data engineer

data analyst

senior data engineer

senior data scientist

senior data analyst

data scientist

Stott and May

<div>
 <p>
  Senior Data Scientist
 </p>
 <p>
  <strong>
   Manufacturing | Azure, Databricks &amp; Microsoft Fabric
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our manufacturing client is looking for a
  <strong>
   Senior Data Scientist
  </strong>
  to help build data-driven solutions that improve operations and support business decision-making. You'll work with cross-functional teams to develop predictive models, analyze manufacturing data, and deliver insights using a modern Microsoft technology stack.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities
 </p>
 <ul>
  <li>
   Develop machine learning models and analytical solutions to solve business problems.
  </li>
  <li>
   Analyze manufacturing, operational, and supply chain data to identify trends and opportunities.
  </li>
  <li>
   Build predictive models for forecasting, optimization, and operational reporting.
  </li>
  <li>
   Work with business stakeholders to understand requirements and translate them into data science solutions.
  </li>
  <li>
   Collaborate with Data Engineers to prepare and transform data for modeling.
  </li>
  <li>
   Present findings and recommendations to technical and non-technical audiences.
  </li>
  <li>
   Support the deployment and ongoing improvement of machine learning models.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Required Skills
 </p>
 <ul>
  <li>
   5+ years of experience as a Data Scientist.
  </li>
  <li>
   Strong Python and SQL skills.
  </li>
  <li>
   Experience building and deploying machine learning models.
  </li>
  <li>
   Hands-on experience with
   <strong>
    Azure Databricks
   </strong>
   .
  </li>
  <li>
   Experience with
   <strong>
    Microsoft Fabric
   </strong>
   or other Microsoft analytics tools.
  </li>
  <li>
   Experience working with Azure cloud services.
  </li>
  <li>
   Strong understanding of statistics, predictive modeling, and data analysis.
  </li>
  <li>
   Excellent communication and stakeholder management skills.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Fully Remote
  </strong>
 </p>
 <p>
  <strong>
   12-month contract with possible extension
  </strong>
 </p>
 <p>
  <strong>
   40hr/week
  </strong>
 </p>
 <p>
  <strong>
   95-125/hourly W2 or LLC
  </strong>
 </p>
 <p>
  (There are
  <strong>
   no
  </strong>
  C2C options for this role)
 </p>
 <p>
  <br/>
 </p>
</div>


Senior Data Scientist

OpenAI

<div>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 OpenAI&rsquo;s Safety teams work to ensure our products are safe, trusted, and resilient as frontier AI systems scale globally. We tackle some of the company&rsquo;s most important challenges across understanding and preventing misuse and misalignment, intercepting fraud and abuse, and protecting vulnerable users.
 <br/>
 <br/>
 We Are Hiring Data Scientists To Help Build The Analytical Foundations That Allow OpenAI To Deploy Increasingly Capable AI Responsibly. We Are Hiring Data Scientists Across Several Teams That Contribute To Safety In Different Ways, Including
 <br/>
 <br/>
 <ul>
  <li>
   Safety Systems
  </li>
  <li>
   Integrity
  </li>
  <li>
   Product Policy
   <br/>
   <br/>
  </li>
 </ul>
 This is a high-impact role operating at the intersection of product, safety, policy, and research.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As a Data Scientist, Safety, you will help solve complex and ambiguous problems where rigorous analysis directly informs critical decisions.
 <br/>
 <br/>
 Depending on your background and team alignment, you may work on areas such as:
 <br/>
 <br/>
 <ul>
  <li>
   Measure harmful or abusive behavior across OpenAI&rsquo;s products
  </li>
  <li>
   Detect fraud, manipulation, coordinated misuse
  </li>
  <li>
   Evaluate and improve safety classifiers, rules systems, mitigation systems, and human review workflows
  </li>
  <li>
   Design experiments and causal analyses to understand product, policy, and mitigation impacts
  </li>
  <li>
   Build prevalence estimators, dashboards, monitoring systems, and executive decision frameworks
  </li>
  <li>
   Diagnose gaps in safety and integrity systems using behavioral and product data, and help quantify and navigate false positive / false negative tradeoffs
  </li>
  <li>
   Translate ambiguous safety risks into measurable problems and evidence-based recommendations
  </li>
  <li>
   Partner with Product, Engineering, Policy, Research, and Operations teams to improve safety outcomes
  </li>
  <li>
   Build zero-to-one analytical systems in rapidly evolving domains
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ideal Candidate
  <br/>
  <br/>
 </strong>
 We&rsquo;re looking for strong Data Scientists who thrive in ambiguous, high-leverage environments.
 <br/>
 <br/>
 <strong>
  You May Be a Fit If You Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong statistical reasoning and analytical judgment
  </li>
  <li>
   Experience with experimentation, causal inference, or observational analysis
  </li>
  <li>
   Strong SQL and Python skills
  </li>
  <li>
   Experience working with messy, incomplete, or noisy datasets
  </li>
  <li>
   Ability to structure open-ended business or risk problems
  </li>
  <li>
   Excellent communication with technical and non-technical stakeholders
  </li>
  <li>
   High ownership and comfort operating independently
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Helpful Backgrounds Include
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Trust &amp; Safety / Integrity
  </li>
  <li>
   Fraud &amp; abuse
  </li>
  <li>
   Security analytics
  </li>
  <li>
   AI/ML model measurement and evaluation
  </li>
  <li>
   Alignment and AI safety research
  </li>
  <li>
   Biosecurity, synthetic biology, infectious diseases, or computational biology
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why This Role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work on mission-critical problems with world-level impact
  </li>
  <li>
   Help shape how frontier AI systems are deployed safely
  </li>
  <li>
   Operate with unusual ownership and visibility
  </li>
  <li>
   Solve novel problems where there are no existing playbooks
  </li>
  <li>
   Join highly collaborative teams working across OpenAI
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Location
  <br/>
  <br/>
 </strong>
 San Francisco or New York depending on team alignment and business need.
 <br/>
 <br/>
 <strong>
  Compensation Range
 </strong>
 : $230K - $325K USD
 <br/>
 <br/>
 <strong>
  About OpenAI
  <br/>
  <br/>
 </strong>
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 <br/>
 <br/>
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 <br/>
 <br/>
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 <br/>
 <br/>
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 <br/>
 <br/>
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 <br/>
 <br/>
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 <br/>
 <br/>
 OpenAI Global Applicant Privacy Policy
 <br/>
 <br/>
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 <br/>
 <br/>
 Compensation Range: $230K - $325K
 <br/>
 <br/>
</div>


Data Scientist, Safety

Data Scientist, Analytics (Ranking, AI)

Intercontinental Exchange

<div>Overview:
<p><b>
Job Purpose</b></p><p>
We are looking for individuals with a strong background in statistical modelling and financial engineering to join our research and rapid prototyping team at Intercontinental Exchange. We require candidates to have experience building, enhancing or supporting the pricing of fixed income securities with a strong interest in leveraging AI driven tooling on the job. This role requires individuals to enhance and expand proprietary algorithms designed to bring transparency and standardization to the fixed income market. You will join a fast-paced team of quants and data scientists leveraging state-of-the-art tools tasked with improving precision and scale across millions of bonds. You will also be asked to research new techniques enabled by the usage of AI to scale our business. The role will require individuals to work with significantly large data sets spanning years of historical data.</p><p></p><p><b><br>
Responsibilities</b></p><ul><li>
Learn, research, implement and maintain pricing models across fixed income asset classes</li><li>
Work closely with product, engineering and evaluation teams to procure, analyze and validate data sources</li><li>
Investigating Ad hoc issues and debugging pricing applications</li></ul><p></p><p><b><br>
Knowledge and Experience</b></p><ul><li>
Master's or higher in Computer Science, Math, Physics, Engineering, or related quantitative field, PhD preferred</li><li>
3+ years of experience doing quantitative analysis</li><li>
Hands on experience utilizing Python, C++, SQL, Shell Scripting, R</li><li>
Experience using AI &amp; ML techniques to solve complex multi-dimensional problems preferred</li><li>
An understanding of fixed income instruments</li><li>
Strong communications skills</li></ul><p></p><div><p><b><br>
New York Base Salary Range</b></p></div><div><p>
The expected base salary for this role, if located in New York, is between $130,000 - 190,000 USD. The base salary range does not include Intercontinental Exchange&rsquo;s incentive compensation. While we provide this range as general guidance, at ICE we compensate employees based on the skillset and experience of the individual. Regular full-time ICE employees are eligible for a suite of competitive employee benefits, including healthcare coverage (medical, dental and vision), a 401(k) plan, life insurance, time off, and paid leave for qualifying circumstances.</p></div>
-: Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.</div>

Lead Data Scientist

Capgemini

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
</div><div><p>New York , NY</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Your Role</b></h2>
</div><div><div>Principal Architects are expected to develop highly available, fault tolerant architectures following industry standards and best practices. They are expected to lead other architects and develop standards and best practices across the architecture landscape. This includes internal business applications, new technology initiatives, and consumer-facing systems. The successful candidate will work closely with clients (users) to complete the analysis and design of systems and follow the implementation to completion.
 <br>
<br>
<b>**RESPONSIBILITIES**</b>
<br>
<br>
<ul><li>Applies extensive knowledge of theories, practices and design matters.
</li></ul><br>
<ul><li>Works on issues that impact program success or addresses future concepts and products. Implementation of solutions requires a longer-term view which impacts strategic goals and objectives spanning several functions.
</li></ul><br>
<ul><li>Exercise a wide latitude in determining objectives and approaches to critical assignments.
</li></ul><br>
<ul><li>Knowledge with broadcast production or video content management systems
</li></ul><br>
<ul><li>Knowledge of media management strategies and distribution workflows
</li></ul><br>
<ul><li>Lead and contributes to development of company objectives across and principles to achieve goals
</li></ul><br>
<ul><li>Deep understanding of AWS/Azure services and products
</li></ul><br>
<ul><li>Provide feasibility reviews for potential new projects, including development effort estimates
</li></ul><br>
<ul><li>Strong understanding of the C4 model and traditional design artifacts
</li></ul><br>
<ul><li>Work with Engineering and Quality Assurance to identify and address reported issues quickly and effectively
</li></ul><br>
<ul><li>Build and maintain scalable backend microservices using Python and FastAPI, deployed as varying serverless infrastructure.
</li></ul><br>
<ul><li>Develop tools, constraints (guardrails), and deterministic functions that our AI agents use to edit visual assets. Integrate models on owned infrastructure for inference and integrate third-party AI endpoints.
</li></ul><br>
<ul><li>Implement complex distributed workflows for high-volume job orchestration and dispatching (e.g. EventBridge, queues, DynamoDB streams).
</li></ul><br>
<ul><li>Terraform contributions to provision and mange cloud resources safely and effectively across multiple environments.
</li></ul><br>
<ul><li>Contribute to our modern backend orchestration or modern web frontends.
</li></ul><br>
<ul><li>Write robust unit and end-to-end tests to ensure the stability of both standard APIs and AI agent outputs, ensuring smooth deployments.<br>
</li></ul><br>
<br>
<br>
</div></div></div><div><div><h2 class="jobSectionHeader"><b>Required Skills and Expereince</b></h2><br>
</div><div><div><br>
<br>
<ul><li>7+ years of professional software engineering experience with a strong grasp of the Software Development Life Cycle and version control.
</li></ul><br>
<ul><li>Strong proficiency in modern Python. Hands-on experience deploying and operating services in AWS, Azure, and/or GCP.
</li></ul><br>
<ul><li>Practical experience integrating LLMs into software applications. You must understand how to interact with inferencing endpoints, manage context windows, and parse AI-generated content.
</li></ul><br>
<ul><li>Applied experience with Terraform or similar IAC tools to manage cloud resources.
</li></ul><br>
<ul><li>A strong commitment to writing clean, maintainable, and well-tested code. Experience working in an agile environment with rigorous code-review standards.
</li></ul><br>
<ul><li>Expert experience, understanding and knowledge of digital and broadcast production operations and workflows
</li></ul><br>
<ul><li>Strong knowledge of AI industry trends and best practices
</li></ul><br>
<ul><li>Strong experience with the C4 model and other traditional design artifacts
</li></ul><br>
<ul><li>Experience working in an Agile environment<br>
</li></ul><br>
<br>
<ul><li>Familiarity with continuous integration practices
</li></ul><br>
<ul><li>BS in CS, EE or equivalent experience required'
</li></ul></div></div></div></div><p>The base compensation range for this role in the posted location is: $120,000- $180,000</p>
<p>Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p>
<p>The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p>
<p>These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p>
<p>It is not typical for candidates to be hired at or near the top of the posted compensation range.</p>
<p>In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p>
<p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:</p>
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul><p><b>Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p>
<p><b>Disclaimers</b></p>
<p>Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p>
<p>This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p>
<p>Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p>
<p>Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law</p>
<p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div></div></div>

<p></p><div><div><div><div><div><div>Job ID</div>
<div>747553WD</div>
</div><div><div>Category</div>
<div>Data and Analytics Engineering</div>
</div><div><div>Time Type</div>
<div>Full time</div>
</div><div><div>Specialty/Competency</div>
<div>Data Science</div>
</div><div><div>Level</div>
<div>Director</div>
</div><div><div>Travel Requirements</div>
<div>Up to 80%</div>
</div><div><div>Locations</div>
<div>New York, Raleigh, Charlotte, Chicago, Cincinnati, Cleveland, Columbia, Columbus, Dallas, Richmond, Baltimore, Rosemont, Boston, Sacramento, St Louis, Salt Lake City, San Antonio, San Diego, San Francisco, Silicon Valley, Seattle, Spartanburg, Albany, Stamford, Tampa, Toledo, Atlanta, Tulsa, Austin, Washington D.C., Denver, Des Moines, Detroit, Buffalo, Florham Park, Fort Worth, Greensboro, Hartford, Houston, Indianapolis, Grand Rapids, Irvine, Jacksonville, Kansas City, Las Vegas, Little Rock, Los Angeles, Louisville, Birmingham, Fayetteville, Melville, Miami, Milwaukee, Minneapolis, Nashville, New Orleans, Oklahoma City, Philadelphia, Phoenix, Pittsburgh, Portland</div><br>
</div></div></div><div><div><br>
<div>The Opportunity
<br>
<br>
As an AI &amp; GenAI Data Scientist-Director, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights that drive business growth. Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will set the strategic direction and lead business development efforts, making impactful decisions and overseeing multiple projects while maintaining executive-level client relations. You will inspire others by translating vision into action, shaping client engagements, and mentoring future leaders.
<br>
<br>
In this role, you will be a guardian of PwC's reputation, understanding that quality, integrity, inclusion, and a commercial mindset are foundational to success. You will create a healthy working environment, maximizing client satisfaction and cultivating potential in others. By actively collaborating across the PwC Network, you will leverage collective strengths to identify market gaps and convert opportunities into success for the firm. Your work will involve designing AI systems, data wrangling, and software implementation to enable scalable AI models, promoting technological advances where people and technology thrive together.
<br>
<br>
Responsibilities
<br>
<br>
<ul><li>Leading the design and development of AI and Machine Learning solutions to transform raw data into actionable insights
</li><li>Overseeing the implementation of data infrastructure and integration to support scalable AI systems
</li><li>Driving business growth by identifying market opportunities and converting them into successful client engagements
</li><li>Mentoring and guiding teams in the application of advanced data analytics and AI techniques
</li><li>Promoting technological advancements and fostering an environment where people and technology thrive together
</li><li>Collaborating with executive-level clients to shape strategic directions and deliver impactful solutions
</li><li>Utilizing programming languages such as Python and C++ to develop and deploy AI models
</li><li>Managing complex data analysis and confirming data quality and integrity within analytics frameworks
</li><li>Encouraging creativity and innovation in problem-solving and solution development
</li><li>Building and maintaining relationships with stakeholders to enhance client satisfaction and project success
</li></ul><br>
What You Must Have
<br>
<br>
<ul><li>At least a Bachelor's degree
</li><li>At least 12 years of experience
</li></ul><br>
What Sets You Apart
<br>
<br>
<ul><li>Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
</li><li>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
</li><li>Demonstrating proficiency in AI implementation and machine learning libraries
</li><li>Utilizing Python and C++ for complex data analysis and modeling
</li><li>Leading AI-driven automation projects with strategic mindset and innovation
</li><li>Promoting technological advances in data infrastructure and integration
</li><li>Cultivating potential in others through coaching and feedback</li></ul></div><br>
<br>
<p>The salary range for this position is: $155,000 - $410,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance</p>
<p></p><p>As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.</p>
<p></p><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.</p>
<p></p><p>Learn more about how we work: https://pwc.to/how-we-work</p>
<p></p><p>For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.</p>
<p></p><p>Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines</p></div></div></div></div><p></p>

AI & GenAI Data Scientist-Director

<div><b>Company Description</b><p><br>
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.</p><p>
Sia&rsquo;s <b>AI &amp; Data Business Unit</b> is the powerhouse of our firm&rsquo;s innovation&mdash;merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&amp;D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia&rsquo;s AI &amp; Data team, you&rsquo;ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting.</p><b><br>
Job Description</b><p><br>
To support its growth, Sia is recruiting a Data Scientist Consultant with a strong interest in Risk, Compliance and Regulatory topics and challenges.</p><p>
Reporting to Sia's Data Science teams, your role is to support our clients' operational teams and compliance departments in defining their data needs, analyzing their data, deploying data science algorithms, and AI agents and providing strategic decision support.</p><p>
These engagements require the implementation of complex analyses to support our clients, notably in:</p><ul><li>
Forward-Deployed Engineering</li><li>
Generative AI, Machine Learning &amp; Statistics</li><li>
Data Analysis for strategic support</li><li>
Data Engineering &amp; DevOps</li><li>
Data Transformation &amp; Acculturation</li></ul><p>
A few examples of engagements:</p><ul><li><p>
Predictive compliance risk monitoring: Building automated data pipelines and dashboards to track operational metrics and forecast the future health of compliance workstreams, enabling proactive risk identification and mitigation.</p></li><li><p>
AI-powered regulatory intelligence: Designing and deploying a GenAI-driven system that monitors regulatory change in real time, structures obligations, maps them automatically to internal policies and controls, scores compliance gaps, and orchestrates remediation workflows - all with a full source-of-truth audit trail for compliance, risk, and legal teams.</p></li><li><p>
Analytics/ML models for AML compliance: Built and refined ML models to automate due diligence and ID verification workflows, reducing manual review time. Managed third-party data integration and collaborated with Legal and Engineering to ensure compliant deployment.</p></li></ul><p>
As part of the firm's internal activities, your contribution will focus on the following areas:</p><ul><li>
Developing or strengthening our offerings through training, working groups, and internal/external materials.</li><li>
Our publication strategy (sector blogs, studies, press coverage). \</li><li>
Business development, by contributing to the definition of client needs and participating in sales activities.</li></ul><p><b>
Key Responsibilities:</b></p><ul><li>
Partner with our clients' leadership teams, engineers, program managers, and data analysts to understand data needs.</li><li>
Identify, acquire, process, and explore relevant data sources.</li><li>
Analyze large amounts of structured and unstructured information to discover trends and patterns.</li><li>
Use your data analytics and data science expertise to derive valuable insights from datasets, and build predictive models and machine learning algorithms.</li><li>
Design, build, fine-tune, and deploy LLM-based systems using models such as GPT, Claude, Gemini, Llama, and Mistral.</li><li>
Develop GenAI-powered applications (self-managed and API-based) that meet real business needs and comply with applicable regulations (GDPR, EU AI Act, model licenses).</li><li>
Design and optimize prompting strategies (few-shot, Chain/Tree-of-Thought, ReAct, self-reflection, guardrails) to improve reliability and control.</li><li>
Communicate at scale through multiple mediums: presentations, dashboards, datasets, bots, and more.</li><li>
Propose solutions and strategies to business challenges.</li><li>
Collaborate with engineering and product development teams.</li><li>
Work across a broad range of partners and projects, delivering models, algorithms, datasets, measurements, services, tools, and processes.</li></ul><br>
<b>
Qualifications</b><br>
<ul><li>
Master's degree or Engineering degree (or equivalent) in Computer Science, Engineering, Data Science, or a related quantitative field.</li><li>
2+ years of experience as a Data Scientist or Data Analyst.</li><li>
Strong programming skills, particularly Python and SQL.</li><li>
Proficiency in at least one major GenAI application framework (LangChain, LlamaIndex, etc.).</li><li>
Experience with cloud platforms (AWS, Azure, or GCP).</li><li>
Knowledge of both proprietary and open-source model ecosystems (OpenAI, Anthropic, Mistral AI, Hugging Face, etc.).</li><li>
Excellent communication skills, with the ability to explain complex technical concepts simply.</li></ul><p><b>
Preferred technical experience:</b></p><ul><li>
Experience building agentic AI systems.</li><li>
Good understanding of machine learning techniques.</li><li>
Good understanding of statistical techniques and concepts.</li><li>
Experience with data visualization tools.</li><li>
Experience developing conversational AI systems / chatbots.</li><li>
Understanding of or experience with protocols and standards for connecting LLMs to external tools and databases, such as the Model Context Protocol (MCP).</li><li>
Experience deploying models at scale in production environments.</li></ul><p><b>
Preferred industry sector experiences</b></p><ul><li>
Regulatory Obligations Management: Analyze and document legal/regulatory requirements to maintain and update the client's RCM obligations library</li><li>
Control Design &amp; Implementation: Design and implement operational controls and compliance frameworks to ensure regulatory adherence</li><li>
Risk Assessment &amp; Testing: Lead RCSAs, thematic reviews, and control testing to identify compliance and operational gaps</li><li>
Regulatory Analysis &amp; Strategy: Interpret emerging regulatory trends and enforcement actions to inform compliance strategy</li><li>
Compliance Best Practices: Develop and maintain compliance best practices</li><li>
Regulatory Interpretation &amp; Controls Mapping: Interpret laws and regulations to assess applicability and map obligations to controls</li><li>
Risk &amp; Compliance Transformation: Support transformation engagements across first-line (controls design/testing) and second-line (risk, compliance) functions</li></ul><br>
<b>
Additional Information</b><p><b><br>
Compensation &amp; Benefits</b></p><p>
Sia invests in total rewards that support how our people work, live, and grow.</p><p><b>
Compensation</b></p><ul><li>
Base Salary: $95,000-116,000. Actual compensation within this range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by applicable law.</li><li>
Annual Performance Bonus</li></ul><p><b>
Benefits</b></p><ul><li>
Medical, dental, and vision; company-paid life and AD&amp;D; voluntary supplemental insurance and EAP</li><li>
401(k) with company match and immediate vesting; HSA and FSA options</li><li>
College savings and student loan repayment programs</li><li>
Paid parental leave; generous PTO, nine company holidays, and one floating holiday</li><li>
Cell phone stipend; well-being and professional development programs</li></ul><p>
Benefits are subject to applicable plan terms and eligibility requirements.</p><p><b>
Workplace</b><br>
Sia values in-person collaboration. When serving clients, consultants may be required to work onsite at a client location based on engagement needs. Between client engagements, consultants are expected to work from a Sia office or approved coworking location at least three days per week. Candidates should reside within a reasonable commuting distance of a Sia office or approved coworking location. Sia maintains offices and coworking arrangements across multiple U.S. markets, including New York City, Charlotte, Greater Seattle, San Francisco Greater Bay Area, Los Angeles, Houston, Atlanta, Baltimore, Chicago, Washington D.C.</p><p><b>
Work Authorization</b></p><p>
Applicants must be legally authorized to work in the United States at the time of application and throughout their employment. This position is not eligible for employment visa sponsorship now or in the future.</p><p>
Our Commitment</p><p>
At Sia, we believe in fostering a diverse, equitable, and inclusive culture where our employees and partners are valued and thrive in a sense of belonging.</p><div></div><p>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</p></div>

Consultant – Compliance Data Science & AI

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