machine learning analyst

Fiserv

<div><div><div><p><b>Calling all innovators - find your future at Fiserv.</b></p><p></p><p>
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.</p><p></p><p><b>
Job Title</b></p>
Data Science Analyst<p></p><p><b>
What does a successful Data Science Analyst do at Fiserv?</b><br>
As a Data Science Analyst in the 2026 Technology Analyst Program at Fiserv, you will apply modern data and AI techniques to power the next generation of fintech experiences. Over two structured assignments, you gain hands-on experience with Python, SQL, machine learning, and large language models while contributing to high-impact business solutions. You collaborate across product, data, and engineering teams to design, benchmark, and scale AI-driven analytics that support our clients&rsquo; needs at the speed of life. Through formal training, mentorship, and exposure to senior leaders, you accelerate your growth as a data and AI professional while helping Fiserv lead the industry as a true partner in possibility.</p><p></p><p><b>
What you will do:</b></p><ul><li>
Leverage Python and SQL to clean, transform, and synthesize high-quality datasets used to train and evaluate AI and analytics solutions.</li><li>
Build and refine LLM-powered workflows and autonomous agents using prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning to automate complex analytical tasks.</li><li>
Design and execute experiments to benchmark model performance using LLM evaluation metrics such as accuracy, latency, and reasoning consistency.</li><li>
Develop visualizations and reports that clearly explain model behavior, &ldquo;agentic&rdquo; decision-making, and analytical findings to technical and non-technical stakeholders.</li><li>
Contribute to the lifecycle of machine learning models, from prototyping through deployment into scalable AI systems that optimize internal business processes.</li><li>
Apply statistical techniques and predictive modeling to identify trends, quantify impact, and recommend data-driven actions that support business innovation.</li></ul><p></p><p><b>
What you will need to have:</b></p><ul><li>
Recent graduate of a bachelor&rsquo;s degree completed in December 2024 or later in Computer Science, Data Science, Statistics, Mathematics, Business Analytics, Management Information Systems, or a related technology field (or equivalent military experience).</li><li>
3.0+ cumulative GPA</li><li>
Foundational experience (academic, internship, or professional) with:<ul><li>
Python for data preparation, statistical analysis, and modeling</li><li>
SQL for querying and working with relational or cloud datasets.</li></ul></li><li>
0&ndash;2 years of relevant internship, co-op, military, or professional experience.</li><li>
Authorization to work in the U.S. without the need for visa sponsorship now or in the future.</li></ul><p></p><p><b>
What would be great to have:</b></p><ul><li>
Exposure to machine learning concepts or frameworks (such as scikit-learn, TensorFlow, or PyTorch).</li><li>
Experience working with data visualization tools such as Power BI, Tableau, or similar platforms.</li><li>
Familiarity with cloud-based data or analytics environments (e.g., AWS, Azure, GCP).</li><li>
Introductory experience or coursework related to AI, large language models, or advanced analytics.</li><li>
Strong problem-solving skills with the ability to learn new tools and technologies quickly.</li><li>
Effective written and verbal communication skills.</li><li>
Ability to manage multiple priorities in a fast-paced, collaborative environment.</li><li>
Military-affiliated candidates are encouraged to apply (Veterans, Military Spouses, Guard/Reservists).</li></ul><p></p><p><b>
Perks at Work:</b></p><ul><li>
We&rsquo;re #FiservProud of our commitment to your overall well-being with a growing offering of physical, mental, emotional, and financial benefits from day one.</li><li>
Maintain a healthy work-life balance with paid holidays, generous time off policies, including Recharge &amp; Refuel time for qualifying associates, and free counseling through our EAP.</li><li>
Plan for your future with competitive salaries, the Fiserv 401(k) Savings Plan, and our Employee Stock Purchase Plan.</li><li>
Recognize and be recognized by colleagues with our Living Proof program where you can exchange points for a variety of rewards.</li><li>
Prioritize your health with a variety of medical, dental, vision, life and disability insurance options and a range of well-being resources through our Fuel Your Life program.</li><li>
Advance your career with training, development, certification, and internal mobility opportunities.</li><li>
Join Employee Resource Groups that promote our diverse and inclusive culture where associates can share perspectives, exchange ideas, and elevate careers.</li></ul><p></p><p><b>
In order to be considered, you must be legally authorized to work in the U.S. without need for visa sponsorship, now or in the future.</b></p><p></p><p><b>
Salary Range</b></p>
$60,800.00 - $91,200.00<p></p><p><i>
These pay ranges apply to employees in Massachusetts, California (excluding Sunnyvale) and District of Columbia. Pay ranges for employees in other states may differ.</i></p><p></p><p>
It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.</p><p></p>
This position is not eligible for an annual incentive opportunity and is also not eligible to earn commissions.<p></p><p>
Thank you for considering employment with Fiserv. Please:</p><p></p><ul><li>
Apply using your legal name</li><li>
Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).</li></ul><p></p><p><b>
Our commitment to Equal Opportunity:</b></p><p>
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.</p><p></p><p>
If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact AskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv&rsquo;s Disability Accommodation Policy for additional information.</p><p></p><p><b>
Note to agencies:</b></p><p>
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.</p><p></p><p><b>
Warning about fake job posts:</b></p><p>
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.</p></div></div></div><p></p>

Data Science Analyst

Apple

<div>At Apple, we focus deeply on our customers&rsquo; experience. Apple Ads brings this same approach to advertising, helping people find exactly what they&rsquo;re looking for and helping advertisers grow their businesses.<br>
<br>
Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone.<br>
<br>
<b>Description</b><br>
<br>
Core Insights partners closely with Product, Partner Development, Marketplace, and Leadership to answer three fundamental questions: How is the business performing? What changed, and why? What should we do next?<br>
<br>
This role is business-first. You will own the health of key business metrics, investigate performance changes, and translate analysis into clear insights and recommended actions. Advanced analytics and machine learning may be used where appropriate, but success in this role is defined by judgment, clarity, and business impact rather than technical sophistication alone.<br>
<br>
This role may be filled by candidates with varying levels of machine learning experience. All hires are expected to own business KPIs end to end, explain performance changes clearly, and influence decisions through insights. Some candidates will primarily focus on reporting, experimentation, and driver analysis, while others may apply machine learning to scale analysis or surface patterns. In all cases, success is defined by business impact.<br>
<br>
As part of this team, you will:<br>
<br>
<ul><li>Own the health of core Apple Ads business KPIs and proactively investigate performance changes</li></ul><br>
<ul><li>Perform deep-dives of key drivers , including baselines, seasonality, segmentation, and causal hypotheses</li></ul><br>
<ul><li>Build and maintain clear, decision-oriented reporting and dashboards</li></ul><br>
<ul><li>Apply statistical analysis and data science techniques to understand business performance, diagnose metric movement, and translate analytical findings into concrete recommendations for cross-functional partners</li></ul><br>
<ul><li>Partner closely with Product, Partner Development, Marketplace, and Leadership to support business decisions</li></ul><br>
<ul><li>Apply experimentation, statistical analysis, and machine learning where they meaningfully improve business understanding or outcomes</li></ul><br>
<b>
Preferred Qualifications</b><br>
<br>
Experience working in digital advertising, marketplaces, or other performance-driven consumer businesses<br>
<br>
Familiarity with metrics related to auctions, pricing, supply and demand, or performance optimization<br>
<br>
Experience building and maintaining business-facing dashboards or recurring performance reporting<br>
<br>
Comfort influencing decisions without perfect data<br>
<br>
Experience applying machine learning to real-world business problems with clear downstream impact<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
Bachelor&rsquo;s degree in Computer Science, Machine Learning or a related field, or related experience<br>
<br>
5+ years of experience in Business Analytics, Data Science, or a related analytical role<br>
<br>
Strong SQL (Snowflake, AWS Athena or similar platforms) and Python skills (experience using libraries such as Pandas, SciPy, and scikit-learn) with demonstrated end-to-end analytics ownership<br>
<br>
Experience diagnosing metric movement through experimentation, lift analysis, or performance investigations<br>
<br>
Ability to explain analytical work clearly to non-technical audiences<br>
<br>
Experience partnering cross-functionally in ambiguous, fast-moving environments<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $141,800 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

Data Scientist - Core Insights, Apple Ads

Berkshire Hathaway Direct Insurance Company

<div>Description:
<p>
Berkshire Hathaway Direct Insurance Company (biBerk) offers a collaborative company culture with outstanding benefits and competitive compensation. Our success is founded on our strong reputation, and we have received an A+ &ldquo;Superior&rdquo; grade by the leading independent insurance rating organization. Backed by our ultimate parent company, Berkshire Hathaway Inc., our brand is founded upon trust, service, and innovation. If you&rsquo;re looking for an employer with integrity and flexibility, keep reading to learn about our benefits and job openings.</p><p>
This role requires hybrid work in our Stamford, CT or Parsippany, NJ office.</p><p><b>
Job Responsibilities</b></p><ul><li>
Gather and manipulate data from various sources including internal and external data to be optimal for analysis by product analysts/actuaries/data scientists.</li><li>
Clean and maintain data models and pipelines using Python and SQL to help develop and improve Artificial Intelligence Insurance Underwriting and Audit models.</li><li>
Write and maintain scripts to test various artificial intelligence algorithms including testing use of AI Agents</li></ul>
Requirements:
<p><b>
Qualifications</b></p><p>
Required:</p><ul><li>
2+ years of professional experience in a data analyst, analytics engineer, or similar role.</li><li>
Hands-on experience with Python for data manipulation and analytics (e.g., pandas, NumPy, or similar).</li><li>
Strong working knowledge of SQL (complex joins, aggregations, performance tuning).</li><li>
Solid understanding of data pipelines and high-level analytics architecture.</li><li>
Comfortable working in an agile / sprint-based development model.</li><li>
Strong problem-solving skills and attention to data quality and detail.</li></ul><p>
Preferred Qualifications:</p><ul><li>
Experience in Property &amp; Casualty Insurance, especially Small Commercial lines.</li><li>
Experience working with relational databases, preferably SQL Server.</li><li>
Familiarity with underwriting, exposure data, or rating variables.</li><li>
Exposure to machine learning or AI-driven analytics environments (model inputs, monitoring, or validation).</li><li>
Experience supporting production analytics or reporting systems.</li><li>
Familiarity With version control tools (e.g., Git) and basic CI/CD concepts.</li></ul><p><b>
About Us</b></p><p>
biBerk is where commercial insurance buyers can obtain coverage for their businesses from insurers of the Berkshire Hathaway group of Insurance Companies, one of the best capitalized insurance groups in the world. Our ultimate parent, Berkshire Hathaway Inc. (berkshirehathaway.com) is a holding company with diversified interests in a host of industries, including insurance, energy, transportation and manufacturing. Most policies issued through biBerk.com will be underwritten by Berkshire Hathaway Direct Insurance Company (&quot;&quot;BHDIC&quot;&quot;), which is an AM Best rated A++ insurer.</p><p><br>
BHDIC is domiciled in Omaha, Nebraska. BHDIC and the team at biBerk are focused on helping small business owners quickly and easily buy affordable insurance directly from a financially strong insurance company they can trust.</p><p><br>
BHDIC is excited to announce our comprehensive benefits package with some new and enhanced features for 2026 that include:</p><ul><li>
Medical (PPO/HDHP), vision, disability, and life insurance.</li><li>
Enhanced dental plan with orthodontia coverage in addition to a standard plan.</li><li>
Generous PTO plan for all benefit-time eligible employees.</li><li>
Paid company holidays and 4 floating holidays.</li><li>
Paid parental leave.</li><li>
Employee Retirement Savings Plan/401(k) with company match and immediate vesting.</li><li>
Education Assistance Program that offers 100% upfront tuition reimbursement after 6 months of service for approved degree programs.</li><li>
Service Recognition Program that provides a monetary award to be used toward a vacation every 5 years of employment.</li><li>
Wellness Initiatives that include Fitness Center and Weight Watchers Reimbursement programs.</li><li>
Voluntary benefits that include accident, critical illness, and hospital indemnity.</li><li>
Employee discount and rewards program on travel, tickets, electronics, home, and more.</li></ul><p>
In accordance with pay transparency laws and regulations, the following good faith compensation range estimate is being provided. The salary range for this position is $80,000 to $120,000 per year. Final compensation will be based on candidate qualifications, geographic location, and other considerations permitted by law.</p></div>

Data Engineer - Property & Casualty Insurance

Credit Acceptance

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>Credit Acceptance is proud to be an award-winning company with local and national workplace recognition in multiple categories! Our world-class culture is shaped by dedicated Team Members who share a drive to succeed as professionals and together as a company. A great product, amazing people and our stable financial history have made us one of the largest used car finance companies nationally.
</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture!
</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p>The Senior Analyst, Predictive Analytics and Machine Learning designs, develops, and maintains statistical and machine learning models that support high‑impact business decisions across pricing, credit risk, and other areas. This role is a hands‑on, advanced individual contributor position focused on rigorous analysis, model development, and production performance monitoring, with strong partnership across business and technical stakeholders.
<p></p><h2 class="jobSectionHeader"><b>Outcomes and Activities:
</b></h2><ul><li>This position will work from home; occasional planned travel to our Southfield, Michigan office may be required. However, this position is permitted to work at our Southfield, Michigan office if requested by the team member.
</li><li>Develop and maintain complex statistical and machine learning models that optimize high‑volume, data‑driven decisions and deliver measurable business value.
</li><li>Actively monitor models in production, identify performance degradation or data issues, and recommend corrective actions or enhancements.
</li><li>Develop complex SQL and analytical code to extract, transform, and validate large, multi‑source datasets used for modeling, reporting, and decision support.
</li><li>Perform ad hoc and exploratory analyses to address business questions, evaluate trade‑offs, and inform policy or strategy decisions.
</li><li>Translate high‑level business objectives into analytical tasks, technical specifications, and modeling approaches.
</li><li>Ensure data quality, consistency, and suitability for modeling; support testing, validation, and implementation activities required for production deployment.
</li></ul><h2 class="jobSectionHeader"><b>Requirements:
</b></h2><ul><li>Bachelor&rsquo;s degree or higher in a quantitative field (e.g., statistics, mathematics, economics, engineering, computer science, or related discipline).
</li><li>3+ years of experience applying analytical and programming skills in a business or research environment.
</li><li>Proficiency in one or more analytical and programming languages such as Python, SQL, R, or SAS.
</li><li>Strong analytical problem‑solving skills with the ability to apply quantitative methods creatively to business problems.
</li><li>Expertise in extracting, manipulating, and analyzing large‑scale datasets.
</li></ul><p></p><h2 class="jobSectionHeader"><b>Preferred:
</b></h2><ul><li>Advanced proficiency in Python, SQL, and statistical tools (e.g., R, SAS).
</li><li>Experience developing or supporting predictive models such as credit scorecards, pricing models, or collections strategies.
</li><li>Experience in financial services analytics or a related regulated, data‑intensive industry.
</li><li>Familiarity with model performance monitoring, validation concepts, and production analytics.
</li></ul><p></p><p><b>Targeted Compensation: </b>$128,000 - $165,000 base salary + an annual bonus plan
</p><p></p><p>This position is not currently open to individuals who require sponsorship now or in the future to work legally for Credit Acceptance, such as H-1b / H-4 or F-1 OPT visa holders.
</p><p></p><p>#LI-Remote
</p><p>#zip
</p><p>INDCSLP
</p><p></p><p><b>Benefits
</b></p><ul><li>Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work
</li></ul><p></p><p><b>Our Company Values:
</b></p><p>To be successful in this role, Team Members need to be:
</p><ul><li>Positive by maintaining resiliency and focusing on solutions
</li><li>Respectful by collaborating and actively listening
</li><li>Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions
</li><li>Direct by effectively communicating and conveying courage
</li><li>Earnest by taking accountability, applying feedback and effectively planning and priority setting
</li></ul><p></p><p><b>Expectations:
</b></p><ul><li>Remain compliant with our policies processes and legal guidelines
</li><li>All other duties as assigned
</li><li>Attendance as required by department
</li></ul><p></p><p><b>Advice </b>!
</p><p>We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application!<br>
</p><p></p><p><b>P.S </b>.
</p><p>We have great details around our stats, success, history and more. We&rsquo;re proud of our culture and are happy to share why &ndash; let&rsquo;s talk!
</p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent.
</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person&rsquo;s age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic.
</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><p>California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you.</p></div><p></p>

Senior Analyst, Predictive Analytics and Machine Learning

Metropolitan Commercial Bank

<div><p><b>Come Work With Us:</b></p>
<p>
Metropolitan Commercial Bank (&quot;MCB&quot; or the &quot;Bank&quot;) is a New York City&ndash;based, full-service commercial bank providing tailored banking solutions to businesses, institutions, and individuals. Founded in 1999, MCB operates banking centers in Manhattan and Boro Park, Brooklyn, within New York City, as well as in Great Neck on Long Island, New York, and Lakewood, New Jersey. The Bank recently expanded to Miami, Florida with their newest Brickell banking center.</p>
<p>
Metropolitan Commercial Bank offers a comprehensive suite of commercial, business, and personal banking products and services to small businesses, middle-market and corporate enterprises, private and public institutions, municipalities, and local government entities.</p>
<p>
The Bank has earned national recognition for its financial performance, innovation, and strategic growth. The Bank was named one of Newsweek's Best Regional Banks in 2024 and 2025. Additionally, MCB recently received Editor's Choice recognition at the Banking Tech Awards USA for Digital Onboarding &amp; Omnichannel Banking and in 2026, the Bank earned Great Place To Work certification and received the Web Award Standard of Excellence for MCBankNY.com.</p>
<p>
We are a client-focused organization that values technological innovation and excellence. A strong technical mindset, AI fluency, and adaptive skills are essential for our employees to effectively contribute to our mission and drive our success. We foster human&ndash;AI teaming and strong governance to ensure technology is used responsibly and in alignment with Bank policies and procedures. For more information about the Bank, please visit the Bank's website at MCBankNY.com.</p><br>
<p></p>
<p><b>
Position Summary:</b></p>
<p>
Metropolitan Commercial Bank (the &quot;Bank&quot;) is seeking an Applied AI Analyst to support the design, configuration, testing, and monitoring of applied AI, Generative AI, machine learning, and agentic workflow solutions in a highly regulated banking environment. Working under the guidance of AI Scientists and in partnership with engineering, risk, and business teams, this role focuses on internal human-in-the-loop use cases such as AI-assisted loan documentation generation, fraudulent transaction detection models, policy and knowledge copilots, workflow automation, and other productivity solutions. A meaningful portion of the role is dedicated to AI solution intake and delivery support&mdash; learning new business domains, engaging business owners, preparing required documentation, and supporting vendor and risk reviews, so that solutions can be built and deployed under strict control gates and documentation standards aligned to internal and external regulations. The role emphasizes strong documentation, human oversight, privacy-by-design, cybersecurity, and disciplined lifecycle controls aligned to internal and external regulations. The role also emphasizes familiarity with Microsoft Foundry / Foundry Agent Service, approved Microsoft Copilot ecosystems, RAG architectures, and enterprise data platforms such as Snowflake.</p>
<p><i>
Standard 4-day in-office requirement, 1 day remote (of your choosing)</i></p>
<p><b>
Essential Functions &amp; Responsibilities</b></p>
<p><b>
Applied AI solution development &amp; analysis:</b></p>
<ul>
<li>Support AI Scientists in building, configuring, and testing applied AI/GenAI solutions for high-value banking use cases such as credit memo generation, policy/regulatory summarization, knowledge assistants, and internal productivity copilots.</li>
<li>Develop and refine prompts, grounding instructions, structured outputs, evaluation datasets, and Retrieval-Augmented Generation (RAG) pipelines using embeddings, vector search, document chunking, and metadata-driven retrieval.</li>
<li>Prepare and transform structured and unstructured data; assist with API integrations, notebooks, and repeatable workflows that improve quality, traceability, and analyst productivity.</li>
</ul>
<p><b>Agentic workflow design &amp; orchestration:</b></p>
<ul>
<li>Assist in designing and testing agentic workflows using approved enterprise platforms and frameworks, including multi-agent patterns, human-in-the-loop approvals, handoffs, and subagent / agents-as-tools designs.</li>
<li>Work with emerging interoperability patterns such as Model Context Protocol (MCP), tool / skill / plugin integration, and Agent-to-Agent (A2A) connectivity under supervision and within approved guardrails.</li>
<li>Document workflow steps, tool schemas, fallback logic, escalation paths, and safe disablement / rollback procedures for agentic and GenAI solutions.</li>
</ul>
<p><b>Microsoft Foundry, Copilot, and enterprise platform enablement:</b></p>
<ul>
<li>Support prototyping and evaluation in Microsoft Foundry / Foundry Agent Service and related Microsoft ecosystems (for example, Microsoft 365 Copilot) while partnering with Engineering and Data teams operating on Snowflake and other approved enterprise platforms.</li>
<li>Assist with prompt and agent configuration, retrieval integration, logging, model / tool versioning, and operational runbooks.</li>
</ul>
<p><b>Evaluation, testing, and monitoring:</b></p>
<ul>
<li>Create and execute test cases for accuracy, groundedness, hallucination, task completion, retrieval quality, bias/fairness, and basic adversarial or prompt-injection scenarios; escalate issues promptly.</li>
<li>Track KPIs/KRIs, output quality, drift indicators, and user feedback; maintain evidence needed for pilot reviews, production monitoring, and periodic reassessment.</li>
</ul>
<p><b>AI governance, intake documentation, and cybersecurity/privacy controls:</b></p>
<ul>
<li>Support AI use-case intake and governance processes by preparing required documentation (e.g., AI intake forms, model/system inventories, change-control artifacts, and audit-ready evidence packs) aligned to MCB's Trustworthy &amp; Responsible AI Principles and internal approval processes.</li>
<li>Learn domain and process context for new use cases by speaking with business owners and control partners; translate requirements into clear problem statements, data needs, user journeys, control gates, and documentation required to comply with internal and external regulations.</li>
<li>Support third-party / AI vendor due diligence by collecting and organizing evidence, reviewing vendor documentation, and helping risk-tier AI vendors and solutions in partnership with Third-Party Risk and Cyber/IT; act as an AI subject matter expert in providing an understanding of AI-specific risks.</li>
<li>Apply privacy-by-design, data minimization, access-control, and secure prompt/data handling practices; follow approved tooling and build standards.</li>
</ul>
<p><b>Cross-functional partnership and continuous learning:</b></p>
<ul>
<li>Communicate findings, limitations, and recommendations clearly to AI Scientists, managers, control partners (Model Risk, Compliance/Legal, Cyber/IT, Data Privacy), and business stakeholders; incorporate feedback quickly and accurately.</li>
<li>Contribute to playbooks, standard operating procedures, and reusable templates for prompts, evaluations, agent patterns, and workflow controls.</li>
</ul>
<p><b>Innovation and best practices:</b></p>
<ul>
<li>Stay current on practical applied-AI methods&mdash;including RAG, evaluation frameworks, agentic workflow design, MCP, A2A, and Microsoft Foundry capabilities&mdash;and recommend fit-for-purpose uses under established control gates.</li>
<li>Demonstrate sound judgment, curiosity, and willingness to learn from senior AI Scientists while promoting responsible AI, reproducibility, and disciplined execution.</li>
</ul>
<p><b>Qualifications &amp; Skills:</b></p>
<ul>
<li>2+ years of work experience.</li>
<li>Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Information Systems, Mathematics, or a related field is preferred. Relevant internships, apprenticeships, or comparable hands-on AI, analytics, or automation project experience will be considered.</li>
<li>Working knowledge of Python, SQL, notebooks, REST APIs, JSON/YAML, and version control (e.g., Git) for data analysis and AI workflow support.</li>
<li>Understanding of traditional machine learning model development and lifecycle concepts, including model training, data leakage prevention, testing/validation, monitoring, and common performance metrics for classification and regression.</li>
<li>Familiarity with LLM application patterns, including prompt engineering, structured outputs, function/tool calling, Retrieval-Augmented Generation (RAG), embeddings, and vector search.</li>
<li>Familiarity with Microsoft Foundry (including Foundry Agent Service), Microsoft 365 Copilot / Copilot Studio concepts, and approved enterprise data/AI platforms such as Snowflake.</li>
<li>Understanding of agentic workflow concepts such as MCP servers/tools, skills/plugins, subagents or agents-as-tools, handoffs, human-in-the-loop controls, and A2A integration patterns.</li>
<li>Ability to test and evaluate AI outputs for accuracy, groundedness, hallucination, retrieval quality, bias/fairness, and basic security misuse scenarios.</li>
<li>Working knowledge of model and data governance concepts, including documentation, monitoring, change control, inventories, audit trails, and three-lines-of-defense oversight in a regulated environment.</li>
<li>Strong written and verbal communication skills; ability to turn technical findings into clear summaries, test evidence, and action items for business and risk stakeholders.</li>
<li>Analytical, organized, and adaptable mindset; ability to learn quickly, manage multiple workstreams, and balance innovation with risk discipline.</li>
</ul>
<p><b>Preferred Qualifications &amp; Skills</b></p>
<ul>
<li>Financial services exposure in fraud, AML/KYC/CDD/EDD, underwriting, commercial banking, treasury, policy governance, or contact center analytics.</li>
<li>Hands-on experience with Microsoft Foundry / Foundry Agent Service, Azure AI Search or equivalent retrieval tooling, M365 Copilot / Copilot Studio, Snowflake, or similar enterprise AI platforms is a plus.</li>
<li>Experience with RAG architectures, vector databases / vector search, document chunking, metadata extraction, OCR/document understanding, and prompt engineering.</li>
<li>Exposure to agentic workflow patterns such as MCP tool integration, skills/plugins, handoffs, subagents, A2A, and evaluation frameworks for task completion and tool-call quality.</li>
<li>Familiarity with LangChain, Semantic Kernel, LangGraph, Microsoft Agent Framework, or similar orchestration libraries/frameworks is a plus.</li>
<li>Awareness of external regulations including SR 11-7, SR 23-4, AI use-case intake / inventory processes, privacy, cybersecurity, and third-party risk expectations in a regulated environment.</li>
<li>Ability to work in a constantly evolving environment.</li>
<li>Must have excellent written and verbal communication skills.</li>
<li>Demonstrate analytical, troubleshooting, and problem-solving skills.</li>
<li>The ability to learn new technologies quickly.</li>
<li>Self-directed individual with strong organizational and communication skills.</li>
<li>Ability to synthesize multiple sources of information with an understanding of the bigger picture needs and operations of the Bank.</li>
<li>Collaborative team player who can find practical solutions in a dynamic work environment.</li>
<li>Ability to handle ambiguity, manage multiple tasks at once, and shift effectively between priorities.</li></ul><br>
<p></p>
<p><b>
Potential Salary: $120,000 - $150,000 annually</b></p>
<p>
This salary range reflects base wages and does not include benefits, bonus, or incentive pay. Salary bands are purposefully wide ranging to encompass the different factors considered in determining where a candidate falls in the range, including but not limited to, seniority, performance, experience, education, and any other legitimate, non-discriminatory factor permitted by law. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed here.</p>
<p>
Metropolitan Commercial Bank provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.</p>
<p>
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.</p></div>

Applied AI Analyst

Bain & Company

<div>
 <p>
  <strong>
   WHAT MAKES US A GREAT PLACE TO WORK
  </strong>
 </p>
 <p>
  We are proud to be consistently recognized as one of the world&rsquo;s best places to work. We are currently the top ranked consulting firm on Glassdoor&rsquo;s Best Places to Work list and have earned the #1 overall spot a record seven times.&nbsp;
 </p>
 <p>
  <br/>
 </p>
 <p>
  Extraordinary teams are at the heart of our business strategy, but these don&rsquo;t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   WHO YOU&rsquo;LL WORK WITH
  </strong>
 </p>
 <p>
  You&rsquo;ll join our Pyxis team within Bain&rsquo;s digital capabilities ecosystem. Pyxis leverages a broad portfolio of 50+ alternative datasets to provide real-time market intelligence and customer insights through a unique business model that enables us to provide our clients with competitive intelligence unrivaled in the market today.
 </p>
 <p>
  We help teams answer core questions about market dynamics, products, customer behavior, and ad spending on Amazon, focusing on delivering our data and insights in the way that best suits client needs. We augment our datasets with best-in-class machine learning and AI, working across data operations, machine learning, and commercial teams to deliver exceptional results.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   WHERE YOU&rsquo;LL FIT WITHIN THE TEAM
  </strong>
 </p>
 <p>
  As a Senior Associate, Pyxis Data Operations, you will support the delivery of high-quality, data-driven insights to clients by owning the technical execution of deliverables and leading cross-functional quality assurance initiatives. This role combines advanced data analysis capabilities with strong project coordination and client-facing communication.
 </p>
 <p>
  You will serve as the internal lead for strategic client relationships, working across data operations, machine learning, and commercial teams to ensure the accuracy, clarity, and impact of insights delivered to clients. You will operate in a continuous improvement environment and contribute to enhancing delivery processes and data quality through automation, documentation, and close collaboration with internal technical teams and external stakeholders.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   WHAT YOU&rsquo;LL DO
  </strong>
 </p>
 <p>
  <strong>
   Technical Execution &amp; Analysis (50%)
  </strong>
 </p>
 <ul>
  <li>
   <p>
    Conduct deep-dive data analysis and root cause investigations on time-series trends, quality gaps, and ML output issues
   </p>
  </li>
  <li>
   <p>
    Partner with ML engineers to review, refine, and optimize tagging models and training data
   </p>
  </li>
  <li>
   <p>
    Execute data cleaning, manipulation, and transformation using SQL, Python, and regex
   </p>
  </li>
  <li>
   <p>
    Leverage foundational machine learning and NLP knowledge to interpret outputs and guide improvements
   </p>
  </li>
 </ul>
 <p>
  <strong>
   Client Delivery &amp; Communication (25%)
  </strong>
 </p>
 <ul>
  <li>
   <p>
    Act as the technical lead for assigned client relationships, managing the execution of deliverables and ensuring data accuracy and relevance
   </p>
  </li>
  <li>
   <p>
    Translate complex analytical outputs into clear, client-facing materials and presentations
   </p>
  </li>
  <li>
   <p>
    Provide guidance to internal delivery teams on framing and communicating insights
   </p>
  </li>
 </ul>
 <p>
  <strong>
   Cross-functional Coordination &amp; Project Management (15%)
  </strong>
 </p>
 <ul>
  <li>
   <p>
    Coordinate with ML, Data Ops, and Commercial teams to orchestrate quality assurance (QA) and quality control (QC) efforts for all client-facing datasets
   </p>
  </li>
  <li>
   <p>
    Track timelines and project dependencies to ensure timely and accurate delivery of data products
   </p>
  </li>
  <li>
   <p>
    Own documentation and continuous improvement efforts related to delivery workflows and QA tools
   </p>
  </li>
 </ul>
 <p>
  <strong>
   Process Improvement &amp; Team Contribution (10%)
  </strong>
 </p>
 <ul>
  <li>
   <p>
    Drive improvements in QA/QC methodologies through automation and tool development
   </p>
  </li>
  <li>
   <p>
    Contribute to internal team upskilling by sharing analytical techniques and coding best practices
   </p>
  </li>
  <li>
   <p>
    Recommend improvements to data delivery processes based on analysis of recurring issues and feedback
   </p>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ABOUT YOU
  </strong>
 </p>
 <p>
  <strong>
   Required Experience
  </strong>
 </p>
 <ul>
  <li>
   <p>
    A Bachelor&rsquo;s or Master&rsquo;s degree
   </p>
  </li>
  <li>
   <p>
    1-3+ years of data analytics or related experience
   </p>
  </li>
  <li>
   <p>
    High proficiency in summarizing technical concepts and translating analytics to business impact
   </p>
  </li>
  <li>
   <p>
    Proficiency in SQL for data analysis including experience with basic regex expressions
   </p>
  </li>
  <li>
   <p>
    Experience with Python for data analysis and Git/Github for codebase management
   </p>
  </li>
  <li>
   <p>
    Familiarity with common machine learning topics; NLP knowledge is a nice-to-have
   </p>
  </li>
  <li>
   <p>
    Experience working in a continuous improvement environment, using data to define processes that continually enhance models and data quality
   </p>
  </li>
  <li>
   <p>
    Experience working with consumer panel and/or market measurement data is a plus
   </p>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Working Model
  </strong>
 </p>
 <p>
  Hybrid: This role follows a hybrid model, requiring in-office presence at least three days per week.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   U.S. Compensation Information
  </strong>
 </p>
 <p>
  Compensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bain&rsquo;s best in class benefits package (details listed below).
 </p>
 <p>
  Some local governments in the United States require a good-faith, reasonable salary range to be included in job postings for open roles. The estimated annualized compensation for this role is as follows:
 </p>
 <ul>
  <li>
   <p>
    In Illinois, the good-faith, reasonable annualized full-time salary range for this role is between
    <strong>
     $70,000 &ndash; $100,000
    </strong>
    per year
   </p>
  </li>
  <li>
   <p>
    Annual discretionary performance bonus
   </p>
  </li>
  <li>
   <p>
    This role may also be eligible for other elements of discretionary compensation
   </p>
  </li>
  <li>
   <p>
    4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date
   </p>
  </li>
 </ul>
 <p>
  Bain &amp; Company's comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection and stability in the areas most important to you and your family.
 </p>
 <ul>
  <li>
   <p>
    Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheck
   </p>
  </li>
  <li>
   <p>
    Generous paid time off, including parental leave, sick leave and paid holidays
   </p>
  </li>
  <li>
   <p>
    Fully vested 401(k) company contribution
   </p>
  </li>
  <li>
   <p>
    Paid Life and Long-Term Disability insurance
   </p>
  </li>
  <li>
   <p>
    Annual fitness reimbursements
   </p>
  </li>
 </ul>
</div>


Data Operations Analyst, Pyxis

TECHNEXIA

<p>We are seeking motivated candidates for the Research Analyst role, specializing in Computer Science, Social Sciences, or Medical/Healthcare, to conduct research, analyze data, and deliver high-quality academic and technical reports.</p><p>Research Analyst &ndash; Computer Science Responsibilities:<br/>-Conduct literature reviews in AI, data science, and technology-related fields<br/>-Analyze datasets using Python, R, or similar tools<br/>-Apply techniques in data analysis, machine learning, or visualization<br/>-Prepare technical reports and documentation<br/>-Requirements: Degree in Computer Science, Data Science, or related field<br/>-Proficiency in Python/R/SPSS</p><p>Research Analyst &ndash; Social Sciences Responsibilities:<br/>- Conduct literature reviews in psychology, sociology, IR, economics, etc.<br/>-Design surveys, questionnaires, and case studies<br/>-Analyze data using SPSS or qualitative methods<br/>-Prepare academically sound reports with proper interpretation<br/>-Requirements: Degree in Social Sciences or related discipline<br/>-Strong knowledge of research methodologies<br/>-Excellent academic writing and critical thinking skills</p><p>Research Analyst &ndash; Medical/Healthcare Responsibilities:<br/>-Conduct literature reviews in healthcare, public health, clinical or biomedical fields<br/>-Assist in study design (cross-sectional, clinical, observational studies)<br/>-Prepare research papers, reports, and literature-based reviews<br/>-Ensure ethical standards and proper referencing (e.g., APA/Vancouver)<br/>-Requirements: Degree in Medicine, Public Health, Biotechnology, Biomedical Sciences, or related field<br/>-Understanding of research design, biostatistics, and healthcare systems<br/>-Basic proficiency in data analysis tools (SPSS/R)<br/>-Strong academic and scientific writing skills</p><p>-Timings : 8:30AM to 4:30PM<br/>-Location : North Nazimabad Karachi.<br/>-Job Type: Full-time<br/>-Work Location: In person</p><p>Pay: Rs50,000.00 - Rs80,000.00 per hour</p><p>Work Location: In person</p>

Research Analyst

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