senior data scientist

Hays

<div>
 
 
 Senior Data Scientist
 
 
 
 
 Financial Services
 
 
 
 
 Dubai, United Arab Emirates
 
 
 
 
 Permanent position
 
 
 
 
 
 
 We are looking for a Senior Data Scientist to join an investment team to help advance the next stage of growth for of tech‑driven wealth management firm.
 
 
 
 
 
 This role sits at the intersection of quant finance, AI and engineering. You will work directly quant analysts and researchers, to build models, tools, and insights that enhance investment decisions across multi‑asset portfolios.
 
 
 
 
 
 
 Asset class
 
 
 
 Experience working with multi‑asset datasets: equities, FX/currencies, rates, credit, commodities, derivatives.
 
 
 
 
 
 
 Experience needed
 
 
 <ul>
 <li>
 Python expertise
 </li>
 <li>
 ML proficiency
 </li>
 <li>
 Develop and maintain quantitative models for asset allocation
 </li>
 <li>
 Design and deploy LLM‑powered tools
 </li>
 <li>
 Familiarity with portfolio construction frameworks and allocation strategies
 </li>
 <li>
 Deep understanding of quantitative finance and financial datasets
 </li>
 <li>
 Implement AI models for quant research and investment workflows
 </li>
 <li>
 Previous QR/QA/SDS industry role within wealth management, managers, funds, or investment banks
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 PhD in Com Sci or relevant STEM
 </li>
 </ul>
 
 
 
 
 Salary, bonus, family visa, family medical, flight &amp; relocation assistance available for successful overseas applicants.
 
 
 
 
 
 **Due to the high number of applicants, only applicants with the above skillset will be contacted**
 
</div>

Senior Data Scientist

Coca-Cola HBC

<div>
 
 
 Location:
 
 New Cairo, Egypt
 
 
 
 Department:
 
 Data Science &amp; AI
 
 
 
 Role reports to:
 
 Data Science &amp; AI Manager
 
 
 
 Contract Type:
 
 Permanent
 
 
 
 Work Model:
 
 Hybrid (4 days from office)
 
 
 
 
 
 
 
 
 We are seeking a seasoned and self-organizing Senior Data Scientist to join our Data Science in Digital Commerce team. This role is ideal for someone who combines deep technical expertise with strategic thinking and a strong sense of initiative.
 
 
 You will be expected to proactively drive progress, anticipate project needs, and ensure that analytical work is not only technically sound but also aligned with business priorities and customer impact. The role requires someone who naturally engages across teams and stakeholders, contributing to a collaborative and outcome-oriented environment.
 
 
 
 
 
 
 IN THIS EXCITING ROLE YOU WILL:
 
 
 
 
 
 
 &bull; Lead the development and deployment of advanced analytics and traditional machine learning solutions, working hands-on, as proof-of-concept and in production environments.
 
 
 &bull; Lead a team of Data Scientist and AI developer, while collaborating with internal engineering team
 
 
 &bull; Manage sub-project workflows independently, identifying next steps and ensuring timely execution at feature level.
 
 
 &bull; Collaborate with cross-functional teams to translate complex analytical findings into clear, actionable recommendations for both technical and non-technical audiences.
 
 
 &bull; Stay current with emerging technologies, with a particular focus on Generative AI and its practical applications.
 
 
 &bull; Deliver scalable, maintainable solutions that support customer and business needs.
 
 
 &bull; Have opportunities for professional training and certifications as well as mentorship.
 
 
 
 
 
 
 YOU CAN BE SUCCESFULL IN THIS ROLE IF YOU HAVE:
 
 
 
 
 
 
 &bull; MSc or PhD in Data Science, Engineering or a related field.
 
 
 &bull; A mindset geared toward ownership, communication, initiative, and continuous improvement.
 
 
 &bull; Minimum 5 years of experience in data science roles, with a strong track record of delivering commercial analytics solutions (propensity modeling, forecasting, optimization) both as proof-of-concept and in production.
 
 
 &bull; People management experience of at least one year.
 
 
 &bull; Proficiency in Python/Pyspark, SQL and ML libraries, and ideally certification(s) in Databricks or Azure, as well as experience with PowerBI. Other cloud services are also acceptable.
 
 
 &bull; Concrete experience in SAFe-agile as way of working, as well as DevOps/MLOps in development.
 
 
 &bull; Strong, self-driven exposure in GenAI. Familiarity with Microsoft Copilot Studio and Foundry will be appreciated.
 
 
 &bull; Interest in gaining domain specific knowledge concerning the business model of Coca Cola Hellenic.
 
 
 &bull; Great communication skills and the ability to engage with both technical and business stakeholders.
 
 
 &bull; Functional experience in the Digital area (such as Marketplaces, B2C apps, e-Retailers) is a plus.
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens - for us and for you - when we OPEN UP.
 
 
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

Intuit

<div>
 
 Overview
 
 
 
 Come join the Intuit Finance Data Science &amp; Strategy team as a Senior Data Scientist! In this role, you will help drive data-backed strategic initiatives across the Intuit portfolio, primarily focused on opportunities within our Consumer Group. We are looking for creative problem solvers with a passion for delivering data-driven insights. You will partner closely with finance strategy, FP&amp;A, data engineering, and various business partners to directly impact our business results and accelerate Intuit&rsquo;s growth.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Leveraging predictive modeling, advanced analytics and causal inference methods to identify new opportunities to grow the business exploring unit economics, market dynamics, product migration, cross-selling, product growth levers, price/spend optimization, etc.
 </li>
 <li>
 Perform end-to-end analytics using advanced SQL, ML and AI to extract business insights that drive tangible value for our customers and result in business growth.
 </li>
 <li>
 Leverage data visualization and dashboarding tools such as Tableau to help uncover key business insights and improve team automation and self-service analytics.
 </li>
 <li>
 Disseminate business insights to cross-functional stakeholders and influence decision-making.
 </li>
 <li>
 Keep up with evolving trends and advancements in data analytics to drive innovation and continuously improve business processes.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 4+ years relevant experience with a proven track record of leveraging analytics to drive significant business impact.
 </li>
 <li>
 Advanced proficiency in SQL, &ldquo;big data&rdquo; technologies (e.g., Redshift, Spark, Hive, BigQuery), and BI tools (e.g., Tableau, Qlik, Dash). Qlik certification is a big plus
 </li>
 <li>
 Passion for uncovering strategic opportunities and and a strong business acumen and the ability to translate business strategy into testable hypotheses and insights
 </li>
 <li>
 High-level understanding of advanced statistical modeling and ML methodologies such as causal inference techniques with a strategic understanding of their application
 </li>
 <li>
 Strong programming skills in Python or R; experience building ML and GenAI models, including automation and custom implementations.
 </li>
 <li>
 Strong data storytelling skills, with a proven ability to rapidly construct impactful visualization, communicate insights and influence leadership
 </li>
 <li>
 Excellent communication and interpersonal skills, with a proven ability to build trust and collaborate seamlessly across technical, business, and cross-functional teams.
 </li>
 <li>
 Comfortable working in a fast-paced environment and have flexibility to shift priorities when needed
 </li>
 <li>
 Bachelor&rsquo;s degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative field; Master&rsquo;s Degree preferred. Or equivalent work experience.
 
 
 </li>
 </ul>
 
 Preferred Additional Experience
 
 
 
 <ul>
 <li>
 Working knowledge of Consumer Finance platforms&rsquo; (e.g., TurboTax) data and business model.
 </li>
 <li>
 Understanding of forecasting processes, financial reporting, time value of money, and other financial concepts.
 </li>
 <li>
 Understanding of AI-native architectures and GenAI platforms; able to assess implications for data, testing, and behavior
 
 
 </li>
 </ul>
 Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $162,500 - $220,000.
</div>

PackageX

<div><div><div>About PackageX

PackageX is the execution layer for physical AI in enterprise logistics. We enable enterprises to see, understand, and execute real-world logistics operations in real time using Vision&ndash;Language&ndash;Action intelligence.

We sit between systems of record (ERP, WMS, TMS) and the physical world, turning cameras, people, and automation into deterministic, auditable workflows. Rather than replacing existing systems, PackageX makes them operationally intelligent.

We start with inbound receiving, the highest-friction choke point in logistics, and expand across adjacent workflows, sites, and automation modes. This creates a workflow-led enterprise expansion motion that compounds inside complex operations.

We're a fast-growing pre-Series A stage startup in New York City with a distributed global team backed by Bullpen Capital, Pritzker Group, Sierra Ventures, Ludlow Ventures, MXV Capital, and NSV Wolf Capital.

The Opportunity:

We&rsquo;re looking for a hands-on data scientist someone who doesn&rsquo;t just build models, but digs deep to uncover fee insights, connects disparate data points, and surfaces extraordinary, business-shifting intelligence that others simply miss.

This is not a role for someone who executes on predefined dashboards. It&rsquo;s for someone who asks &ldquo;why&rdquo; before &ldquo;how&rdquo;, who sees patterns before they become obvious, and who can translate raw data into a compelling narrative for business leaders, product teams, and operations alike.

You will be a strategic intelligence partner across the company, combining rigorous data science, creative analytical thinking, and outstanding communication to move the business forward.

What You&rsquo;ll Do:

Data Insights &amp; Business Intelligence
<ul>
<li>Mine complex, large-scale datasets to uncover hidden patterns, fee anomalies, and cross-domain correlations that drive real business decisions.</li>
<li>Proactively identify and surface extraordinary insights for leadership, operations, and partner teams, before the questions are even asked.</li>
<li>Build intuitive analytics tools and dashboards (Tableau, Power BI, Matplotlib/Seaborn) that translate complex data into actionable intelligence.</li>
<li>Deliver insight presentations with clarity and confidence to both technical and non-technical audiences.</li>
</ul>
Machine Learning &amp; Predictive Modeling
<ul>
<li>Design, train, and deploy scalable ML/DL models across NLP and predictive analytics domains.</li>
<li>Build frameworks and services for Machine Learning systems, ensuring reproducibility, performance, and production readiness.</li>
<li>Apply state-of-the-art modeling techniques to solve logistics and operational challenges across the PackageX platform.</li>
</ul>
Data Engineering &amp; Infrastructure
<ul>
<li>Architect and maintain ETL pipelines, data warehouses, and data models that power analytics at scale.</li>
<li>Identify and implement internal process improvements: automating manual workflows, optimizing data delivery, and redesigning infrastructure for greater scalability.</li>
<li>Build and expose data services via RESTful APIs using Django or Flask; deploy on AWS/GCP with Docker-based containerization.</li>
<li>Work with SQL Server, MongoDB, and other DBMS platforms to manage complex, enterprise-scale datasets.</li>
</ul>
Quality &amp; Collaboration
<ul>
<li>Follow engineering best practices: unit testing, design/code reviews, documentation, and CI/CD pipelines.</li>
<li>Collaborate closely with data analysts, ML engineers, and business stakeholders to ensure data models support both technical and strategic needs.</li>
<li>Respond quickly to bug fixes and enhancement requests; deliver on time with minimal supervision.</li>
</ul>
What We&rsquo;re Looking For:
<ul>
<li>5+ years of experience as a data scientist working on production-grade systems.</li>
<li>Expert-level proficiency in Python (Pandas, NumPy) and SQL for data processing, analysis, and complex querying.</li>
<li>Hands-on experience with ML/DL frameworks: TensorFlow, Keras, and/or PyTorch.</li>
<li>Deep understanding of NLP and modern deep learning algorithms.</li>
<li>Extensive backend experience with Django and Flask; comfort building and integrating RESTful APIs.</li>
<li>Experience with GitHub, AWS, GCP, Docker, and CI/CD tooling.</li>
<li>Proficiency with data warehousing, ETL pipeline design, and data modeling (schemas, NoSQL, large-scale datasets).</li>
<li>Experience with enterprise BI tools: Tableau and/or Power BI integration and development.</li>
<li>Fluency in Python visualization stack: Matplotlib, Seaborn, and similar libraries.</li>
</ul>
<div>What can you expect from the application process?

All applications will be looked at by the People team, who will reach out to shortlisted candidates. Across various interview rounds, you'll speak with the hiring manager and other functional heads. We want to have an open discussion about your work and how we can be a great fit. The process may also involve an assessment or presentation relevant to the role. You can expect an offer after three rounds of interviews. All offers are subject to satisfactory reference and background checks.
</div>
</div></div><div><div>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.</div></div></div>

Guidehouse

<div>Job Family:
Data Science Consulting 
Travel Required:
None 
Clearance Required:
Active Secret
What You Will Do: 
The Senior Data Scientist is responsible for leading a team of developers and participating in analysis of actual and predictable interacting operational activities of business to obtain a quantitative, rational basis for decision making through the application of logic and scientific or economic disciplines and techniques. Ability to devise modeling and measuring techniques; utilizes mathematics, statistical methods, engineering methods, operational mathematics techniques (linear programming, game theory, probability theory, symbolic language, etc.), and other principles and laws of scientific and economic disciplines. Ability to demonstrate a complete understanding and wide application of technical principles, theories, and concepts within the Data Science/Operations Research field and provide consultation to technical solutions over a wide range of complex difficult problems in which proposed solutions are imaginative, thorough, practicable, and consistent with organization objectives. 
 
What You Will Need:<ul><li>
An ACTIVE and MAINTAINED Secret Federal or DoD security clearance</li><li>
Bachelor&rsquo;s degree</li><li>
TEN (10) years of professional experience including FIVE (5) years of data engineer, data analytics or data science experience; a Master's degree may be used in lieu of TWO (2) years experience</li><li>
Experience with common data science tools, such as R, Python, MATLAB; with a heavy emphasis on Python.</li></ul> 
What Would Be Nice To Have:<ul><li>
Master&rsquo;s degree</li><li>
Demonstratable experience in at least one statistical programming language (i.e., C#, Python, R); knowledge and understanding of Python is a plus.</li><li>
Demonstrates expert experience in leading development efforts with clear examples of value added to the client.</li><li>
Demonstrates experience interacting with end-users to understand and document business and functional requirements for complex projects, as well as collaborating with technical teams across the full software development life cycle.</li><li>
Demonstrates considerable proven knowledge of organizational planning and project management specific to lifecycle development processes.</li><li>
Experience with common data science tools, such as R, Python, MATLAB; with a heavy emphasis on Python.</li><li>
Experience scoping and estimating project tasks, as well as managing multiple tasks with minimal supervision.</li><li>
Ability to collect, organize, manage, and process client&rsquo;s sources of information and enhance data collection procedures.</li><li>
Understanding of the processing, cleaning, and verification of data used for analysis and ad-hoc analysis.</li><li>
Ability to perform verification, validation, and fault detection of data models.</li><li>
Applied statistics skills, such as distributions, statistical testing, regression, etc.</li><li>
Understanding of data visualization tools (MS Power BI, Tableau, Qlik etc.); with a heavy emphasis on Power BI. Examples of migration between multiple visualization tools is a plus.</li><li>
Understanding of the appropriate statistical model to apply to any problem.</li><li>
Strong understanding and experience working with cloud infrastructure services like Azure, Amazon Web Services &amp; Google Cloud; with a heavy emphasis on AWS.</li><li>
Demonstrable experience with web applications. RPA orchestration, cloud architecture, data API integration, data analytics, AI, big data platforms, and automating machine learning components.</li><li>
Ability to stand-up and manage an integrated software development and machine learning environment.</li><li>
Experience in any database technology (SQL Server/Azure Cosmos DB).</li><li>
Experience implementing and automating models created by data science teams (i.e. Spark, Scala, Hive, Python, R, etc.).</li><li>
Experience working with different query languages (i.e. PL-SQL, T-SQL).</li><li>
Experience working with code repositories and continuous integration (i.e. Git, Jenkins, etc.).</li><li>
Certified Scrum Master (CSM), Professional Scrum Master (PSM), or equivalent</li></ul> 
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:<ul><li>
Medical, Rx, Dental &amp; Vision Insurance</li><li>
Personal and Family Sick Time &amp; Company Paid Holidays</li><li>
Position may be eligible for a discretionary variable incentive bonus</li><li>
Parental Leave and Adoption Assistance</li><li>
401(k) Retirement Plan</li><li>
Basic Life &amp; Supplemental Life</li><li>
Health Savings Account, Dental/Vision &amp; Dependent Care Flexible Spending Accounts</li><li>
Short-Term &amp; Long-Term Disability</li><li>
Student Loan PayDown</li><li>
Tuition Reimbursement, Personal Development &amp; Learning Opportunities</li><li>
Skills Development &amp; Certifications</li><li>
Employee Referral Program</li><li>
Corporate Sponsored Events &amp; Community Outreach</li><li>
Emergency Back-Up Childcare Program</li><li>
Mobility Stipend</li></ul>
About Guidehouse
Guidehouse is an Equal Opportunity Employer&ndash;Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse&rsquo;s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant&rsquo;s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.</div>

RedCloud Technologies

<div>About RedCloud
The global supply chain is broken&mdash;creating a $2 trillion inventory gap where essential consumer goods fail to reach the people who need them. Brands miss sales, distributors mismanage stock, and retailers face empty shelves. The result? Higher prices, slower growth, and lost opportunity across the board.
RedCloud is fixing this. Our RedAI digital trading platform, bulk and retail trading exchanges connect key parts of the supply chain&mdash;enabling bulk inventory exchange, streamlined digital payments, and generating vast quantities of aggregated market data. By applying AI and machine learning techniques, we deliver predictive market insight and trading recommendations straight back to the trading environment&mdash;facilitating smarter everyday business decisions for our customers, from factory to warehouse to store.
Headquartered in London, RedCloud became a publicly listed company on Nasdaq (RCT) in March 2025. With a diverse team spanning many nationalities and operations across Africa, the Middle East, Europe, and Latin America. We&rsquo;re building a more connected and efficient global trade network. Our AI labs are busy exploring the next generation of smart AI agents and deeper FMCG market intelligence for the benefit of our customers across a growing operational footprint.
As a Data Scientist you will:
Design, develop, and deploy ML systems to solve real world problems and enhance business processes. Leverage cloud platforms to build, train, and scale ML models. Develop and implement state-of-the-art algorithms, including Computer Vision techniques, LLMs and other GenAI models. Handle and analyze large amounts of data to train and validate machine learning and deep learning models. Ensure AI solutions are scalable and reliable through continuous iteration and optimization. Collaborate closely with cross-functional teams, including data scientists, data engineers, and software developers, to integrate AI solutions into existing systems. Work with Product and business stakeholders to understand challenges and translate them into efficient AI-driven products aligned with broader business goals. Keep up with the latest advancements in AI, research new techniques and implement them to enhance the performance and accuracy of solutions.
Experience we like to see:
o 3+ years of experience in Data Science.
o A deep understanding of machine learning concepts, NLP techniques, and AI model valuation metrics.
o Experience with libraries/frameworks like NumPy, Pandas, SciPy, Scikit-learn, TensorFlow, PyTorch, Transformers, Langchain, Streamlit, or Gradio, among others.
o Experience with cloud-based tools for production use (e.g., AWS SageMaker, AWS Bedrock, Vertex AI, Azure Machine Learning, Azure OpenAI).
o Knowledge of databases and data technologies, such as Snowflake, BigQuery, and relational databases like SQL.
o Knowledge of Large Language Models, retrieval-augmented generation and generative AI is a nice to have.
Attributes we like to see
Strong problem-solving skills and the ability to break down complex challenges into manageable, actionable tasks. An interest in working across both software engineering and AI, with the ability to piece together solutions using a variety of tools and techniques. Excellent communication skills, with a collaborative approach to working within diverse teams. A passion for continuous learning and personal development, with a willingness to explore new ideas and approaches.
Even if you don&rsquo;t meet every requirement, we still encourage you to apply. Your unique experiences and perspectives might be just what we&rsquo;re looking for.
Benefits
Working with a pioneering provider of eCommerce solutions you will have the opportunity to join an international company who are growing massively, we encourage ambition and creativity.
Plus, you will get:<ul><li>
25 Days Annual leave, increasing to 26 days after 12 months in the business</li><li>
Enhanced Company Pension (Matched up to 5% &amp; Salary Sacrifice)</li><li>
Healthcare Cashplan with Medicash</li><li>
Private Healthcare with Aviva</li><li>
Life Insurance with AIG</li><li>
Happl, our benefit platform which provides access to pre-negotiated discounts on a wide variety of services including entertainment, food, and fitness.</li><li>
Stock / Equity</li></ul>
Check out the links below to see what our CEO Justin Floyd has to say about our plans for growth for the year ahead, and to see our latest video on the mission we&rsquo;re on!
RedCloud I We're growing!
RedCloud I Red101 App I Open Commerce</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.
<div><div><div><h2 class="jobSectionHeader">Location</h2>
</div><div>** Onsite Only , New York City **
</div></div><div><div><h2 class="jobSectionHeader">Your Role</h2> 
</div><div><div> 
 
<ul><li>Push boundaries of what is possible with AI (Traditional AI, Gen AI, Agentic AI)
</li><li>Stay current on AI technology trends and evangelize
</li><li>Evaluate and pilot third-party AI solutions for fit, scalability, and business value
</li><li>Prototype solutions that inform future productization
</li><li>Collaborate on data preparation and synthetic data generation strategies to support experimentation
</li><li>**Validate AI (model) performance, safety and operational readiness before hand-off to production teams**
</li><li>Contribute to AI system architecture
</li><li>**Deploy and manage AI workflows in cloud environments**
</li><li>Collaborate with AI Business Partners 
</li></ul> 
 
</div></div></div><div><div><h2 class="jobSectionHeader">Required Skill and Expereince</h2>
</div><div><div>**Programming &amp; Frameworks - Python, APIs, ML frameworks, AI orchestration tools (LangChain, ADK etc)**
 
- **AI/ML systems - LLMs, embeddings, vector databases**
 
<ul><li>**Building and managing APIs and integrations**
</li><li>**Prompt Engineering**
</li><li>Model Evaluation &amp; Design
</li><li>AI Architecture Design
</li><li>Data preparation &amp; generation
</li><li>Cloud services (AWS, GCP)'</li></ul></div>
</div></div></div>The base compensation range for this role in the posted location is: $110,000 -$ 170,000
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>

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