science analyst

Infogain

<p></p><div><p>ROLES &amp; RESPONSIBILITIES</p>
<div><p><b>Job Description:</b></p><p>
The Data Science department plays a pivotal role in our company, generating value to us by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making. <b>What You'll Be Doing</b></p><ul><li>Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis</li><li>Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models</li><li>Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes</li><li>Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance</li><li>Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics</li><li>Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively</li><li>Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments</li><li>Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities</li></ul><p><b>
Qualifications</b></p><ul><li>B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field</li><li>3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production.</li><li>Strong understanding and practical experience with various machine learning algorithms.</li><li>Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis</li><li>Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design</li><li>Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions</li><li>Proficiency in data visualization libraries, to create meaningful visual representations of complex data</li><li>Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders</li><li>Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment</li></ul><p>
Advantages:</p><ul><li>Experience in the fraud domain</li><li>Experience with Airflow, CircleCI, PySpark, Docker and K8S</li></ul></div><br>
<p></p>
<p>EXPERIENCE</p>
<ul><div>6-8 Years</div>
</ul><p>SKILLS</p>
<ul><div>Primary Skill: Data Science</div>
<div>Sub Skill(s): Data Science
</div><div>Additional Skill(s): Data Science</div></ul></div><p></p>

Data Science Analyst (Senior)

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 <br/>
 <br/>
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 <br/>
 <br/>
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 <br/>
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 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Analyze eBay&rsquo;s large and rich datasets, drive insights from data to diagnose the root cause behind trends and ultimately improve our user experience.
  </li>
  <li>
   Build machine-learning models to predict user behaviors and infer marketing performance, support business decisions through trusted and well-defined model results.
  </li>
  <li>
   Measure and optimize ongoing performance for marketing activities based on data-driven insights, understand key drivers and identify new marketing opportunities by focusing on bankable metrics. Deep-dive into campaign performance and provide insights into what is working and why
  </li>
  <li>
   Mine data to optimize marketing campaigns, revenue growth, and customer experiences. Perform customer segmentation to understand target audiences better.
  </li>
  <li>
   Develop strategies for channel optimization and content strategy.
  </li>
  <li>
   Design, develop, and execute experimentation frameworks, including A/B testing and uplift modeling, to measure marketing effectiveness.
  </li>
  <li>
   Develop and implement solutions for Marketing Mix Modeling (MMM) and Marketing Attribution (MTA).
  </li>
  <li>
   Provide data support for business operation, design self-service tools, dashboards etc.
  </li>
  <li>
   Communicate business performance in a clear and insightful way to the business.
  </li>
  <li>
   Develop, improve and systemize crisp &amp; accurate reporting. Streamline processes and identify/execute on automation and time-saving opportunities. Leads automation of recurring tasks.
  </li>
  <li>
   Translates business problems into a scientific formulation for an AI/Analytics Product solution. Defines requirements and collaborates with engineers to build and productionize AI enabled Analytics Products.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Skills Required
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Intellectual curiosity, passion for problem-solving, and comfort with ambiguity.
  </li>
  <li>
   A passion for understanding and serving the unique community of eBay.
  </li>
  <li>
   Sound business judgment and quantitative analytic ability.
  </li>
  <li>
   Strong communication skills and experience presenting complex quantitative analysis into action-oriented recommendations.
  </li>
  <li>
   Understand a variety of machine-learning techniques (regression, clustering, decision tree learning, etc.) and their real-world advantages/drawbacks.
  </li>
  <li>
   Effective team player and works well within a team and contributes effectively to the success of those interactions regularly.
  </li>
  <li>
   Prior experience or deep knowledge of Performance Marketing and/or Brand Marketing will be highly preferred.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BA/BS in Mathematics, CS, Statistics, Economics, Business, or other related fields.
  </li>
  <li>
   5+ years hands-on work experience in data analysis, with a focus on onsite web analytics, A/B testing, machine learning and report automation.
  </li>
  <li>
   Skilled in database query tools utilizing SQL, and Hadoop experience is a plus.
  </li>
  <li>
   Good Excel and PowerPoint skills, proficiency with statistical analysis tools such as Python or R.
  </li>
  <li>
   Knowledge of AI tools and techniques, such as Gemini, GPT, LLMs etc.
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   <br/>
   <br/>
  </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
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 <br/>
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
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 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>


Data Science Analyst, Paid Marketing

Citi

<div><p>The Specialized Analytics Ld Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.<br>
<br>
<b>Responsibilities:</b></p><ul><li>
Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies</li><li>
Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes</li><li>
Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques</li><li>
Incumbents in this role may often be referred to as Data Scientists</li><li>
Specialization in marketing, risk, digital and AML fields possible</li><li>
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.</li></ul><p><b><br>
Qualifications:</b></p><ul><li>
10 plus years of experience</li><li>
Working experience in a quantitative field, Financial/Credit Card industry</li><li>
Must have Demonstrated ability in data retrieving and manipulation as well as proficient analytical skills</li><li>
Excellent analytic ability and problem solving skills</li><li>
Proficient in Microsoft Office including excellent MS Excel skills to develop analytic presentations</li><li>
Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment</li></ul><p><b><br>
Education:</b></p><ul><li>
Bachelors/University degree, Master&rsquo;s degree preferred</li></ul><p></p><p><br>
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.</p><p></p><p>
-</p><p><b>
Job Family Group:
</b></p>Decision Management<p>
-</p><p><b>
Job Family:</b></p>
Specialized Analytics (Data Science/Computational Statistics)<p>
-</p><p><b>
Time Type:</b></p>
Full time<p>
-</p><p><b>
Most Relevant Skills
</b></p>Please see the requirements listed above.<p>
-</p><p><b>
Other Relevant Skills
</b></p>For complementary skills, please see above and/or contact the recruiter.<p>
-</p><p><i>
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p><p></p><p><i><br>
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
<i>View Citi&rsquo;s </i><i>EEO Policy Statement</i><i> and the </i><i>Know Your Rights</i><i> poster.</i></p></div>

Data Science Lead Analyst - Vice President

<div><h2 class="jobSectionHeader"><b>Discover your future at Citi</b></h2>
<p>Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.</p>
<h2 class="jobSectionHeader"><b>Job Overview</b></h2>
<p>The Data Science Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.</p><p></p><p><b>
Responsibilities:</b></p><ul><li>
Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.</li><li>
Mines and analyzes data from various banking platforms to drive optimization and improve data quality.</li><li>
Deliver analytics initiatives to address business problems with the ability to determine data required, assess time &amp; effort required and establish a project plan.</li><li>
Consults with business clients to determine system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives.</li><li>
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions.</li><li>
Leads system change process from requirements through implementation; provides user and operational support of application to business users.</li><li>
Formulates and defines systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards.</li><li>
Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams.</li><li>
Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts.</li><li>
Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.</li><li>
Performs other duties and functions as assigned.</li><li>
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.</li></ul><p><b><br>
Qualifications:</b></p><ul><li>
5-8 years experience in business and data analysis, process improvement and project management.</li><li>
Ability to effectively use complex analytical, interpretive and problem solving techniques.</li><li>
Demonstrated interpersonal, verbal and written communication skills.</li><li>
Hands on coding experience with Python, SQL is mandatory (proficiency with Libraries such as Pandas, NumPy required).</li><li>
Experience using tools for statistical modeling of large data sets.</li><li>
Expert background in utilizing SQL/Python to extract, manipulate, and analyze datasets.</li><li>
Preferable experience with tools such as Tableau, PySpark, Airflow, Git, JIRA and Confluence.</li><li>
Experience in Data Modelling, ETL technologies, Data pipeline.</li><li>
AI and machine learning experience preferred.</li><li>
Experience with creating data visualizations to communicate metric performance.</li><li>
Experience building data infrastructure and implementing reporting solutions.</li><li>
Experience with statistical analysis or data modeling techniques, including: hypothesis testing, experiment design, and common regression and classification algorithms.</li><li>
Having Python Certification PCAP</li></ul><p><b><br>
Education:</b></p><ul><li>
Bachelor&rsquo;s/University degree or equivalent experience</li></ul><p>
-</p><p><b>
Job Family Group:
</b></p>Risk Management<p>
-</p><p><b>
Job Family:</b></p>
Model Development and Analytics<p>
-</p><p><b>
Time Type:</b></p>
Full time<p>
-</p><p><b>
Primary Location:</b></p>
Irving Texas United States<p>
-</p><p><b>
Primary Location Full Time Salary Range:</b></p>
$96,400.00 - $144,600.00<p><br>
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.</p><p>
-</p><p><b>
Most Relevant Skills
</b></p>Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics.<p>
-</p><p><b>
Other Relevant Skills
</b></p>For complementary skills, please see above and/or contact the recruiter.<p>
-</p><p><b>
Anticipated Posting Close Date:</b></p>
Jan 31, 2026<p>
-</p><p><i>
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p><p></p><p><i>
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
<i>View Citi&rsquo;s </i><i>EEO Policy Statement</i><i> and the </i><i>Know Your Rights</i><i> poster.</i></p></div>

Data Science Senior Analyst Assistant Vice President

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p>Experience with Security Information Event Management (SIEM) tools</p>
<p>Good understanding of SIEM co-relation rules</p>
<p>Should have expertise on TCP/IP network traffic and event log analysis</p>
<p> Knowledge and hands-on experience with any SIEM tool, SPLUNk prefered</p>
<p> Knowledge and handon experience on any EDR tool, Crowdstrike, MS prefered</p><br>
</div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Analyst</div>
</div><div><div><b>Job Id</b></div>
<div>387481</div>
</div><div><div><b>Desired Skills</b></div>
<div>SIEM | SOC-Security Operational Center | Splunk Admin</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER APPLICATION, BACHELOR OF COMPUTER SCIENCE, BACHELOR OF ENGINEERING</div></div></div><div></div>

Soc Analyst

Capgemini

<div><div><div><p>New York</p><div>
Innovation Analyst</div><p>
</p></div></div><div></div><div><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><div>
Job Description</div></div><div><p>
Capgemini is seeking an Innovation Analyst to organize and manage varying innovative efforts in the insurance sector.</p></div></div><div><div><div>
Responsibilities</div></div><div><ul><li>
Conduct <b>Emerging Technology Research</b> with a focus on AI, Machine Learning, and Data Science trends in insurance.</li><li>
Develop <b>Proof of Concepts</b> leveraging advanced analytics and AI-driven solutions.</li><li>
Support <b>Sales Enablement</b> for innovation offerings, including AI/GenAI-based solutions.</li><li>
Engage with the <b>External Ecosystem</b> (partners, events, publications) to identify cutting-edge InsurTech and AI opportunities.</li><li>
Perform <b>Strategic Business Analysis &amp; Planning</b> for technology-driven insurance transformation.</li><li>
Provide <b>Hands-on Project Management</b> for innovation projects.</li><li>
Create and deliver <b>Impactful Presentations</b> showcasing insights and innovation strategies.</li></ul></div></div><div><div><div>
Qualifications</div></div><div><ul><li>
Bachelor&rsquo;s Degree (preferably in <b>Computer Science, Data Science, Artificial Intelligence, Machine Learning</b>, or related fields).</li><li>
Passion for technology and innovation, especially in AI and data-driven solutions.</li><li>
Basic understanding of the <b>InsurTech industry</b> and emerging technologies.</li><li>
Strong leadership and communication skills.</li><li>
Excellent time management and organizational abilities.</li><li>
Proficiency in <b>Microsoft PowerPoint</b> and <b>Microsoft Excel</b>.</li><li><b>
Must be open to relocation </b>across the U.S. both now and in the future.</li></ul></div></div><div><div><div>
Nice to Have Skills</div></div><div><ul><li>
1&ndash;2 years of experience with <b>data science and analytical tools</b> (Python, R, SQL, etc.).</li><li>
Hands-on <b>Project Management</b> experience.</li><li>
Practical experience with <b>AI/GenAI</b> applications and frameworks.</li><li>
Familiarity with <b>Machine Learning models</b> and deployment.</li><li><b>
Software development abilities</b> (Python, Java, or similar).</li></ul></div></div></div><p>
The base compensation range for this role in the posted location is: $60,000-70,000.</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>
</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>
</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></p><p><br>
</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><p>
</p></div></div><div><div><div><div><div>Ref. code</div><div>
361225-en_US</div></div><div><div>
Posted on</div><div>
31 Dec 2025</div></div><div><div>
Experience level</div><div>
Students/Graduates
</div></div><div><div>Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
New York</div></div><div><div>
Business unit</div><div>
FS</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

Innovation Analyst

Search 7565+ Science analyst jobs near you this January. New roles added regularly across leading industries. Apply today.

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