ai data scientist

Quantum Talent Group

<div>
 
 Data Scientist &ndash; RAG / Generative AI
 
 
 
 
 
 ****📍 Saudi Arabia (based in KSA or open to relocation) ****
 
 
 
 
 
 We are hiring experienced Data Scientists with strong expertise in Retrieval-Augmented Generation (RAG) and Generative AI to join a leading partner delivering enterprise AI projects across Saudi.
 
 
 
 
 
 You will work across multiple client engagements, building and deploying scalable GenAI and LLM-powered solutions for different industries.
 
 
 
 
 
 Requirements
 
 <ul>
 <li>
 Strong hands-on RAG experience
 </li>
 <li>
 Experience with LLMs and Generative AI
 </li>
 <li>
 Python expertise
 </li>
 <li>
 Experience with LangChain, LlamaIndex, OpenAI/Azure OpenAI
 </li>
 <li>
 Knowledge of vector databases (FAISS, Pinecone, Azure AI Search, etc.)
 </li>
 <li>
 Experience deploying AI solutions in cloud environments
 </li>
 <li>
 Strong communication and stakeholder management skills
 </li>
 </ul>
 
 
 
 
 Nice to Have
 
 <ul>
 <li>
 Consulting/client-facing experience
 </li>
 <li>
 GCC project exposure
 </li>
 <li>
 MLOps or AI platform engineering experience
 </li>
 </ul>
 
 
 
 
 Please apply on this posting or drop me a message for more details
 
</div>

AI Data Scientist

American Modern Insurance Group

<div><div>Location Amelia, United States Job type Full-Time Work mode Remote Job level Professional Job ID 12724 Company American Modern Insurance Group Employment type Regular Area of expertise Data, BI &amp; Analytics</div></div>
 <div>All locations Amelia, United States; Akron, United States; Carmel, United States; Cincinnati, United States; Cleveland, United States; Columbia, United States; Dayton, United States; Durham, United States; Indianapolis, United States;
<div><div><div>Drive the future of AI‑powered decision‑making by leading sophisticated machine learning and GenAI solutions that shape strategy and outcomes.</div></div>
American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty insurance leader that delivers products and services for residential property &ndash; such as manufactured homes and specialty dwellings &ndash; and the recreational market, including boats, personal watercraft, classic cars, and more. We provide specialty product solutions that cover what the competition often can&rsquo;t. We write admitted products in all 50 states and have a premium volume of $2.2 billion.
Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of Munich Re&rsquo;s Global Specialty Insurance division. Our employees receive boundless opportunity to grow their careers and make a difference every day - all in a flexible environment that helps them succeed both at work and at home.
Join our innovative Predictive Analytics team as a Principal Data Scientist and play a key role in shaping and executing our Artificial Intelligence and Machine Learning (AI/ML) strategy. As a member of the AI/ML Predictive Analytics team, you will be responsible for driving the development and deployment of cutting-edge AI/ML models that drive business growth, inform strategic initiatives, and revolutionize business decision-making across domains in the organization. You will have the opportunity to make a significant impact on our organization, develop and implement new analytics methodologies and best practices, and mentor and guide junior team members. We are looking for a data scientist with proven expertise in executing AI/ML strategy, developing and deploying complex models, and driving business outcomes through data-driven decision-making.
Purpose:
Use data and statistical analysis to drive business decisions and target improved results across various functional areas.
Roles &amp; Responsibilities:<ul><li>
Execute AI/ML strategy, with the ability to contribute to strategy development as well.</li><li>
Develop, deploy, monitor, and maintain predictive models using Python, with a focus on AI and machine learning techniques to drive business outcomes.</li><li>
Utilize expertise in Large Language Models (LLMs) to develop innovative solutions for natural language processing and text analysis tasks.</li><li>
Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.</li><li>
Work closely with data engineering teams to design and implement data pipelines and architectures.</li><li>
Prepare and complete predictive analytics analysis and modeling with general guidance on very complex projects.</li><li>
Participate in the development of predictive analytics and modeling presentations and present results/topics to stakeholders and management as requested.</li><li>
Concentrate on loosely defined problems which require application of creative approaches. Contribute to projects that yield actionable insights the business can use to increase customer satisfaction, policy growth, retention, and profitability.</li><li>
Complete required data preparation, including data input with guidance. Identify data anomalies and seek guidance on necessary adjustments.</li><li>
Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques.</li><li>
Document and communicate assumptions, results, and alternatives to team members and internal customers with guidance.</li><li>
Create and maintain modeling best practices and new techniques in coordination with internal and external business partners.</li><li>
Explain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand stakeholders&rsquo; requests and hidden issues and explain possible solutions in their language.</li><li>
Schedule and prioritize workload demands. Maintain very good organization skills. Complete technical peer reviews as needed.</li><li>
Maintain strong interpersonal skills - listen deeply, ask correct questions, take notes, complete professional oral and written business communications (including email communications), presentations, and build business relationships in order to better understand insurance company processes and functions. Established relationships with multiple areas of interaction.</li></ul>
Required Technical Skills<ul><li>
Expert-level proficiency in Python, with experience in popular libraries such as NumPy, pandas, and scikit-learn.</li><li>
Deep understanding of and experience building AI and machine learning models, as well as experience deploying GenAI solutions.</li><li>
Experience with big data platforms is highly desirable.</li><li>
Familiarity with cloud-based data platforms, such as AWS or Azure, is a plus.</li><li>
Strong understanding of data structures, algorithms, and software design patterns.</li><li>
Experience working in an agile team environment, with familiarity with Scrum or Kanban methodologies.</li><li>
Strong commitment to testing, validation, and continuous improvement of models and workflows.</li><li>
Experience with MLflow, including model management, versioning, and deployment.</li></ul>
Skills / Knowledge / Experience:<ul><li>
Develop and project manage modeling projects and statistical analyses.</li><li>
Effectively communicate results to business partners and help drive business decisions.</li><li>
Participate in creation and discussion of best practices and propose new techniques.</li><li>
Mentor junior team members.</li><li>
Six (6) or more years of data science/predictive analytics experience in insurance or Eight (8+) or more years predictive modeling experience in another industry.</li><li>
Please note, this is not a managerial role but has the potential to develop into one over time.</li></ul>
Education, Certifications &amp; Designations:<ul><li>
Master&rsquo;s degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and Operation Research double major</li></ul>
We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits:<ul><li>
Two options for your health insurance plan (PPO or High Deductible)</li><li>
Prescription drug coverage (included in your health insurance plan)</li><li>
Vision and dental insurance plans</li><li>
Short and Long Term Disability coverage</li><li>
Supplemental Life and AD&amp;D plans that you can purchase for yourself and dependents (includes spouse/domestic partner and children)</li><li>
Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity)</li></ul>
In addition to the above insurance offerings, our employees also enjoy:<ul><li>
A robust 401k plan with up to a 5% employer match</li><li>
A retirement savings plan that is 100% company funded</li><li>
Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries</li><li>
Eligibility to receive a yearly bonus as a Munich Re employee</li><li>
A variety of health and wellness programs provided at no cost</li><li>
A hybrid environment that gives you a choice in where and how you get work done</li><li>
A corporately subsidized on-site cafeteria as well as a We Proudly Serve coffee shop</li><li>
An on-site complimentary workout facility as well as walking trails on campus grounds</li><li>
On-site wellness center complete with nurse practitioner</li><li>
Financial assistance for adoptions and infertility treatment</li><li>
Paid time off for eligible family care needs</li><li>
Tuition assistance and educational achievement bonuses</li><li>
Free parking</li><li>
A corporate matching gifts program that further enhances your charitable donation</li><li>
Paid time off to volunteer in your community</li></ul>
At American Modern, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.
We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Applicants requiring employer sponsorship of a visa will not be considered for this position.
Salary range: $150-170K base
#LI-SF1</div></div>
 <div><div><div><h2 class="jobSectionHeader">Your Benefits</h2>
With us, you get more than just an exciting job. Enjoy a wide range of employee benefits tailored to your wellbeing and development. Please note that regional differences may apply.
</div><div><div>Competitive Salary
We provide fair and competitive compensation that reflects your performance and commitment.
</div><div>Company performance-based Incentives
In addition to your salary, our variable compensation approach allows you to share in Munich Re's success.
</div><div>Recognition and Special Rewards
We recognise outstanding individual contributions through a variety of targeted rewards and incentives.
</div><div>Retirement Planning
We support your long-term financial wellbeing with retirement solutions aligned with local regulations.
</div><div>Inclusive Workplace Culture
We foster a respectful, inclusive, and values-driven environment.
</div><div>Learning &amp; Development
We offer tailored learning opportunities with a strong focus on core skills and business-critical knowledge.
</div><div>Work-Life-Balance
Supporting your ability to balance family, leisure, and your career.
</div><div>Health &amp; Wellbeing
We support your physical and mental health through a range of programs and activities in each location.</div></div></div></div>

Hunter Douglas

<div><div>Hunter Douglas is the world's leading manufacturer of window coverings and a major manufacturer of architectural products. We are a brand that you know and trust. With more than 100 years of innovation, we've defined our industry with proprietary products that deliver revolutionary style and functionality and can be found in millions of homes and commercial buildings globally.

We are searching for candidates that are driven, intelligent, creative, and entrepreneurial. By offering challenging and accelerated opportunities for growth, powered by a shared hunger for success, we create a space for your career to thrive. In return for your expertise, we are committed to providing competitive and robust total compensation and benefit packages to ensure you feel valued. Our dream is to become the fastest growing, most loved, window covering company in the world. What's yours?</div>
Position Overview

Hunter Douglas is seeking a motivated and experienced Data Scientist to join our growing AI Analytics &amp; Digital Transformation team. This individual will play a key role in advancing Hunter Douglas's digital and data-driven transformation by leveraging AI, machine learning, and advanced analytics to optimize operations, enhance customer experiences, and support strategic decision-making across our global business.

The successful candidate will partner with business leaders across supply chain, logistics, manufacturing, sales, and customer experience to identify opportunities where AI and data science can drive measurable value &mdash; from predictive demand modeling and inventory optimization to intelligent automation and sustainability initiatives.

What you'll do
<ul>
<li>Design, develop, and deploy advanced AI/ML models and algorithms that improve operational efficiency, forecasting accuracy, and decision intelligence across the Hunter Douglas supply chain.</li>
<li>Conduct data exploration, feature engineering, and model tuning to ensure accuracy, robustness, and business applicability.</li>
<li>Collaborate with business stakeholders to translate complex challenges into data-driven solutions aligned with organizational goals.</li>
<li>Monitor, retrain, and optimize models post-deployment to maintain high performance as data and business conditions evolve.</li>
<li>Apply state-of-the-art methods such as neural networks, reinforcement learning, natural language processing (NLP), and generative AI to tackle diverse business challenges.</li>
<li>Contribute to the AI strategy roadmap, ensuring alignment with Hunter Douglas's digital transformation initiatives.</li>
<li>Work with data engineers and IT to ensure efficient data pipelines, scalable infrastructure, and model deployment.</li>
<li>Partner with internal and external technical teams, vendors, and consultants to implement and scale AI solutions.</li>
<li>Communicate findings and insights clearly to both technical and non-technical stakeholders through visualizations, presentations, and storytelling.</li>
<li>Stay at the forefront of AI and analytics innovation, evaluating new tools, methodologies, and technologies for potential adoption.</li>
<li>Collaborate with digital product and IT teams to develop and integrate AI-assisted tools and automations within Hunter Douglas's VIBE platform and data ecosystem.</li>
<li>Experiment with AI coding assistants (e.g., Cursor, GitHub Copilot, OpenAI Codex) to accelerate analytics and model development and improve reproducibility.</li>
<li>Support the creation of custom AI copilots and prompt libraries for use in digital supply chain tools, analytics dashboards, and planning applications.</li>
<li>Partner with the Digital Supply Chain Leader to prototype intelligent process automation for recurring planning, logistics, quality, or operational workflows.</li></ul> 


Who you are
<ul>
<li>Bachelor's degree in a quantitative field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics, Operations Research, or related).</li>
<li>5+ years of experience in AI/ML model development, deployment, and performance optimization in a business or industrial context.</li>
<li>Strong proficiency in Python, R, or SQL for data science and model development.</li>
<li>Demonstrated experience with machine learning frameworks and cloud platforms (AWS, Azure, GCP).</li>
<li>Proven ability to design and operationalize data science solutions in real-world environments.</li>
<li>Experience with predictive modeling, optimization, and time-series forecasting, ideally within supply chain, operations, or commercial analytics.</li>
<li>Knowledge of data visualization and BI tools (Power BI, Tableau, or similar).</li>
<li>Strong problem-solving, analytical, and communication skills.</li>
<li>Familiarity with version control (Git) and collaborative development practices.</li></ul> 


Preferred Education, Experience, and Skills:
<ul>
<li>Master's in Data Science, Engineering, Statistics, or related quantitative discipline.</li>
<li>Experience working in manufacturing, supply chain, or consumer goods industries.</li>
<li>Knowledge of IoT data analytics, predictive maintenance, or computer vision in industrial applications.</li>
<li>Understanding of AI frameworks and automation pipelines for large-scale AI deployment.</li>
<li>Proven ability to manage multiple projects and deliver business impact through analytics.</li>
<li>Strong collaboration and communication skills to engage with diverse business teams.</li>
<li>Experience working with ERP and supply chain systems (SAP, Kinaxis, Oracle, etc.).</li></ul> 


Travel:
<ul>
<li>Travel up to 20% may be required for project collaboration and site visits</li></ul> 


What's in it for you
<ul>
<li>Annual base salary range: $95000-$125000</li>
<li>Bonus target range: 20%-25%</li>
<li>Generous benefits package including medical, dental, vision, life, disability</li>
<li>A company culture that prioritizes internal development and professional growth</li>
<li>Time off with pay</li>
<li>401(k) plan with a degree of employer matching</li>
<li>Paid parental leave</li>
<li>Wellness programs and product discounts</li>
</ul>
Please note, all offers presented to candidates are carefully crafted to ensure market competitiveness, equity, and reflect the individual candidate's education, experience, skills and potential. 
Hunter Douglas is an Equal Opportunity Employer and complies with applicable employment laws. EOE/M/F/Vet/Disabled are encouraged to apply.

#LI-SA1

#L1 - HYBRID<div>
By submitting your application below, you are providing your prior consent to receive SMS messages to notify you of any updates to your application status and to engage in discussion throughout your application process. You can cancel the SMS service at any time. Just text &quot;STOP&quot; to any of our texts to unsubscribe. Message &amp; data rates may apply. Message frequency may vary. If you have any questions regarding privacy, please read our privacy policy, https://www.hunterdouglas.com/privacy-policy or terms of use https://www.hunterdouglas.com/terms-of-use</div></div>

Capgemini

<div><div><div><div>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. 
 
Role Overview
Focuses on Generative AI, intelligent applications, and advanced analytics. This role combines hands-on AI engineering with a delivery and consulting oriented mindset. You will work closely with business and technical stakeholders to shape, build, and scale AI solutions from early exploration through production delivery. Some engagements may follow a Forward Deployment Engineer (FDE)-style working model, where engineers collaborate closely with client teams during solution design and rollout. However, the role remains broad and well suited for candidates who enjoy combining strong technical problem solving with collaborative, client facing delivery. Many initiatives are centered on enterprise cloud and AI platforms, with a strong preference for Azure based architectures and services, as well as modern developer environments that incorporate AI assisted development and code generation tools.
Key Responsibilities
<ul><li>Design, develop, and deploy AI enabled applications aligned to enterprise needs.
</li></ul><ul><li>Translate business problems into scalable technical solutions.
</li></ul><ul><li>Build Generative AI solutions using large language models, including RAG and tool enabled workflows.
</li></ul><ul><li>Apply AI assisted code generation and developer productivity tools for tasks such as code scaffolding, refactoring, documentation, and test generation.
</li></ul><ul><li>Design and integrate application components using REST APIs, authentication, error handling, and observability best practices.
</li></ul><ul><li>Deploy and operate AI solutions in production or production adjacent environments, supporting monitoring and reliability.
</li></ul><ul><li>In some cases, work in a client proximate or forward deployed delivery model in close collaboration with architects and delivery leads.
</li></ul>Required Qualifications
<ul><li>Bachelor's degree or higher in Computer Science, AI/ML, Data Science, Engineering, or equivalent experience.
</li></ul><ul><li>1+ years of experience in AI/ML, GenAI, application development, or data engineering.
</li></ul><ul><li>Strong proficiency in Python and SQL.
</li></ul><ul><li>Experience with cloud platforms (Azure strongly preferred; AWS or GCP also considered).
</li></ul><ul><li>Experience with APIs, CI/CD pipelines, containerization (Docker), and cloud native deployments.
</li></ul><ul><li>Prior experience in enterprise, consulting, or client delivery environments preferred.</li></ul> 
Preferred Qualifications
<ul><li>Experience delivering solutions on Azure or Microsoft aligned platforms, including AI, data, or application services.
</li></ul><ul><li>Familiarity with Microsoft native developer tools and AI assisted coding / code generation tools.
</li></ul><ul><li>Exposure to agentic or tool orchestrated AI patterns.
</li></ul><ul><li>Interest or experience in client proximate or forward deployed engineering roles (a plus, not required).'</li></ul> 
<div><div><div><h2 class="jobSectionHeader">Job Description</h2>
</div><div>Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.</div>
</div><div><div><h2 class="jobSectionHeader">Job Description - Grade Specific</h2>
</div><div>The role combines advanced technical expertise in data science with consulting skills to provide strategic guidance and solutions to clients.</div>
</div></div>The base compensation range for this role in the posted location is $43,984 to $105,600
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.
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.
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.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
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. 
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
<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>Important Notice: 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. 
Disclaimers
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.
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.
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.
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 
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.</div></div></div></div>

Gen AI/ML Data Scientist

<div>At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy. 
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:<ul><li>
Craft and convey clear, impactful and engaging messages that tell a holistic story.</li><li>
Apply systems thinking to identify underlying problems and/or opportunities.</li><li>
Validate outcomes with clients, share alternative perspectives, and act on client feedback.</li><li>
Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.</li><li>
Deepen and evolve your expertise with a focus on staying relevant.</li><li>
Initiate open and honest coaching conversations at all levels.</li><li>
Make difficult decisions and take action to resolve issues hindering team effectiveness.</li><li>
Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.</li></ul> 
The Opportunity
As part of the Audit and Assurance team, you will lead the design and deployment of enterprise AI/ML solutions, setting architecture standards and reusable patterns. As a Senior Manager, you will serve as a strategic advisor, aligning clients and cross-functional teams on scope, roadmap, metrics, and delivery across workstreams. This role offers the chance to champion Responsible AI governance and mentor future leaders while driving productivity and reliability in AI-assisted development.
Responsibilities<ul><li>Lead the design and implementation of enterprise AI and machine learning solutions</li><li>Establish architecture standards and reusable frameworks for development</li><li>Collaborate with clients and cross-functional teams to define project scope and delivery</li><li>Drive the governance of Responsible AI, maintaining compliance with privacy and security</li><li>Promote MLOps practices to enhance operational effectiveness and reliability</li><li>Mentor and develop future leaders within the team</li><li>Oversee project performance, including resource allocation and budget management</li><li>Provide timely updates and communication regarding project progress</li></ul>
What You Must Have<ul><li>Bachelor's Degree</li><li>At least 8 years of professional AI/ML development, engineering, or testing experience</li></ul>
What Sets You Apart<ul><li>Master's Degree in Engineering, Computer Science, Data Processing/Analytics/Science preferred</li><li>At least 3 years of experience leading teams and delivering complex initiatives as a technical lead, engineering manager, or data science manager</li><li>Proven track record leading multi-team programs</li><li>Managing stakeholders and delivering measurable business outcomes</li><li>Translating business problems into well-engineered AI solutions</li><li>Analyzing and building data models and transformation routines</li><li>Experience with modern LLM applications and proficiency in end-to-end development</li><li>Championing MLOps and AI-assisted development to improve effectiveness</li><li>Hiring and mentoring leaders to manage performance</li><li>Establishing Responsible AI governance</li></ul> 
The salary range for this position is: $119,000 - $299,930. For residents of Washington state the salary range for this position is: $119,000 - $337,000. 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
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.
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.
Learn more about how we work: https://pwc.to/how-we-work
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.</div>

AI Engineer / Data Scientist, AI Sr. Manager

Lincare

<div>
 
 Required
 
 
 
 The Data Scientist is primarily responsible for supporting/leading AI-driven initiatives that will help drive revenue growth, efficiency/productivity, and patient Lifetime Value. The individual will be conducting prescriptive, predictive and informational analytics to identify actionable insights. Skills required include, but are not limited to:
 
 
 <ul>
 <li>
 building machine learning algorithms
 </li>
 <li>
 data engineering
 </li>
 <li>
 natural language processing (NLP)
 </li>
 <li>
 large language models (LLMs) and any other required AI skills
 </li>
 <li>
 Technical coding skills are also required and include SQL code, R-Markdown and Python.
 
 
 </li>
 </ul>
 Through the combination of statistical knowledge, AI skills and technical coding languages, a data scientist will be required to complete any assigned analytical projects in a timely and efficient manner. Additionally, this position will be required to identify, plan and implement any other use cases for AI technology to help drive business success and improvement. They will also take a key role in the planning and development of Lincare's AI platform and strategy. Projects and long-term strategy development should always focus on business impact and have measurable outcomes for success measurement. Additionally, this position will be required to work with other teams to gain insight and to provide technical training to others.
 
 
 
 Job Functions
 
 
 
 <ul>
 <li>
 Responsible for data analytics / data science on massive sets of complex and, sometimes, unstructured data to prepare for statistical analysis.
 </li>
 <li>
 Manipulates or converts data according to analysis needs; and develops approaches to deal with imperfections in data (e.g. missing values or inconsistent data formatting)
 </li>
 <li>
 Identifies and executes on best approach for assigned project which may include skills including machine learning, NLP, LLMs, deep learning, neural networks or any other data science function.
 </li>
 <li>
 Develops reports using complex formulas; analyzes and reviews results for accuracy.
 </li>
 <li>
 Understands how to work with multiple data sources, and accurately accesses the correct data within complex databases based on business needs and reporting requirements.
 </li>
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 Will be comfortable interacting at all levels of technology teams both internal and external to Lincare. (project managers, database designer, information architecture, multilayer off-shore support centers, etc.)
 </li>
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 Manages projects to ensure they are delivered successfully and in a timely manner.
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 Identifies opportunities to improve revenue, productivity/efficiency as well as enhance patient life time value using data science technologies.
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 Performs other duties as assigned.
 </li>
 <li>
 Complies with all policies and standards.
 </li>
 </ul>
</div>

Data Scientist

Samba TV

<div>
 
 
 Samba is a media intelligence company. We know what the world is watching, reading, and thinking about &amp;mdash; in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it&rsquo;s the most interesting data asset on the planet, because it&rsquo;s the most culturally relevant.&nbsp;
 
 
 
 
 
 
 
 
 
 
 ABOUT THE ROLE
 
 
 
 
 
 
 We are looking for a hands-on Data Scientist to own and deliver complex measurement science and modeling work at the core of our measurement and audience sciences products.&nbsp;
 
 
 
 
 
 The role requires a deep, first-principles understanding of data science and machine learning &amp;mdash; not just the ability to apply libraries, but the ability to reason clearly about model behavior, articulate trade-offs between approaches, and make defensible methodological decisions under ambiguity. This is emphatically a coding role &amp;mdash; you will spend the majority of your time writing production-quality Python, building and evaluating models on large-scale viewership and web data, and delivering end-to-end ML solutions.
 
 
 
 
 
 You will work closely with Data Engineering, Product, and go-to-market teams.
 
 
 
 
 
 
 
 
 
 WHAT YOU'LL DO
 
 
 <ul>
 
 <li>
 
 
 
 Write and own production-quality Python code end-to-end &amp;mdash; well-structured, tested, documented, and built to last; PySpark proficiency is essential for working with Samba's billion-row viewership datasets
 
 
 
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 Design, build, and deploy measurement models and statistical frameworks that power Samba&rsquo;s campaign measurement, reach/frequency estimation, and cross-platform attribution products
 
 
 
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 Apply the right statistical and ML technique to the right problem &amp;mdash; drawing from hierarchical models, Bayesian inference, gradient boosting, regularized regression, causal ML, and probabilistic record linkage &amp;mdash; and clearly articulate the reasoning behind your choices
 
 
 
 </li>
 
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 Build and evaluate multi-touch and multi-channel attribution models; apply Causal ML methods &amp;mdash; counterfactual modeling, meta-learners (S-learner, T-learner, X-learner), and heterogeneous treatment effect estimation &amp;mdash; to advertising and viewership measurement problems
 
 
 
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 Partner with Data Engineering to define data requirements, validate pipelines, and ensure model inputs are reliable, scalable, and production-ready
 
 
 
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 Lead technical design reviews and contribute meaningfully to architecture decisions across the Data Science team
 
 
 
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 Mentor junior Data Scientists through code review, pairing, and structured technical feedback &amp;mdash; raising the team's technical floor
 
 
 
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 Communicate measurement methodologies and findings clearly to technical and non-technical audiences, including senior leadership and external clients
 
 
 
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 </ul>
 
 
 
 
 
 WHO ARE YOU
 
 
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 5-7 years of professional data science experience &amp;mdash; hands-on, delivery-focused, and measurable in shipped models and production systems
 
 
 
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 Expert-level Python &amp;mdash; clean, modular, testable, production-ready code is your standard, not your aspiration
 
 
 
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 Advanced PySpark and Databricks &amp;mdash; comfortable building and optimizing data pipelines and ML workflows on billion-row datasets
 
 
 
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 Deep, first-principles command of statistics and ML &amp;mdash; you can explain from the ground up how these models work and you apply this understanding to make better modeling decisions
 
 
 
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 Solid grasp of experimental design &amp;mdash; A/B testing, randomization, power analysis, and the conditions under which observational causal inference is appropriate
 
 
 
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 Fluent in the full ML lifecycle: feature engineering, model evaluation, deployment pipelines, drift monitoring, and iterative improvement in production
 
 
 
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 Hands-on experience with uplift modeling, synthetic control, difference-in-differences, or propensity-based approaches applied to advertising or media outcomes
 
 
 
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 Strong ownership mindset &amp;mdash; you drive projects independently and are comfortable owning your models from data exploration through production delivery, with minimal hand-holding.
 
 
 
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 Clear communicator &amp;mdash; able to translate statistical reasoning and model behavior into language that drives decisions with product, engineering, and leadership
 
 
 
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 </ul>
 
 
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 Experience with multi-touch attribution (MTA) or multi-channel attribution modeling &amp;mdash; understanding of the limitations of rule-based approaches and the methodological trade-offs of data-driven alternatives
 
 
 
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 Hands-on experience with Causal ML methods &amp;mdash; counterfactual modeling, meta-learners, and heterogeneous treatment effect estimation &amp;mdash; applied to advertising or media measurement outcomes
 
 
 
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 Direct exposure to TV or digital viewership data &amp;mdash; ACR signals, STB data, viewership panels, or cross-platform measurement (linear + CTV/OTT)
 
 
 
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 Familiarity with the measurement
 
 
 
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 t vendor landscape (Nielsen, Comscore, VideoAmp, iSpot) and industry standards (MRC, GRP/TRP frameworks)
 
 
 
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 Advanced degree (MS or PhD) in Statistics, Mathematics, Computer Science, or a related quantitative field &amp;mdash; or equivalent depth demonstrated through work
 
 
 
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 </ul>
 
 
 
 
 
 
 
 
 
 Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.&nbsp;&nbsp;We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.
 
 
 
 
 &nbsp;
 
 
 
 
 Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law.
 
 
 For further details, please see Samba's
 
 
 Applicant Privacy Policy
 
 
 .
 
 
 For residents of the EU , Samba Inc. is the data controller.
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 
 Samba expects to offer a base salary between
 
 $150,000 - $180,000 USD
 
 per year for roles to be performed in San Francisco or California; actual base salary offered will depend on various factors including but not limited to location, experience, and performance. Base salary is just one component of Samba's total compensation package for employees. Other rewards may include bonuses, short-term incentives and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.
</div>

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