div class="flex max-w-full flex-col grow">Data Science & Analysis - AI Training. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.
Charlotte, North Carolina24 days ago
This role is responsible for securities and book reference data namely various Security IDs such as ISIN and CUSIP, Security Descriptions, Security Classifications such as High Quality Liquid Assets and Collateral Class, Issuer/Guarantor data, Coupon Rates, Country info, Index/Exchange Listing info, Issue date/Maturity date, etc. Relationship Management – build and maintain relationships, including across Lines of business, technology, project management, and risk/compliance/audit; work closely as a liaison between developer/software engineering teams and Line of Business users.
p>Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, cyber data engineering, and artificial intelligence and machine learning for cyber defense and operations. In this Senior Consultant, Strategy, Growth, and Transformation role, you will work with Deloitte's Cyber Defense & Resilience Security Operations team to support complex cyber data, analytics, and transformation initiatives across leading organizations.
Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, cyber data engineering, and artificial intelligence and machine learning for cyber defense and operations. In this Senior Consultant, Strategy, Growth, and Transformation role, you will work with Deloitte's Cyber Defense & Resilience Security Operations team to support complex cyber data, analytics, and transformation initiatives across leading organizations.
Charlotte, NC30+ days ago
This role requires strong analytical skills and the ability to evaluate upstream data sources, develop technical requirements, and ensure accurate data ingestion into the Cyber Data Warehouse (CyberDW). The ideal candidate will collaborate closely with business stakeholders and data development teams to ensure data integrity, quality, and alignment with operational objectives.
li>Coordinate with and support business line data owners, business data leads, and business risk partners with data governance-related enablement activities to help your business line understand and successfully adopt enterprise data management requirements (e.g., data quality, data dictionaries, data lineage, data stewardship, data classification, data privacy, etc.). Our Total Rewards program includes industry-leading compensation and benefits plus additional incentives that are designed to meet your needs and those of your family so you can get the most out of your career and your life, including: - Time Away: Program starts at 20 paid time off days in addition to 11 paid holidays and 8 hours of volunteer time off yearly (time off days are prorated based on start date and program varies based on full or part-time status and management level).
Charlotte, NC30+ days ago
li>Prior experience analyzing and/or designing relational and non-relational data sets, especially in financial data, commercial real estate data, public registration and regulatory data, structured and semi-structured news data, and the relationships between entities in such datasets. The Moody's Data Governance team operates as a central capability within the Data Estate, focused on ensuring data is fit for purpose, trusted, and aligned to customer use cases across Moody's Analytics.
Charlotte, NC30+ days ago
It requires the ability to understand project needs, gather and analyze business requirements from downstream data mart consumers, collaborate closely with Lines of Business (LOB) teams on data mapping, and translate business requirements into clear, actionable technical specifications for technology teams. General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position.
Charlotte, NC30+ days ago
This role plays a critical hands-on leadership role in advancing the modernization of enterprise data capabilities by designing, proving, and scaling reusable data product accelerators, integration patterns, and enablement frameworks aligned with the Enterprise Data Strategy. The successful candidate will bring deep technical fluency across modern data platforms, analytics tools, and cloud capabilities, and will contribute to advancing the Enterprise Data Strategy through hands‑on engineering, technical leadership, and continuous improvement.
Charlotte, NC30+ days ago
This role sits at the intersection of enterprise data products, AI enablement, and platform innovation, acting as a force multiplier for teams adopting AI‑enabled data products across the Enterprise Data Office and broader organization. Mission | Deliver reusable data product patterns, accelerators, and clear integration pathways that help teams ship data products faster while enabling safer AI adoption and reducing technology sprawl through disciplined tool evaluation and rationalization.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. - Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Respond effectively to the diverse perspectives, needs, and feelings of others.
Charlotte, NC30+ days ago
You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data Visualization, and Oracle Machine Learning. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. - Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering.
Charlotte, North Carolina30+ days ago
p/>- Ensures data is accurate, complete, and fit for performing data analyses through various testing procedures and data controls which help to identify business insights fit for purpose for a particular product set. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
Charlotte, North Carolina29 days ago
ul>Ensures data is accurate, complete, and fit for performing data analyses through various testing procedures and data controls which help to identify business insights fit for purpose for a particular product set. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences.
Charlotte, North Carolina29 days ago
ul>Ensures data is accurate, complete, and fit for performing data analyses through various testing procedures and data controls which help to identify business insights fit for purpose for a particular product set. Working knowledge of Secured Financing (Repurchase agreements (Repo) Reverse Repo, Stock Loan, Stock borrow), global markets funding or Corporate Treasury security financing.
p>An in-depth understanding of the M&A landscape, market experience, and access to our global network of advisors means we have the capabilities to help clients confidently pursue strategic transactions in both domestic and global markets - this includes managing the entire M&A lifecycle. We offer comprehensive end-to-end support and advisory services, covering areas such as mergers and acquisitions (M&A), valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, and sustainability.
Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics. At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials.
Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics. At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials.
JOB REQUIREMENTS: Job requires a Bachelor's Degree in Mathematics, Statistics, Computer Science, Data Science, or a related field AND 6 years of experience in any job title/occupation involving analytics or a related field OR Master's Degree in Mathematics, Statistics, Computer Science, Data Science, or a related field AND 2 years of experience in any job title/occupation involving analytics or a related field OR PhD in Mathematics, Statistics, Computer Science, Data Science, or a related field. Leads execution of projects by participating in formal and informal training, staying updated on techniques, technology, industry trends, best practices, and emerging methodologies, and identifying value gaps and opportunities for process enhancements or efficiencies while integrating requirements with current systems and business processes.
Charlotte, NC30+ days ago
This role is responsible for designing, building, and continuously improving quantitative models, statistical methods, and analytical frameworks used to identify, assess, and prioritize insider risk across employees, contractors, vendors, and non human identities. The role partners closely with Cyber, HR, Legal, Compliance, Anti Fraud, and Enterprise Information Protection to transform complex enterprise data into defensible risk signals, transparent scoring models, and executive level metrics that support investigations, governance, and regulatory scrutiny.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. - Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering.
Charlotte, NC30+ days ago
National Healthcare organization headquartered in Charlotte is seeking a highly analytical and execution-focused HRIS Data & Systems Consultant to support targeted, project-based efforts across our HR technology landscape. This role is designed for a contractor who can independently assess issues, define scope and effort, execute solutions, and deliver clean, documented outcomes without ongoing operational ownership.
Charlotte, NC30+ days ago
Handles moderate level root cause analysis of business data issues and provides technical data guidance on issues. · Leverage AI tools and techniques to streamline daily tasks such as data profiling, anomaly detection, and report generation within the data warehousing lifecycle.
In addition, this role will partner with highly skilled professionals across the business to develop reports, dashboards, and visualizations that enhance performance measurement and drive process improvements. ?????The Data Analyst role will be responsible for collecting, analyzing, and interpreting data to generate actionable insights that support business decision-making.
strong>Job Description:- We are seeking a highly motivated Data Scientist / Machine Learning Engineer to join a team focused on building advanced analytics and Generative AI (Gen AI) solutions for multiple Lines of Business (LOBs) within Corporate & Commercial Investment Banking (CCIB). Key Responsibilities
- The candidate will perform in-depth data analysis and exploration using SQL and statistical techniques to uncover patterns, solve business problems, and support data-driven decision-making.
Charlotte, NC30+ days ago
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. As a Manager, you will supervise, develop, and coach teams while managing client service accounts and driving engagement workstreams, delivering quality deliverables that meet client expectations.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Craft and convey clear, impactful and engaging messages that tell a holistic story.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. - Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. - Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics.
p>The Senior Data Scientist is a key role within the Data Science team that involves leading complex data analysis and model development projects, leveraging a deep understanding of data science and machine learning workflows. The base pay range for this position in Seattle/New York/Colorado/California is $130,000 to $170,000; however, base pay offered may vary depending on internal factors, job-related knowledge, and experience..
The Lead Data Analyst reviews and approves complex analytics and statistical modeling on large data sets that identify current market sector trends and customer patterns. Oversees data mining models, statistical reporting and data analysis methodologies to identify key customer segments and to simulate impact of potential business decisions.
Charlotte, NC30+ days ago
This role will focus on data analysis, reporting, dashboard development, and cloud-based data solutions supporting critical business and operational functions. Candidates should be comfortable working with large datasets, troubleshooting data issues, and partnering with both technical and business stakeholders.
GENERAL PURPOSE: The Manager of Data & Analytics will be responsible for elevating the analytical capabilities within the Ross Supply Chain and leading sophisticated analysis in support of strategic projects and senior executives. ESSENTIAL FUNCTIONS: Perform practical, action oriented, & comprehensive data analysis to diagnose business problems, optimize business approaches and measure impact - supporting multiple functions.
This includes crafting effective prompts using Gemini or similar generative AI models to accelerate tasks such as data exploration, feature generation, analysis, and summarization of findings. Key Responsibilities: The candidate will perform in-depth data analysis and exploration using SQL and statistical techniques to uncover patterns, solve business problems, and support data-driven decision-making.
p>• Design and implement thorough data architecture strategies • Lead large-scale projects and innovate processes • Maintain operational excellence and client interactions • Develop and document data models and data flow diagrams • Adhere to data governance and security policies • Collaborate with business stakeholders to translate data requirements into technical solutions • Drive project success through strategic advising and problem-solving • Foster a diverse and inclusive team environment. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
li>Managing development teams in building healthcare AI and GenAI solutions, including analytical modeling, prompt engineering, Python-based development, testing, communication of results to clinical and operational stakeholders, front-end and back-end integration, and iterative use case development with health system clients;
Documenting and analyzing healthcare business processes - across clinical operations, and population health programs - to identify AI and GenAI opportunities, gather requirements, define initial hypotheses, and develop solution approaches tailored to health system workflows;
Collaborating with health system client teams - including clinical informatics, population health, and IT leaders - to understand their business and clinical problems and select the appropriate models, LLMs, and approaches for AI/GenAI use cases;
Designing and solutioning AI/GenAI architectures for health system clients, including RAG-based clinical knowledge retrieval systems, agentic AI workflows for care management and revenue cycle automation, and custom LLM application builds with appropriate PHI safeguards;
Managing teams to process healthcare unstructured and structured data - including clinical notes, discharge summaries, claims records, EHR data, and ADT feeds - for use as LLM context, including embedding of large clinical text corpora, generative SQL query development, and building connectors to EHR back-end databases;
Managing daily operations of a global healthcare data science team on client engagements, reviewing developed models, providing feedback, and assisting in analysis of clinical and operational outcomes;
Directing data engineers and other data scientists to deliver efficient, HIPAA-compliant solutions that meet health system client requirements for clinical, financial, and operational AI use cases;
Leading and contributing to development of proof of concepts, pilots, and production use cases for health system clients - spanning clinical decision support, prior authorization automation, patient risk scoring, workforce optimization, and throughput modeling - while working in cross-functional teams;
Facilitating and conducting executive-level presentations to health system leadership showcasing GenAI and ML solution capabilities, use case development progress, model performance, and recommended next steps;
Structuring, writing, communicating, and facilitating client presentations that translate complex AI and ML concepts into clear clinical and business value narratives for health system audiences; and,
Managing associates and senior associates through coaching, providing feedback, and guiding work performance, with an emphasis on developing healthcare domain knowledge alongside technical AI and ML capabilities. You will architect and build production-grade RAG pipelines, MCP connections, agentic AI workflows, and MLOps frameworks, managing daily operations across global delivery teams while engaging health system leaders at the executive level to ensure measurable clinical and operational impact.
p>Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.
Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions and framework design, and consumer product innovation. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.
Charlotte, NC30+ days ago
p>Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.
Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. The role involves close collaboration with cross-functional teams, supporting Financial Intelligence Units (FIU) through targeted data analysis, and contributing to strategic initiatives that strengthen our AML efforts across the organization.
Charlotte, NC30+ days ago
The role owns requirements integrity, data quality, stakeholder alignment, and SDLC execution , ensuring Enterprise Search enhancements are accurate, governed, testable, and audit ready. This senior contractor serves as the primary business and data lead for the Enterprise Search platform, operating alongside and in support of the Product Owner.
Charlotte, North Carolina10 days ago
li>Reviews work products to ensure adequate quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment. The Data Initiative & Strategy (DIS) team, within Enterprise Credit Analytics & Transformation Strategy (ECATS), is responsible for delivering high-quality, fit-for-use data and information that supports Global Banking and Enterprise Credit objectives.
Charlotte, NC30+ days ago
They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. The position plays a central role in shaping, coordinating, and delivering Enterprise Data Strategy updates to the Operating Committee (OC), ensuring senior leaders have clear, timely, and actionable insight into progress, risks, dependencies, and areas requiring executive engagement.
Charlotte, NC30+ days ago
p>What you have: - Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. You will identify and implement AI solutions whether cutting-edge industry advancements, existing solutions from other USAA lines of business, or tools that connect and integrate various platforms and IT systems to boost productivity, automate processes, reduce costs, and create new revenue streams within the financial services context.
Summary: The Global Payments & Liquidity Analytics (GPLA) Infrastructure team provides critical infrastructure support for GPLA, including strategic analytics, banker and customer communications analytics, and management reporting. This role requires a strong understanding of Global Payments and Liquidity business processes, data, and systems in order to perform effective business and data analysis and to drive successful data infrastructure initiatives.
Job Title: Senior Data Analyst with strong SQL and banking/capital marketsLocation: Charlotte, NC / Plano, TXDuration: Contract - 12 monthsPay Range: $68.25/hr (W2)Job ID: 374708About BCforwardBCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. The ideal candidate will have strong experience in SQL, Python or Java/.NET, data analysis, and capital markets risk domains and a proven ability to deliver techno-functional solutions for data ingestion, rules execution, and analytics in a greenfield environment.