectiveness of current fraud detection infrastructure while providing analytical support that empowers fraud teams to make more informed, data-driven decisions.
Job Description:
Essential Responsibilities:
<ul><li>Lead and manage data science projects, ensuring timely delivery and alignment with business goals.</li><li>
Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.</li><li>
Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.</li><li>
Collaborate with cross-functional teams to understand data needs and provide actionable insights.</li><li>
Ensure data quality and integrity through regular audits and validation processes.</li><li>
Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.</li></ul>
Expected Qualifications:<ul><li>
5+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.</li></ul><div><div><div><div><div><div><div><div><div><div><div>
Additional Responsibilities &amp; Preferred Qualifications:</div></div></div></div></div></div></div></div></div></div></div>
Preferred Qualifications:<ul><li>
Experience in financial services, payments, or fraud prevention environments with understanding of fraud attack vectors, regulatory requirements, and industry best practices</li><li>
Proven track record of working collaboratively with cross-functional business teams to translate complex analytical findings into actionable insights and strategic recommendations</li></ul>
Subsidiary:
PayPal
Travel Percent:
0<ul><li></li></ul>
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:
Primary Location | Pay Range:
Chicago, Illinois | ($160,500.00 - $238,700.00 Annually)
Additional Location(s) | Pay Range:
No other locations are assigned to this requisition currently.
Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Our Benefits:
At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing&mdash;physical, emotional, and financial&mdash;delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.
Who We Are: 
Commitment to Diversity and Inclusion
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
Belonging at PayPal:
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
Any general requests for consideration of your skills, please Join our Talent Community.
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.</div>

Staff Data Scientist

BMO Financial Group

320 S Canal Street Chicago Illinois,60606
 
<div><div><div>Job Description</div></div><div><div><div><div>
Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.<ul><li>
Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.</li><li>
Collaborates with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.</li><li>
Collaborates with data scientists and other stakeholders to understand data and modeling needs and develop solutions that meet those needs.</li><li>
Designs, builds, and maintains large-scale data pipelines for reporting, analysis and machine leaning/deep leaning models.</li><li>
Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.</li><li>
Develops machine learning/deep learning models. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.</li><li>
Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.</li><li>
Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.</li><li>
Ensures alignment between values and behaviours that fosters diversity and inclusion.</li><li>
Regularly connects work to BMO&rsquo;s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.</li></ul> 
Qualifications:
Advanced level of proficiency:<ul><li>
Advanced degree (PhD preferred) in Data Science, Statistics, Applied Mathematics, Economics, or related quantitative field.</li><li>
5+ years of data science experience.</li><li>
In-depth knowledge in machine learning and deep learning models, such as but not limited to, XGboosting, LSTM and LLM etc.</li><li>
Data visualization and polished communication skills.</li><li>
Self-driven problem solver; able to adapt and thrive in a dynamic, ambiguous, and customer-focused environment.</li><li>
Highly analytical, technically proficient, and able to learn new tools and ML models quickly.</li><li>
Trust, bias and ethics.</li><li>
Collaboration &amp; team skills; with a focus on cross-group collaboration.</li><li>
Able to manage ambiguity.</li><li>
Data driven decision making.</li><li>
Experience with GenAI LLM models</li><li>
Experience with MLOps, building workflows for model retraining, monitoring and deploying</li><li>
Experience with ML frameworks such as TensorFlow, PyTorch</li><li>
Experience with cloud-based data platforms such as AWS or Azure</li><li>
Experience with data visualization tools such as Power BI</li></ul></div></div></div></div>
Salary:
$122,400.00 - $228,000.00
Pay Type:
Salaried
The above represents BMO Financial Group&rsquo;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&rsquo;s expected target for the first year in this position.
BMO Financial Group&rsquo;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 &ndash; for yourself and our customers. We&rsquo;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&rsquo;ll help you gain valuable experience, and broaden your skillset.
To find out more visit us at https://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.</div>

Principal Data Scientist

William Blair & Company

<div></div><div><div><div>Solutions for Today's Challenges. Vision for Tomorrow's Opportunities.</div>
<div>
Join William Blair, the Premier Global Partnership.</div></div><div></div> 
We are hiring a Senior AI Engineer to join a newly formed AI Innovation Function, part of the Investment Banking AI &amp; Technology team. This is not a back-office engineering role. This role follows the Forward Deployed Engineer philosophy: you will not build in isolation. You will be embedded with deal teams and industry/sector groups, understanding their day-to-day workflows and delivering tools that create immediate, measurable impact on how they originate, execute, and close deals.

You will work across the full stack&mdash;data pipelines, ML models, LLM-powered applications, and Salesforce integrations&mdash;with a bias for shipping fast, learning from real user feedback, and iterating relentlessly.

RESPONSIBILITIES
<ul>
<li>Build AI-powered features and agents using Enterprise Claude and proprietary ML models, integrated directly into the Salesforce workflows bankers use every day.</li>
<li>Develop LLM applications for banking use cases including automated comparable analysis, buyer recommendation, meeting intelligence summarization, and deal status briefings.</li>
<li>Design and maintain data pipelines using Databricks and Dagster for feature engineering, model training, and real-time analytics.</li>
<li>Work directly with deal teams and industry groups to identify high-impact automation opportunities and translate banker pain points into working solutions.</li>
<li>Perform rapid prototyping and exploratory analysis&mdash;build proof-of-concept tools quickly to validate ideas before investing in production-grade implementations.</li>
<li>Integrate third-party AI tools (Rogo.ai, Blueflame AI, Fellow.ai) via APIs and ensure seamless data flows across the composable architecture.</li>
<li>Write well-tested, production-quality code with rigorous engineering practices: code reviews, CI/CD, monitoring, and documentation.</li>
<li>Contribute to the team's engineering standards and share knowledge as the team scales.</li>
</ul>
QUALIFICATIONS
<ul>
<li>3+ years of software engineering experience with full-stack capability and a track record of shipping production applications.</li>
<li>Experience building applications or agents using large language models: prompt engineering, RAG architectures, LLM orchestration, or tool-use patterns.</li>
<li>Experience building interconnected multi-agent ecosystems &mdash; implementing agent coordination, shared tooling, and communication patterns across autonomous components.</li>
<li>Solid ML fundamentals: ability to perform data analysis, build and evaluate models, and work with feature pipelines.</li>
<li>Rigorous engineering habits&mdash;you believe in tested code, clean architecture, and building for maintainability from the start.</li>
<li>Familiarity with capital markets; experience in or adjacent to investment banking, private equity, venture capital, or hedge funds is strongly preferred.</li>
<li>Experience with cloud platforms (Azure preferred), data tools (Databricks, Spark), and pipeline orchestration (Dagster, Airflow, or similar).</li>
<li>Outcome-focused mindset&mdash;you care about whether bankers actually use what you build and whether it moves the needle on their productivity.</li>
</ul>
PREFERRED QUALIFICATIONS
<ul>
<li>Experience in a Forward Deployed Engineer, solutions engineer, or embedded technical role with direct business stakeholder accountability.</li>
<li>Experience deploying multi-agent ecosystems into production environments &mdash; including operational monitoring, failure handling, and end-to-end lifecycle management.</li>
<li>Exposure to financial services workflows: deal execution, pitch preparation, due diligence, or financial modeling.</li>
<li>Experience working with Salesforce APIs or CRM platforms as integration surfaces.</li>
<li>A builder's mentality: you have side projects, open-source contributions, or a portfolio that demonstrates curiosity and initiative beyond your day job.</li>
</ul>
#LI-CH

#LI-Hybrid<div><div><h2 class="jobSectionHeader"> 
</h2>
<h2 class="jobSectionHeader">About Our Firm</h2> 


William Blair strives to attract qualified candidates who specialize in investment banking, investment management, private wealth management, and other strategic resource groups. We are committed to empowering our colleagues to deliver client success and engage in our communities. Our firm has delivered trusted advice for nine decades, continuing to deepen our expertise and relationships across asset classes and markets throughout North America, Europe, and Asia. We provide advisory services, strategies, and solutions to meet clients' evolving needs amid dynamic market conditions and varying industries. What sets us apart is that we are an independent partnership, with colleagues who have unique experiences, perspectives, and backgrounds. We empower our people to bring their best thinking so we can deliver the tailored, thoughtful work and problem-solving abilities that our clients expect. We invite you to learn more about us by visiting williamblair.com.

William Blair is an equal opportunity employer. It complies with all laws and regulations that prohibit discrimination in employment practice because of race, color, religion, creed, ancestry, marital status, gender, age, national origin, sexual orientation, unfavorable discharge from the military service or on the basis of a physical or mental disability that is unrelated to the employee's ability to perform the duties of the job applied for. EOE m/f/d/v

Be aware of hiring scams: William Blair has clear processes and guidelines with regards to recruiting. We do not request personal financial information in connection with an employment application nor does William Blair extend any employment offers without first conducting an interview through one of its registered offices. William Blair does not use instant messaging services such as WhatsApp, Telegram, or iMessage as part of the recruiting or interviewing process.

Note to External Recruiters / Search Firms: William Blair does not accept unsolicited resumes and will not pay for any placement resulting from the receipt of an unsolicited resume. Any unsolicited resumes received will not be considered as a valid submission.

Download William Blair's privacy policies for job applicants:
<ul>
<li>California Consumer Privacy Act Privacy Notice (CCPA)</li>
<li>General Data Protection Regulation Privacy Notice (GDPR)</li>
</ul>
Contact us should you have any questions or concerns.</div></div></div>

Lead Data Scientist – AI Engineer

Information Technology Senior Management Forum

<div><div>Posted Date
3/18/2026
</div><div>Description
<div>Principal Associate, Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering, fraud, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models. We develop predictive models, monitoring dashboards, and reporting using tools such as AWS, Snowflake, Python, and Spark. Our team produces the model outputs and data insights to operate our AML program efficiently and effectively. As the model developer for advancing transaction monitoring with machine learning, our team is responsible for end to end development, deployment, and monitoring of production models.
Role Description
In this role, you will:<ul><li>
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</li><li>
Leverage a broad stack of technologies &mdash; Python, Conda, AWS, H2O, Spark, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data</li><li>
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals</li></ul>
The Ideal Candidate is:<ul><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li><li>
Statistically-minded. You&rsquo;ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics</li><li>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)</li></ul></li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
At least 3 years&rsquo; experience in Python, Scala, or R</li><li>
At least 3 years&rsquo; experience with machine learning</li><li>
At least 3 years&rsquo; experience with SQL</li><li>
At least 1 year of experience working with AWS</li><li>
At least 1 year of experience with development of Generative AI models</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Chicago, IL: $147,100 - $167,900 for Princ Associate, Data Science 

McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science 

Richmond, VA: $147,100 - $167,900 for Princ Associate, Data Science 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Principal Associate, Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering, fraud, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models. We develop predictive models, monitoring dashboards, and reporting using tools such as AWS, Snowflake, Python, and Spark. Our team produces the model outputs and data insights to operate our AML program efficiently and effectively. As the model developer for advancing transaction monitoring with machine learning, our team is responsible for end to end development, deployment, and monitoring of production models.
Role Description
In this role, you will:<ul><li>
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</li><li>
Leverage a broad stack of technologies &mdash; Python, Conda, AWS, H2O, Spark, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data</li><li>
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals</li></ul>
The Ideal Candidate is:<ul><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li><li>
Statistically-minded. You&rsquo;ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics</li><li>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)</li></ul></li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
At least 3 years&rsquo; experience in Python, Scala, or R</li><li>
At least 3 years&rsquo; experience with machine learning</li><li>
At least 3 years&rsquo; experience with SQL</li><li>
At least 1 year of experience working with AWS</li><li>
At least 1 year of experience with development of Generative AI models</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Chicago, IL: $147,100 - $167,900 for Princ Associate, Data Science 

McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science 

Richmond, VA: $147,100 - $167,900 for Princ Associate, Data Science 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>
</div><div>Salary
147,100.00 - 167,900.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Principal Associate, Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights

Capital One

<div>Principal Associate, Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering, fraud, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models. We develop predictive models, monitoring dashboards, and reporting using tools such as AWS, Snowflake, Python, and Spark. Our team produces the model outputs and data insights to operate our AML program efficiently and effectively. As the model developer for advancing transaction monitoring with machine learning, our team is responsible for end to end development, deployment, and monitoring of production models.
Role Description
In this role, you will:<ul><li>
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</li><li>
Leverage a broad stack of technologies &mdash; Python, Conda, AWS, H2O, Spark, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data</li><li>
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals</li></ul>
The Ideal Candidate is:<ul><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li><li>
Statistically-minded. You&rsquo;ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics</li><li>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)</li></ul></li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
At least 3 years&rsquo; experience in Python, Scala, or R</li><li>
At least 3 years&rsquo; experience with machine learning</li><li>
At least 3 years&rsquo; experience with SQL</li><li>
At least 1 year of experience working with AWS</li><li>
At least 1 year of experience with development of Generative AI models</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Chicago, IL: $147,100 - $167,900 for Princ Associate, Data Science 

McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science 

Richmond, VA: $147,100 - $167,900 for Princ Associate, Data Science 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

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Principal Associate, Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights

Principal Associate, Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights