Job Description Job Summary Perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy. Execute data science and statistical analytical experiments methodically to help solve various problems and make a true impact across various healthcare domains. Developing and deploying advanced machine learning models and AI solutions that enhance our products and services. Leverage their expertise in data science, machine learning, and AI technologies to derive insights from large datasets and create predictive models that drive business decisions. Job Duties Data Analysis and Interpretation: Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making. Machine Learning Model Development: Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning. Agentic Workflows Implementation: Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities. RAG Pattern Utilization: Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs. Model Fine-Tuning: Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications. Data Cleaning and Preprocessing: Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling. AI Model Deployment and Monitoring: Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness. Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes. Research and Development: Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies. Documentation and Reporting: Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders. Mentors, coaches, and provides guidance to newer data scientists. Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives. Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions. Use a broad range of tools and techniques to extract insights from current industry or sector trends Job Qualifications REQUIRED EDUCATION: Masters Degree in Computer Science, Data Science, Statistics, or a related field REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES: 6+ years work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered Knowledge of big data technologies (e.g., Hadoop, Spark) Familiar with relational database concepts, and SDLC concepts Demonstrate critical thinking and the ability to bring order to unstructured problems Technical Proficiency: Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch. Statistical Analysis: Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks. Experience with Agentic Workflows: Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations. RAG Techniques: Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs. Model Fine-Tuning Expertise: Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics. Data Visualization: Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively. Database Management: Experience with SQL and NoSQL databases, data warehousing, and ETL processes. Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges. PREFERRED EDUCATION: PHD or additional experience PREFERRED EXPERIENCE: Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio etc.) for working with AI workflows and deploying models. Familiarity with natural language processing (NLP) and computer vision techniques. #PJCorp #LI-AC1 To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. Pay Range: $97,299 - $227,679 / ANNUAL *Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level. <h5 class="jobOverviewSubtitle">Required </h5> <h5 class="jobOverviewSubtitle">Preferred </h5> <h5 class="jobOverviewSubtitle">Job Industries </h5><ul> <li>Other </li> </ul>

Specialty/Competency: Data, Analytics & AI

Industry/Sector: CM X-Sector

Time Type: Full time

Travel Requirements: Up to 80%

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Respond effectively to the diverse perspectives, needs, and feelings of others.

Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.

Use critical thinking to break down complex concepts.

Understand the broader objectives of your project or role and how your work fits into the overall strategy.

Develop a deeper understanding of the business context and how it is changing.

Use reflection to develop self awareness, enhance strengths and address development areas.

Interpret data to inform insights and recommendations.

Uphold 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.

Minimum Degree Required

Bachelor's Degree

Minimum Year(s) of Experience

4 year(s)

Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs:

Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients

Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach

Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases

Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds

Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases

Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis;

Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements;

Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams;

Structuring, write, communicate and facilitate client presentations; and,

Directing associates through coaching, providing feedback, and guiding work performance.

Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas:

Managing AI/GenAI application development teams including back-end and front-end integrations

Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL);

Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization

Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev

Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms

Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc.

Learn more about how we work: https://pwc.to/how-we-work

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.

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

The salary range for this position is: $84,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

#LI-Hybrid

Job Description **THIS IS A FULL-TIME TELECOMMUTING POSITION** You will be the Data Scientist Analyst Sr. for the Operations Analytics & Applications Team. Our team is responsible for designing, developing, automating, and maintaining operations analytical tools using programming, database or scripting languages to improve software modeling and development. What You Will Be Doing As the Data Scientist Analyst Sr., you will be responsible designing and implementing build procedures that are used to support operations tracking, reporting, and delivery. Your responsibilities will include: •Creating and supporting operations Data Models •Leveraging existing Data Model Tools such as RShiny, PyShiny, and SQL Server Procedures •Designing and supporting SAP S4 Conversions •Supporting data visuals and communications at the executive level This position typically requires 5 years of professional experience. Why Join Us Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus -if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you. From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin's comprehensive benefits package here. Our Commitment to Diversity and Inclusion We Hear You, We See You. At Lockheed Martin, we invest in people and promote the sharing of ideas to create incredible solutions. We know that our success depends on the combined efforts of diverse thinkers like you! At Lockheed Martin, we cultivate an inclusive environment that appreciates differences and unique thinking. Our global commitment to diversity and inclusion reflects our values of doing what's right, respecting others and performing with excellence. Learn more here: Global DEI. MUST BE A U.S. CITIZEN - This position requires the selected candidate to be a U.S. Citizen due to program requirements. Basic Qualifications •Bachelor's degree in Data Science, Computer Science, or Information Systems •Hands-on experience with data analysis, statistical, and visualization packages. •Experienced with the application of statistics and data-mining in business environment (trend discovery and analysis, text mining, correlation and pattern discovery, etc.). •Demonstrated examples of working with business partners to deliver a solution that meet project objectives (requirements generation, functional specification generation to project execution). •Demonstrated experience with the fundamentals of machine learning and natural language processing. •Experience with R/RShiny, Tableau, Python, SQL, and Excel. •An understanding of traditional business intelligence and data warehousing concepts (ETL, data modeling, and reporting). •Must be a U.S. Citizen due to program requirements Desired skills •Master's degree in Data Science •Experience with SQL Server Mgt Studio, R Studio, Visual Studio, HANA Studio, Domino and GitLab •Knowledge of SAP ERP Systems, Applications and Processes, and data constructs, as it applies to Procurement. •Strong interpersonal communication skills (verbal, presentation, and written). •Strong problem-solving skills. •Able to work closely with others in a collaborative environment. EEO Lockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. * At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Other Important Information By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to work remotely Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings. Work Schedule Information Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. National Pay Statement Pay Rate: The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Maryland, Washington or Washington DC is $93,400 - $179,000. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Premium Pay Statement Pay Rate: The annual base salary range for this position in most major metropolitan areas in California and New York is $107,400 - $202,400. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. This position is incentive plan eligible.

Analytics and Integrated Planning: The Analytics and Integrated Planning (AIP) division brings expertise in strategic planning, advanced data analysis, data reporting, and institutional research with the explicit purpose of leveraging institutional data to enable robust decision making across the university. AIP partners with university colleges, departments, and other areas to coordinate analytic activities and discover insights in support of university goals. These partnerships serve to improve UCF's analysis capabilities and infrastructure. The Opportunity: Analytics and Integrated Planning is seeking an experienced data scientist to join our team. The Enterprise Data Scientist II conducts in-depth statistical analysis using machine learning techniques, including data wrangling, data mining, and using data analysis methodologies to identify trends and forecast outcomes. This position will conduct analyses of data from varied areas of the university (student success, financial, research, and human resources). The successful candidate will demonstrate a strong knowledge of applied statistics and proficiency in machine learning techniques. Responsibilities: <ul>
<li> Builds machine learning models or algorithms to forecast outcomes. </li>
<li> Devises and utilizes algorithms and models to mine data; performs data and error analysis to improve models; validates data and model outcomes for uniformity and accuracy. </li>
<li> Deploys complex statistical analysis to identify trends and critical factors. </li>
<li> Cleans, processes, and transforms data to prepare it for analysis and modeling. </li>
<li> Creates and maintains detailed documentation of processes, and methodologies. </li>
<li> Creates technical narrative summaries of statistical analysis and findings and enhances findings through data visualization. </li>
<li> Participates in requirements gathering sessions with stakeholders to understand the purpose behind the research questions. </li>
</ul> Minimum Qualifications: Bachelor's or Master's degree and 2+ years of relevant experience, or an equivalent combination of education and experience pursuant to Fla. Stat. 112.219. Click here for more information Preferred Qualifications: Preferred experience and technical skills: <ul>
<li> Demonstrated ability in Python. </li>
<li> Experience with Azure Machine Learning or similar platforms. </li>
<li> 4+ years' experience in data science. </li>
<li> Strong preference for candidates with extensive knowledge of applied statistics. </li>
</ul> The most successful candidates may possess the following qualities: <ul>
<li> Ability to clearly present findings to an audience with varying degrees of technical knowledge. </li>
<li> Agile, versatile, flexible, and able to adapt to evolving priorities. </li>
<li> Demonstrated ability to prioritize and handle multiple projects with attention to detail in a deadline-oriented environment. </li>
<li> Demonstrated ability to work both independently and within a team-based environment. </li>
<li> Ability to effectively communicate verbally and in writing. </li>
</ul> Additional Application Materials Required: In addition to your application, please provide your resume and a cover letter detailing your interest in this position. Special Instructions to the Applicants: We will accept applications for this position through Sunday, December 15, 2024, at 11:59 PM. The University of Central Florida is closed for holiday break from Thursday, December 19, 2024, through Wednesday, January 1, 2025. Our search efforts will resume after the university closure, with interviews anticipated the first two weeks of January 2025. Are you ready to unleash YOUR potential? As a next-generation public research university and Forbes-ranked top employer in Florida, we are a community of thinkers, doers, creators, innovators, healers, and leaders striving to create broader prosperity and help shape a better future. No matter what your role is, when you join Knight Nation, you'll play an integral role at one of the most impactful universities in the country. You'll be met with opportunities to connect and collaborate with talented faculty, staff, and students across 13 colleges and multiple campuses, engaging in impactful work that makes a positive difference. Your time at UCF will provide you with many meaningful opportunities to grow, you'll work alongside talented colleagues on complex projects that will challenge you and help you gain new skills and you'll have countless rewarding experiences that go well beyond a paycheck. Working at UCF has its perks!UCF offers: <ul>
<li> Benefit packages, including Medical, Dental, Vision, Life Insurance, Flexible Spending, and Employee Assistance Program </li>
<li> Paid time off, including annual and sick time off and paid holidays </li>
<li> Retirement savings options </li>
<li> Employee discounts, including tickets to many Orlando attractions </li>
<li> Education assistance </li>
<li> Flexible work environment </li>
<li> And more...For more benefits information, view the UCF Employee Benefits Guide. </li>
</ul> Dive into our Total Rewards Calculator to discover the diverse selection available to you, giving you a glimpse into the benefits that together shape your comprehensive rewards package at UCF. Unless explicitly stated on the job posting, it is UCF's expectation that an employee of UCF will reside in Florida as of the date the employment begins. #LI-ONSITE Department Analytics & Integrated Planning Work Schedule Monday-Friday, 8:00 AM to 5:00 PM Type of Appointment Regular Expected Salary $75,809.00 to Negotiable Job Posting End Date 12-16-2024-12-00-AM Equal Employment Opportunity Statement: The University of Central Florida is an Equal Opportunity/Affirmative Action Employer including Disabled/Vets. Click on UCF's Equal Opportunity Statement to view the President's Statement. The UCF affirmative action plans for qualified individuals with disabilities and protected Veterans are available for inspection in the Office of Institutional Equity, Monday through Friday, from 9:00 a.m. to 5:00 p.m., upon request. As a Florida public university, UCF makes all application materials and selection procedures available to the public upon request. The University of Central Florida is proud to be a smoke-free campus and an E-Verify employer.

Job Title: Senior Digital and Predictive Analyst Location: Orlando, FL Duration: Fulltime Responsibilities <ul> <li>Behavioral analysis of website and/or mobile app usage across full digital ecosystem including transactional commerce flows and content consumption </li><li>Emphasis on friction point and journey analysis in support of experience improvement, persona development, demand, and conversion optimization questions </li><li>Potentially participate in predictive analytics deliverables including data exploration and feature development </li> <li>Ability to independently coordinate with Cast resources, effectively communicate analytical methods and synthesize findings </li></ul> Qualifications we seek in you! Minimum Qualifications / Skills <ul> <li>Bachelors degree in analytical/quantitative field e.g., statistics, economics, mathematics, marketing analytics, engineering, etc. </li><li>Relevant years of analytical and digital experience in relevant field </li><li>Primarily utilize Adobe toolsets (Workspace, CJA, etc.), but ability to work with raw and aggregate data in SQL would be ideal </li></ul> Preferred Qualifications/ Skills <ul> <li>Proficiency in, R, and/or Python programming languages </li><li>Interest in machine learning and artificial intelligence </li><li>Ability to excel in a fast-paced, complex, and ambiguous business environment </li><li>Ability to deliver work on-time </li><li>Team player mentality </li> <li>Get stuff done approach </li><li>Attentiveness to detail </li><li>Desire to learn and grow with an organization </li><li>Experience in hospitality and media industry is an advantage </li> </ul>

Job Title: Senior Digital and Predictive AnalystLocation: Orlando, FLDuration: Fulltime Responsibilities<ul><li>Behavioral analysis of website and/or mobile app usage across full digital ecosystem including transactional commerce flows and content consumption</li><li>Emphasis on friction point and journey analysis in support of experience improvement, persona development, demand, and conversion optimization questions</li><li>Potentially participate in predictive analytics deliverables including data exploration and feature development </li><li>Ability to independently coordinate with Cast resources, effectively communicate analytical methods and synthesize findings</li></ul> Qualifications we seek in you!Minimum Qualifications / Skills<ul><li>Bachelor’s degree in analytical/quantitative field – e.g., statistics, economics, mathematics, marketing analytics, engineering, etc.</li><li>Relevant years of analytical and digital experience in relevant field</li><li>Primarily utilize Adobe toolsets (Workspace, CJA, etc.), but ability to work with raw and aggregate data in SQL would be ideal</li></ul> Preferred Qualifications/ Skills<ul><li>Proficiency in, R, and/or Python programming languages</li><li>Interest in machine learning and artificial intelligence</li><li>Ability to excel in a fast-paced, complex, and ambiguous business environment</li><li>Ability to deliver work on-time</li><li>Team player mentality </li><li>“Get stuff done” approach</li><li>Attentiveness to detail</li><li>Desire to learn and grow with an organization</li><li>Experience in hospitality and media industry is an advantage</li></ul>

<div> <table> <tbody> <tr> <td> <ul> <li>DS algos for RNN GNN networks ML FLow knowledge of LLMs and embeddings.</li> <li>Being able to develop a production grade prediction ML model from several data sources with data in Azure blob/ Databricks</li> <li>Need to know how to execute A/B testing and prove quantitatve ML model improvements</li> <li>Stack: Azure DataBricks python optional: R</li> <li>Relevant 8 years in Python Development in Data Science Domain.</li> <li>Bachelors in a highly analytical discipline like Statistics Economics Computer Science Mathematics Operations Research etc.</li> </ul> Responsibilities <ul> <li>Hands on Experience in Python Development with an emphasis in Data Science & ETL.</li> <li>Build CI/CD pipelines orchestration by Azure devops or similar tools</li> <li>SQL Experience in Data Manipulation & Analysis.</li> <li>Data science models testing validation and tests automation</li> <li>Communicate with a team of data scientists data engineers and architect document the processes</li> </ul> Requirements <ul> <li>Overall 78 years of experience in machine learning projects endtoend.</li> <li>Advanced Python software development skills (Pandas NumPy Matplotlib SciPy SQLite 3 Native data structures in Python: Nested Lists Nested Dictionaries)</li> <li>Managing entire Data Science Life Cycle which includes Data Acquisition Data Cleaning & Engineering Features Scaling & Engineering Statistical Modelling (Decision Trees Regression Models Clustering etc)</li> <li>Expertise in transforming business requirements into analytical models designing algorithms building models developing data mining and reporting solutions across structured and unstructured data.</li> <li>Knowledge of machine learning frameworks: TensorFlow PyTorch Keras ScikitLearn</li> <li>Familiarization with Statistical Methods Analysis and theory (Linear Regression Confidence Intervals)</li> <li>Familiarization with M&S theory (Stochastic Deterministic Monte Carlo Heuristic Discrete Event)Experience in API integration and data feeds with social analytics(Facebook Instagram Twitter).</li> <li>Experience in Databricks Azure DataLake Gen2 and other Azure ML Services</li> <li>Built Python & Rest APIs to easily add data into the Data Models</li> </ul> </td> </tr> </tbody> </table> </div> Ability to understand tools used by data scientist and experience with software development and test automation RNN,GNN networks,,ML FLow,LLMs

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 .

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