Client Management Interns support the client team in managing client relationships, ensuring client needs are met, and enhancing client satisfaction. The intern will assist in developing and implementing client success plans, meeting preparation, coordinating cross-functional team support, and organizing client meetings and follow-ups. The role requires effective communication skills, attention to detail, and the ability to work both independently and collaboratively. *Internship details:* <ul><li>The internship will begin January 13, 2025</li><li>This internship will be based in the Detroit Metro area</li><li>20-25 hours/week work dedication during the semester and up to 40/week during breaks and summer</li><li>Anticipated graduation date between December 2025 - December 2026</li><li>Applicants for this internship position with Acxiom in the U.S. must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Acxiom (i.e., H1-B visa, F-1 visa (CPT/OPT), TN visa or any other non-immigrant status)</li></ul>What you will do:<ul><li>Collaborate with the client success team to develop and implement client success plans</li><li>Monitor client satisfaction and proactively address any issues or concerns.</li><li>Preparation for internal and external meetings.</li><li>Support the team in organizing and conducting client meetings and follow-ups.</li><li>Help to identify opportunities for improving client services and processes.</li><li>Maintain accurate and up-to-date client meeting artifacts and documentation.</li><li>Assist in managing client relationships and ensuring needs are met.</li><li>Research projects on relevant industry news, trends, products, services, competitors, and relevant existing and emerging technologies that may impact present and future account performance.</li><li>This role will partner with the Client Partners for the GM and other accounts to support data consulting with our clients:</li><li>Leverage education and experience in data visualization to support data-driven storytelling initiatives across the tower focusing on GM as a first priority.</li><li>Leverage Acxiom’s data and data available through established partnerships with brands like Equifax, Polk and Commerce Signals to develop opportunities for creating high-value audiences and other models.</li><li>Help coordinate and prepare for activities designed to build, test and perfect data solution</li><li>Work directly with account team as well as the Acxiom data teams.</li></ul>What you will need:<ul><li>Currently pursuing a degree in Business, Marketing, Communications, or a related field.</li><li>Strong interpersonal and communication skills.</li><li>Ability to work independently and as part of a team.</li><li>Detail-oriented with excellent organizational skills.</li><li>Proficiency in Microsoft Office Suite and CRM software is a plus.</li></ul>Who are we seeking?<ul><li>Top Talent & High Performers: We hire the brightest in the industry!</li><li>Innovative Collaborators: We drive operational improvements to promote efficiency and improve performance.</li><li>Future Leaders: We develop our people and promote from within.</li><li>Game Changers: We empower people to challenge the status quo and explore new possibilities.</li><li>Emotional Intelligence: We cultivate greatness both within ourselves and with others.</li><li>Hardworking Employees: We look for initiative to conquer complex challenges.</li></ul>We believe in building an exciting workplace where associates feel highly motivated and want to engage every single day. It’s important to Acxiom that we invest in our culture and promote a healthy work-life balance. Acxiom has a fast paced, high-performance culture where we empower our people to do innovative, ground breaking work. You will always be guided to do what is right. Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected Primary Location City/State: 
Homebased - Conway, Arkansas Additional Locations (if applicable):Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status. Attention California Applicants: Please see our CCPA/CPRA Privacy Act notice here . Attention Colorado, California, Connecticut, Maryland, Nevada, New York City , Ohio, Rhode Island, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact recruit@acxiom.com .

Summary In this position with the Chesler Lab, you will collaborate closely with data scientists, software engineers, and scientists with expertise in statistical genetics and addiction research. You will use your skills to develop, design, and deploy interactive modular visualizations of complex multi-modal data and analytical results. Designing elegant and robust digital experiences that facilitate the discovery process is the core objective. About Your JAX Internship Experience As a JAX Intern, you will receive a dedicated mentor in your department and connect with your fellow interns through JAX-sponsored activities. The desired start and end date for this position is Monday, Jan 6, 2025 - Friday, April 25, 2025. What You'll Contribute <ul><li>Apply/refine algorithms for visualization of complex multi-modal data</li><li>Design visualization algorithms that can operate on experimental data and analytical results so scientists can interrogate and explore relationships among data elements while maintaining scientific rigor</li><li>Apply skills and gain experience in designing digital experiences that are responsive and adaptive</li><li>Read scientific papers to gain a basic understanding of the biology and analytical methods relevant to the project</li><li>Work with software engineers to develop algorithms that can be used across JAX systems and data</li><li>Create visual designs through use of layouts, colors, and illustrations using modern design tools and techniques. </li></ul> What You're Good At JAX encourages applications from a diverse mix of educational backgrounds and experiences. Preferred qualifications include: <ul><li>Must be enrolled in a college or university program</li><li>Graduate student majoring in Computer Science with a Data Visualization emphasis</li><li>Background applying data visualization principles to complex data (systems genetics a plus)</li><li>Experience deploying visualization modules in existing software (glue would be a plus)</li><li>Familiarity with tools and techniques to drive collaborative design practices, communications, prototyping, and visual representations of user experience</li><li>Ability to program in R or python with intermediate or better fluency</li><li>Understanding of basic statistics (e.g. t-test, p-values) and network analysis</li><li>Exposure to college-level biology and/or systems genetics data</li><li>Curiosity about biological problems and a desire to develop systems for researchers to explore large biological datasets and analytical results</li></ul> Submission of a resume and cover letter is required for this position The hourly rate is $25-$35 per hour. About JAX: The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California), Japan and China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health. Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visit www.jax.org. EEO Statement: The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.

Department Overview:We are seeking a highly skilled Senior Data Scientist in our Financial Crime Risk Modeling & Advanced Analytics team. In this pivotal role, you will be responsible for financial crime risk model validation and monitoring. Job Desc Data Scientist, Data Science, Scientist, Data Engineer, Leadership, Enterprise, Technology, Banking

Data Scientist Jobs in Portland, ME

Intern Data Scientist Spring Detroit Metro
November 27, 2024

Data Scientist Student Intern Neu Chesler Lab
November 23, 2024

Data Scientist Iii Us
November 22, 2024

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Data Scientist Jobs in Portland, ME

Intern Data Scientist Spring Detroit MetroNovember 27, 2024

Data Scientist Student Intern Neu Chesler LabNovember 23, 2024

Data Scientist Iii UsNovember 22, 2024

Quick filters

Top companies

Intern Data Scientist Spring Detroit Metro
November 27, 2024

Data Scientist Student Intern Neu Chesler Lab
November 23, 2024

Data Scientist Iii Us
November 22, 2024