Job DetailsJob Location: USA Remote - Nashville, TN 37203Position Type: InternshipJob Category: Intern Position Overview We are seeking a motivated and intellectually curious Data Science Intern with a strong interest in machine learning, artificial intelligence, and big data analytics. This role is ideal for students who are passionate about turning complex data into actionable intelligence and scalable data-driven solutions. Key Responsibilities Develop and document Machine Learning models for accuracy, performance, and reliability. Work closely with the team to understand requirements and enhance model quality. Support the development of data intelligence solutions, dashboards, or analytical reports for business and technical stakeholders. Assist in the development and execution of test plans, test cases, and test scripts for the project. Perform manual/auto testing on new features and functionalities. Help identify, report, and track defects and issues found during ML models testing. QualificationsQualifications Currently enrolled in a related degree program Knowledge in programming languages such as Python, SQL, or R. Familiarity with ML libraries like scikit-learn, PyTorch, or TensorFlow. Previous project experience with time-series forecasting or large language models (LLMs) is preferred. Requirements Basic understanding of software development, Machine Learning and testing concepts. Strong analytical and problem-solving skills. Ability to manage time effectively and prioritize tasks with the team. More Details This role will be paid at 18 an Hr. Full time 35-40 hours The program will run for 10-12 weeks depending on availability

Job DetailsJob Location: USA Remote - Nashville, TN 37203Position Type: InternshipJob Category: Intern Position Overview This internship offers hands-on experience supporting data preparation and operational workflows that enable accurate metering. The intern will work closely with Product Managers, Data Analysts, and Business Operations teams to ensure course-to-product mappings and subscription rules are accurate, complete, and consistently maintained across systems. Through this role, the intern will gain exposure to corporate applications, Salesforce-based workflows, data quality validation, and cross-functional collaboration. Depending on interest, skill set, and learning pace, the role may expand into light data analysis and reporting using tools such as Excel, SQL, or internal dashboards. Key Responsibilities Support data preparation and cleanup activities related to subscription products for automated metering Cross-check and validate course-to-product mapping data across multiple data sources Communicate with Product Managers and stakeholders to confirm mapping accuracy Document data definitions, processes, and updates to ensure clarity and consistency Collaborate with team members on ad hoc operational or data-related tasks as skills develop QualificationsQualifications Currently pursuing a bachelor’s or master’s degree in a relevant field Academic or project-based exposure to data, systems, or business operations concepts Familiarity with excel spreadsheets and basic data organization concepts Interest in learning how enterprise systems and workflows function in a corporate environment Requirements Strong Excel skills (formulas, filtering, data cleanup) Ability to learn internal systems such as Salesforce and subscription management tools Basic understanding of data structures, or relational concepts is a plus SQL or reporting tool exposure is a plus but not required Strong attention to detail and data accuracy Highly organized with the ability to track details across multiple systems, data sources, and stakeholders Ability to follow defined processes and document work clearly Comfortable asking questions and collaborating across teams Ability to manage multiple tasks and prioritize effectively Strong written and verbal communication skills More Details This role will be paid at 18 an Hr. Full time 35-40 hours The program will run for 10-12 weeks depending on availability

• Contributing to team and department solution design architecture • Developing and implementing appropriate standards and strategies for all sources of data • Key contributor for data stewardship workgroups and teams in data management and governance activities • Champion of metadata and data quality practices across the organization • Perform analysis and research to support and/or develop glossary definitions, policies, programs, standards, guidelines, and workflows • Lead the development and maintenance of metadata catalogs • Identify and quantify data related pain points within the organization and assist in the development of remediation plans • Collaborate with SMEs to develop business rules that measure and assure data quality • Lead efforts to quantify and qualify reported data quality issues; develop and report program metrics to demonstrate progress and compliance

*]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" data-turn-id="request-WEB:e1616a5d-2c89-4a3f-b130-a59b6b598eb5-7" data-testid="conversation-turn-2" data-scroll-anchor="true" data-turn="assistant">CTG is seeking an experienced MDM Data Engineer to support enterprise data initiatives for our client. This role focuses on Reltio MDM configuration, data integration, and data quality management within a modern data ecosystem. Location: RemoteDuration: 8 months Key Responsibilities: - Configure and manage Reltio MDM, including Business Model and Match/Merge rules - Design and develop ETL pipelines for data ingestion and transformation - Ensure data quality, consistency, and governance across systems - Perform data profiling, cleansing, and analysis - Collaborate with cross-functional teams to define and manage master data - Troubleshoot and resolve complex data issues Required Skills & Experience: - 5–10 years of experience in MDM, SQL, RDBMS, and data management - Strong hands-on experience with Reltio (required) - Experience with ETL tools and Big Data environments - Solid understanding of data quality and metadata management - Strong SQL and analytical skills - Ability to work effectively in a collaborative team environment Preferred Qualifications: - Experience with Informatica MDM (on-prem) - Life sciences industry background - Reltio Certified Associate or other MDM certifications Education: - Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field (or equivalent experience) Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services for this role. To Apply:To be considered, please apply directly to this requisition using the link provided. For additional information, please contact Nicole Shaw at Nicole.Shaw@ctg.com. Kindly forward this to any other interested parties. Thank you! The expected base salary for this position ranges from $85,000 to $92,000. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. In addition to salary, a competitive benefit package is also offered. About CTG CTG, a Cegeka company, delivers IT and business solutions that enhance clients’ digital agility, empowering them to seize new opportunities and overcome any challenge. Backed by more than 60 years’ experience and a commitment to being a reliable, results-driven partner, we work shoulder to shoulder with clients to shape digital together. Our vision is to be an indispensable partner to our clients and the preferred career destination for digital and technology experts. With more than 9,000 team members in over 15 countries, we combine global expertise with local insight to deliver innovative solutions. We operate across the Americas, Europe, and India, working with over 3,000 clients in many of today's highest-growth industries. Together, we shape what’s next—working shoulder to shoulder to deliver impactful solutions for our clients and society. Our culture is built by the people who work at CTG, the values we hold, and the actions we take. It's a living, breathing thing that is renewed every day through the ways we engage with each other, our clients, and our communities. At CTG, you’ll find a workplace where you are encouraged to grow, supported in your ambitions, and empowered to shape your own career journey. For more information, visit www.ctg.com. CTG will consider for employment all qualified applicants including those with criminal histories in a manner consistent with the requirements of all applicable local, state, and federal laws. CTG is an Equal Opportunity Employer. CTG will assure equal opportunity and consideration to all applicants and employees in recruitment, selection, placement, training, benefits, compensation, promotion, transfer, and release of individuals without regard to race, creed, religion, color, national origin, sex, sexual orientation, gender identity and gender expression, age, disability, marital or veteran status, citizenship status, or any other discriminatory factors as required by law. CTG is fully committed to promoting employment opportunities for members of protected classes.