senior data mining analyst

Zurich Insurance

<div><div>Zurich North America is currently looking for a Senior Performance Data Analyst to join our Planning &amp; Performance Management Team. While this position will be based out of our Schaumburg, Illinois or our office in Chicago, IL, we are offering the flexibility to work both in the office and remotely. You will collaborate with your manager to set a schedule that supports you, your customers, and the team.</div><div></div><div><br>
The Senior Performance Data Analyst responsibilities include:</div><br>
<div></div><ul><li>
Analyze underwriting, financial, and operational data to identify key drivers, trends, and patterns</li><li>
Communicate analytical insights, trends and patterns to various stakeholders
</li><li>Develop and continuously improve forecasting and predictive models to support P&amp;L planning and rolling forecasts</li><li>
Partner with Finance and Actuarial teams to embed analytics into planning tools</li><li>
Deploy AI agents to automate forecasting tasks, scenario analysis, data quality, and other checks
</li><li>Use AI agents to surface insights, risks, and driver sensitivities in near real time</li><li>
Participate in special projects as assigned</li></ul><div></div><div><br>
Basic Qualifications:</div><div><br>
</div><ul><li>Bachelor&rsquo;s Degree and 6 or more years of experience in the Accounting or Finance area<br>
OR</li><li>
High School Diploma or Equivalent and 8 or more years of experience in the Accounting or Finance area<br>
OR</li><li>
Zurich Certified Insurance Apprentice including Associate Degree and 6 or more years of experience in the Accounting or Finance are</li></ul><div></div><div><br>
Preferred Qualifications:</div><br>
<div></div><ul><li>
Professional experience working with data mining, machine learning, predictive modeling and AI agents</li><li>
Insurance or financial services industry experience</li><li>
Strong communication skills to explain model outputs, assumptions, and insights to non‑technical stakeholders</li><li>
Experience supporting financial planning, budgeting, or rolling forecast processes
</li><li>Familiarity with planning and forecasting systems (e.g., Anaplan, BPC, EPM, or similar tools)
</li><li>Strong Microsoft Office experience</li><li>
Project management experience</li></ul><div></div><p>
Your pay at Zurich is based on your role, location, skills, and experience. We follow local laws to ensure fair compensation. You may also be eligible for bonuses and merit increases. If your expectations are above the listed range, we still encourage you to apply&mdash;your unique background matters to us. The proposed Salary range for this position is $87,200.00 - $142,700.00, with short-term incentive bonus eligibility set at 15%.</p><p></p><p><br>
We offer competitive pay and comprehensive benefits for employees and their families. [Learn more about Total Rewards here.]</p><p></p><p><b><br>
Why Zurich?</b></p><p>
At Zurich, we value your ideas and experience. We offer growth, inclusion, and a supportive environment&mdash;so you can help shape the future of insurance. Zurich North America is a leader in risk management, with over 150 years of expertise and coverage across 25+ industries, including 90% of the Fortune 500&reg;.</p><p></p><p><br>
Join us for a brighter future&mdash;for yourself and our customers.</p><p></p><p><br>
Zurich in North America does not discriminate based on race, ethnicity, color, religion, national origin, sex, gender expression, gender identity, genetic information, age, disability, protected veteran status, marital status, sexual orientation, pregnancy or other characteristics protected by applicable law. Equal Opportunity Employer disability/vets.</p><p></p><p><br>
Zurich complies with 18 U.S. Code &sect; 1033.</p><p></p><p><b><br>
Please note:</b> Zurich does not accept unsolicited CVs from agencies. Preferred vendors should use our Recruiting Agency Portal.</p><p></p><p><br>
Location(s): AM - Schaumburg, AM - Chicago<br>
Remote Working: Hybrid<br>
Schedule: Full Time<br>
Employment Sponsorship Offered: No
<br>
<br>
Linkedin Recruiter Tag: #LI-GR1 #LI-ASSOCIATE #LI-HYBRID</p></div><p></p>

Senior Performance Data Analyst

Machinify

<div><div><p>Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We&rsquo;re constantly reimagining what&rsquo;s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.</p></div><div><p><b>
About the Opportunity</b></p>
<p>
At Machinify, we&rsquo;re constantly reimagining what&rsquo;s possible in our industry&mdash;creating disruptively simple, powerfully clear ways to maximize our clients&rsquo; financial outcomes today and drive down healthcare costs tomorrow. As part of the Data Mining Group team, your role will require <b>in-depth technical expertise</b> in extracting hidden patterns and insights from large, complex datasets using advanced algorithms and data mining techniques. In this position, you will <b>lead small projects</b>, creating and maintaining comprehensive reports and visualizations that drive actionable insights. You will collaborate closely with other departments to ensure that data-driven solutions align with business objectives.</p>
<p>
Additionally, you will play a critical role in <b>training new analysts</b>, helping them develop technical and analytical skills. Your responsibilities will also include <b>designing and refining data processes and procedures</b>, ensuring continuous improvement in data mining operations. Working with over <b>$600 billion in medical data annually</b>, you will contribute to examining, interpreting, and visualizing trends in healthcare data, directly impacting business strategy and operational efficiencies. This role offers opportunities to <b>innovate</b> and take ownership of complex data-driven projects within a collaborative, forward-thinking team environment that fosters creative problem-solving.</p>
<p><b>
What you&rsquo;ll do</b></p>
<ul>
<li><ul><li>Examine, interpret, and visualize trends in medical data to generate actionable insights that support new business processes and refine existing ones.</li>
<li>Execute, maintain, and monitor SQL queries efficiently to meet business objectives.</li>
<li>Create and maintain detailed reports that combine narrative and visual elements to effectively communicate results to diverse audiences.</li>
<li>Continuously evaluate and enhance data mining and enrichment processes, developing tools and programs to identify new opportunities.</li>
<li>Lead and manage small data projects, ensuring timely and successful delivery.</li>
<li>Work closely with other departments to align data insights with organizational goals.</li>
<li>Build custom reporting queries for Business Operations.</li>
</ul></li>
</ul><p><b>What experience you bring (Role Requirements)
</b></p><ul><li><ul><li>Bachelor's degree in business, technology, or a related field.</li>
<li>Minimum of five years' expert experience with Microsoft SQL.</li>
<li>Experience with medical and pharmacy claims strongly preferred.</li>
<li>Advanced-level proficiency in Microsoft Excel.</li>
<li>SQL experience in a Big Data environment.</li>
<li>Ability to proactively develop innovative solutions while balancing multiple tasks.</li>
<li>Strong analytical skills with the ability to work in a high-performing, collaborative environment.</li>
</ul></li>
</ul><p><b>What We Offer</b></p>
<ul>
<li>Work from anywhere in the US! Machinify is digital-first.</li>
<li>Top Medical/Dental/Vision offerings</li>
<li>FSA/HSA</li>
<li>Tuition reimbursement</li>
<li>Competitive salary, 401(k) with company match</li>
<li>Additional health and wellness benefits and perks</li>
<li>Flexible and trusting environment where you&rsquo;ll feel empowered to do your best work</li>
</ul>
<p>The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range.</p>
<p>
Pay range: $90,000 - $140,000</p></div><div><div><b>
Equal Employment Opportunity at Machinify</b></div>
<div></div>
<div>We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/</div></div></div>

DMG Data Mining Analyst II New

The Home Depot

<div><p><b>Position Purpose:</b></p><p></p><p>
As a Senior Analyst on the Online Experimentation Team, you will help cross-functional stakeholders examine new ideas by formulating hypotheses and designing experiments to test those hypotheses - translating problem statements into experiment requirements, allowing them to accurately quantify the impact of their features. You will monitor and evaluate experiment results to measure impact and inform future strategies. You will continuously stay up to date with industry trends and best practices in experimentation and personalization.</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li>
65% - Data Analytics - Analyzes large volumes of data and leverages data analytics tools to create new dashboards, reports and any additional ad-hoc requests, using a wide variety of database applications / analytical tools /languages including GCP BigQuery, SQL, SAS, R, Python, Jupyter Notebook, Adobe Analytics, and Tableau.</li><li>
10% - Management of Data - Collaborate with other decision analysts to explore new sources of data; cleanse, validate and test data.</li><li>
5% - Project Management &amp; Support - Supports end users, solve problems and troubleshoots numerous issues.</li><li>
15% - Solution Development - Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions.</li><li>
5% - Technical Exploration &amp; Development - Develops additional technical competencies and subject matter expertise within core functional group, including but not limited to enhancements/modifications to systems and procedures.</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This position reports to the Manager</li><li>
This position has 0 direct reports</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
No travel required.</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.</li></ul><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be 18 years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Expand descriptive and prescriptive analysis for experimentation: Enhance data capture for experiments. Conduct in-depth analyses to identify patterns and trends. Apply advanced statistical methods to recommend actionable insights that clarify impacts and resolve discrepancies. Set standards and guidelines for process and analysis.</li><li>
Effective Storytelling with Data: Create visualizations and compelling narratives for complex situations and trends; tailoring explanations to a variety of audiences.</li><li>
ML &amp; AI for experimentation: Automate and enable more intuitive data querying and analysis. Explore various tools to enhance team capabilities. Develop scalable frameworks to detect recurring patterns across experiments.</li><li>
Effective Communication &amp; Collaboration: Comfortable with collaborating with team members and cross-functional partners.</li><li>
Master's degree in a quantitative field (Statistics, Analytics, Computer Science, etc.) or relevant work experience</li><li>
6+ years of experience in in data mining, statistical analysis, auditing, and/or forecasting</li><li>
Demonstrated expertise on data analysis and data visualization</li><li>
Demonstrated expertise on how to translate analysis into effective presentations</li><li>
Demonstrated expertise utilizing data analysis to identify key insights that help solve business problems</li><li>
Ability to apply experience in a wide variety of database applications, analytical tools and languages including SQL, SAS, Tableau, R, Python, Teradata, Oracle and similar tools</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Manage requests and roadmaps for insights for the online merchandising, marketing, and ELT organizations</li><li>
Produce deep, statistical analysis in service of predictive insights</li><li>
Ability to partner with requesting organizations to build KPI frameworks</li><li>
Ability to code in Python, R, SQL, Jupyter Notebook, VertexAI and AutoML</li><li>
Ability to visualize data using Tableau</li><li>
Experience managing multiple projects and working in a fast-paced environment</li><li>
Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problems solving.</li><li>
Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way.</li><li>
Superior interpersonal skills and ability to collaborate actively and work in a team environment.</li><li>
Ability to quickly learn and adapt to new technologies, tools, and techniques.</li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
5</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
6</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
No previous leadership experience</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
No previous leadership experience</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Action Oriented</li><li>
Collaborates</li><li>
Drives Engagement</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Drives Results</li><li>
Manages Conflict</li></ul></div>

Online Senior Decision Analyst – Experimentation

Zoolatech

<div><div><div><div><div><div><div><div><b>OVERVIEW</b></div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div><p>Our client, a globally recognized jewelry manufacturer, is seeking a Senior Business Analyst to support the development and evolution of data and analytics products within a global retail environment.</p><p>
The role plays a key part in driving transformation toward a more agile, data-driven operating model by shaping requirements, supporting product backlogs, and ensuring alignment between business objectives and technical delivery.</p>
</div><div><ul><li><p>Provide Data &amp; Analytics expertise on business processes and innovations on existing business processes from functional and technical perspectives.</p></li><li><p>
Support the Product Manager in developing and maintaining the product backlog / required business capabilities, including improvement opportunities.</p></li><li><p>
Create user stories with relevant acceptance criteria, scenarios, and estimate the business value and technical requirements of product backlog items.</p></li><li><p>
Prepare user acceptance test cases, training/user Manuals, and provide post go-live support.</p></li><li><p>
Engage with all stakeholders of Data &amp; Analytics (business, technical, product manager) to ensure no gap at any level, prepare Business Analysis artifacts including process maps, design flow, specifications, and wireframes.</p></li><li><p>
Contribute to gap analysis to uncover functionality that may require further configuration or an additional solution.</p></li><li><p>
Perform functional analysis and the modelling of business processes concerning key results/targets and how it related to data &amp; analytics, ensuring a cross-sectional view of the functional needs.</p></li><li><p>
Contribute to the design and testing of reports, interfaces, forms, and conversions (including validation and reconciliation of data conversions)</p></li><li><p>
Explore Data &amp; Analytics Products as a subject matter expert and may be the first adopter of emerging technologies.</p></li><li><p>
You will work with transformation and relentless improvement towards a more agile operating model, creating faster time to market, better quality, and more efficiency.</p></li></ul>
</div><div><ul><li><p>8+ years of experience as a Business Analyst within Data &amp; Analytics, applying agile business analysis principles and a product-thinking mindset to deliver measurable outcomes.</p></li><li><p>
Experience supporting unified commerce initiatives and working with data across global retail and store operations.</p></li><li><p>
Proficiency in requirements analysis and solution design for data and analytics products, including backlog refinement and value estimation.</p></li><li><p>
Excellent communication and client-facing skills, with the ability to analyze complex problems, influence and negotiate with stakeholders, and drive delivery across a large, complex organization with multiple teams and dependencies.</p></li><li><p>
Experience in retail domain is highly desirable
</p></li></ul></div></div></div><div><div><div><div><p>Location:
</p><div>Istanbul, Turkey
</div></div><div><p>Seniority:
</p><div>Senior
</div></div><div><p>Technologies:
</p><div>Product/Analyst
</div></div></div></div><div><div><p>Benefits:
</p><ul><li><b>Paid Vacation
</b></li><li><b>Hybrid Work (home/office)
</b></li><li><b>Sick Days
</b></li><li><b>Sport/Insurance Compensation
</b></li><li><b>Holidays Day Off
</b></li><li><b>English Classes
</b></li><li><b>Training Compensation
</b></li><li><b>Transportation compensation</b></li></ul></div></div></div></div></div></div>

Senior Business Analyst - Data & Analytics

American Eagle Outfitters

<div><p><b>SENIOR ANALYST &ndash; DATA INSIGHTS
</b></p><p>AEO Employment Services Co LLC seeks a Senior Analyst &ndash; Data Insights. This is a remote position, the employee can work from anywhere in the United States to drive retail and e-commerce insights. Duties include: (i) deep analysis of consumer behavior including website traffic, conversion rates and out of stock analysis (ii) analysis of product recommendation engines and impact on purchases (iii) acquisition analysis including MTA (multi&ndash;touch attribution), MMM (marketing mix modeling), last touch attribution and other analysis to inform spending mix across channels and products (iv) supply chain visualizations for network efficiency and RFID tracking technology and (v) maintain tracking and tagging of all products in retail and ecommerce catalog.
</p><p>This is a fully remote position, and the employee can work from anywhere in the United States.
</p><p>Must have a Master&rsquo;s degree (or foreign equivalent degree) in Computer Science, Information Systems, or a related field plus four (4) years of experience in a related position.
</p><p>Experience must include four (4) years of experience with: (i) Creating database layers for business intelligence standardization using GCP or AWS cloud platforms; (ii) Tableau desktop to create dashboards for data visualizations, time series analysis, deployment of rich graphic visualizations with drill down and drop down menu option and parameters; (iii) Tableau Server to oversee and maintain the overall health and performance of a Tableau Server environment including managing user access, ensuring data security, configuring sites, handling content management and monitoring server performance; (iv) Cognos for Ad-Hoc and developed reports that are scheduled, triggered &amp;amp; distributed using relational and dimensional report models in various formats - HTML, XML, Excel, PDF.
</p><p>Experience with Dynamic cubes and PowerPlay cubes as well as Dimensionally Modeled Relational Framework
</p><p>Manager Models and the ability to migrate these reports and dashboards to Tableau; and (v) Advanced SQL including complex joins and subqueries, window functions and Common Table Expressions (CTEs) for effective query organization, query optimization and performance tuning.
</p><p>Experience can be concurrent.
</p><p>Apply at https://aeo.jobs with cover letter, resum&eacute; and salary requirements.
</p><p><b>PAY/BENEFITS INFORMATION:
</b></p><ul><li>Actual starting pay is determined by various factors, including but not limited to relevant experience and location.
</li><li>Subject to eligibility requirements, associates may receive health care benefits (including medical, vision, and dental); wellness benefits; 401(k) retirement benefits; life and disability insurance; employee stock purchase program; paid time off; paid sick leave; and parental leave and benefits.
</li><li>Paid Time Off, paid sick leave, and holiday pay vary by job level and type, job location, employment classification (part-time or full-time / exempt or non-exempt), and years of service. For additional information, please click here
</li><li>AEO may also provide discretionary bonuses and other incentives at its discretion.
</li></ul><p>#LI-DNI</p></div>

Senior Analyst - Data Insights

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Position Overview
  <br/>
  <br/>
 </strong>
 At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company&rsquo;s success. As a Data Scientist Sr within PNC's Technology organization, you will be based in Pittsburgh, PA, Cleveland, OH, Birmingham, AL or Dallas, TX.
 <br/>
 <br/>
 Our team delivers high quality solutions by effectively and thoughtfully utilizing the power of AI, facilitating collaboration between business and technical stakeholders to identify and prioritize opportunities.
 <br/>
 <br/>
 <ul>
  <li>
   We equip teams with the skills, tools and environments to manage increasing complexity, enabling their swift action on key business decisions.
  </li>
  <li>
   We enable AI based automation and data-driven decision making to optimize business processes, enabling teams to focus attention on higher value tasks
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Responsibilities And Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Internal client consultation to elicit and collect requirements, and communicate and align the technical team toward delivery
  </li>
  <li>
   Machine learning model solution design, build, orchestration and implementation
  </li>
  <li>
   Experience building solutions with model governance, risk management, and regulatory adherence at top of mind
  </li>
  <li>
   Substantial experience implementing production AI/ML solutions.
  </li>
  <li>
   Continuous support of models deployed to production applications
  </li>
  <li>
   Release planning, coordination, and hands on support throughout release windows
  </li>
  <li>
   Experience with production implementations that leverage generative AI and LLMs a plus
   <br/>
   <br/>
  </li>
 </ul>
 PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.
 <br/>
 <br/>
 PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
  </li>
  <li>
   Directs the data gathering, data processing and data mining of large and complex datasets.
  </li>
  <li>
   Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.
  </li>
  <li>
   Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling.
  </li>
  <li>
   Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.
   <br/>
   <br/>
  </li>
 </ul>
 PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
 <br/>
 <br/>
 <ul>
  <li>
   Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  </li>
  <li>
   Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.
 <br/>
 <br/>
 <strong>
  Preferred Skills
  <br/>
  <br/>
 </strong>
 Analytical Thinking, Artificial Intelligence (AI), Competitive Advantages, Consultation, Data Analytics, Data Mining, Data Science, Machine Learning (ML), Model Governance, Solution Building
 <br/>
 <br/>
 <strong>
  Competencies
  <br/>
  <br/>
 </strong>
 Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools
 <br/>
 <br/>
 <strong>
  Work Experience
  <br/>
  <br/>
 </strong>
 Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
 <br/>
 <br/>
 <strong>
  Education
  <br/>
  <br/>
 </strong>
 Masters
 <br/>
 <br/>
 <strong>
  Certifications
  <br/>
  <br/>
 </strong>
 No Required Certification(s)
 <br/>
 <br/>
 <strong>
  Licenses
  <br/>
  <br/>
 </strong>
 No Required License(s)
 <br/>
 <br/>
 <strong>
  Pay Transparency
  <br/>
  <br/>
 </strong>
 Base Salary: $65,000.00 &ndash; $165,370.00
 <br/>
 <br/>
 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.
 <br/>
 <br/>
 <strong>
  Application Window
  <br/>
  <br/>
 </strong>
 Generally, this opening is expected to be posted for two business days from 07/01/2025, although it may be longer with business discretion.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.
 <br/>
 <br/>
 In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.
 <br/>
 <br/>
 To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com.
 <br/>
 <br/>
 <strong>
  Disability Accommodations Statement
  <br/>
  <br/>
 </strong>
 If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include &ldquo;accommodation request&rdquo; in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
 <br/>
 <br/>
 At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.
 <br/>
 <br/>
 <strong>
  Equal Employment Opportunity (EEO)
  <br/>
  <br/>
 </strong>
 PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
 <br/>
 <br/>
 This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.
 <br/>
 <br/>
 <strong>
  California Residents
  <br/>
  <br/>
 </strong>
 Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.
</div>


AI Data Scientist Sr

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
As a Data Science Senior Associate in the Card Data &amp; Analytics team, you will develop AI/ML solutions that drive the bottom line for our Credit Card business. You will utilize your skills in data analytics, consulting, and programming to support strategic initiatives and deliver actionable insights. Collaborate with partners across the Card business to define problems, scope solutions, and deliver high-quality analytical models. Your work will involve a mix of consulting, data science, and programming, with a focus on driving data science and analytics strategies.</p><p>
</p><p><b>Job Responsibilities:</b></p><ul><li>
Leverage experience and analytical skills to uncover novel use cases of Big Data analytics, including opportunities to responsibly apply foundation models and Generative AI.</li><li>
Drive data science and analytics strategies, including recommendations on analytical products and standards.</li><li>
Help partners define business problems and scope analytical solutions.</li><li>
Build an understanding of problem domains and available data assets.</li><li>
Research, design, implement, and evaluate analytical approaches and models, including GenAI-based methods.</li><li>
Perform exploratory statistics and data mining tasks on diverse datasets.</li><li>
Communicate findings and obstacles to stakeholders to drive delivery to market.</li><li>
Develop subject matter expertise in financial and operational domains.</li><li>
Code solutions with strong programming skills.</li><li>
Collaborate across teams to deliver the best solutions for clients.</li></ul><p><b>
Required Qualifications, Capabilities, and Skills:</b></p><ul><li>
Bachelor&rsquo;s degree in a relevant quantitative field and 3+ years of data analytics experience, or advanced degree and 2+ years of experience.</li><li>
Exceptional analytical, quantitative, problem-solving, and communication skills.</li><li>
Intellectual curiosity for solving business problems.</li><li>
Leadership and collaboration skills.</li><li>
Knowledge of statistical software (e.g., Python, R, SAS) and data querying languages (e.g., SQL).</li><li>
Familiarity with GenAI and prompt engineering basics (prompt design, evaluation, guardrails).</li><li>
Experience with modern analytics tools (e.g., SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx).</li><li>
Ability to convey complex information to technical and non-technical audiences.</li></ul><p><b>
Preferred Qualifications, Capabilities, and Skills:</b></p><ul><li>
Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM quality, cost, and latency.</li><li>
Understanding of key drivers within the credit card P&amp;L.</li><li>
Financial services background preferred.</li><li>
M.S. degree or equivalent.</li></ul>
<b>ABOUT US</b><p><br>
Chase is a leading financial services firm, helping nearly half of America&rsquo;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
</p><p></p><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><p></p><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p><p></p><p>
Equal Opportunity Employer/Disability/Veterans</p><br>
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<b>ABOUT THE TEAM</b><br>
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Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div><div><br>
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</div><div>The CCB Data &amp; Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.</div></div>

Data Science Senior Associate - Card Data & Analytics team

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