[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Cemex jobs](https://jobs.opennash.com/companies/cemex/) · [Search jobs](/search/) Cemex # (CEN) Global Data Science Intern San Pedro Garza García, Nuevo Leon Early career Data & Analytics Listed on Cemex’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there. [Apply on Cemex’s careers site →](https://jobs.cemex.com/job/San-Pedro-Garza-Garc%C3%ADa-%28CEN%29-GLOBAL-DATA-SCIENCE-INTERN-Nuev-66215/1435870033/) [OpenNash Jobs](https://jobs.opennash.com/) / [Cemex](https://jobs.opennash.com/companies/cemex/) / (CEN) Global Data Science Intern ## Job description ### Name of the Project Global Data Science Intern Vice Presidency: Digital Enablement Region: Central Intern’s Location (Office): Campus CX Eligible Semester(s): 5th - 8th semester Careers of Interest: Data Science, Computer Engineering, Software Engineering, Mathematics, Actuarial, Industrial Engineering, Systems Engineering, Physics, Mechatronics, Artificial Intelligence Engineering Schedule Availability: Between 25 and 30 hours per week Period of Stay at CEMEX: 6 months, with the option of renewal Tentative Start Date: October 2026 Project Objective Actively contribute to the development of end‑to‑end analytical solutions for real business use cases in the Supply Chain domain, covering the full lifecycle from data exploration and modeling to production deployment and result consumption, with technical mentorship and guidance from the Global Data Science team. Challenges for the Students Understanding and translating real business problems into data driven solutions. Working with complex, large scale datasets and ensuring data quality, consistency, and reliability. Generating tangible business value. Developing analytical solutions that go beyond experimentation, considering scalability, maintainability, and usability. Collaborating effectively within a multidisciplinary, global team and adapting to agile ways of working. Applying modern data science best practices, including reproducibility, documentation, and code quality. Learning and using an enterprise grade data science stack Main Responsibilities and Activities to Be Carried Out Process, clean, and validate data, ensuring data quality and reliability for analytical and modeling purposes. Conduct exploratory data analysis to generate insights and support decision‑making through analytical outputs and visualizations. Formulate hypotheses, design analytical approaches, and apply statistical techniques to validate results. Perform feature engineering and data preparation to support predictive and prescriptive modeling efforts. Develop, evaluate, and iterate on predictive or prescriptive models using machine learning or other advanced AI techniques. Contribute to the full lifecycle of Data Science solutions, including documentation, validation, and preparation for production deployment. Apply Data Science and Software Engineering best practices, including reproducibility, version control, and clear technical documentation. Specific Requirements / Qualifications Required Strong analytical and problem solving skills, with the ability to break down complex business problems into structured analytical tasks. Proficiency in Python, with the ability to write clean, reusable, and well structured code for data analysis and modeling. Solid knowledge of SQL. Ability to communicate insights effectively through data storytelling, using clear analysis and visual outputs. Strong collaboration skills and the ability to work effectively within a team oriented, agile environment. High level of attention to detail and a structured approach to problem solving. English proficiency sufficient for technical and professional communication in a global team. Familiarity with version control tools (e.g., Git). ### Nice to Have Familiarity with Snowflake or other analytical data warehouses. Knowledge of web applications development REST APIs, HTML and/or CSS. Knowledge or practical experience in simulation techniques (e.g., discrete‑event simulation, Monte Carlo simulation). Knowledge or practical experience in optimization methods, such as linear, integer, or nonlinear optimization, heuristics, or metaheuristics. Familiarity with optimization or simulation libraries/tools (e.g., OR‑Tools, PuLP, Gurobi, CPLEX, SimPy, or similar). Experience with data visualization tools such as Power BI or Tableau. Exposure to AI models beyond academic coursework. Experience working with enterprise grade data platforms or cloud based analytical environments. (Azure, AWS, etc.) ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 18, 2026 - Listed for: 7 days - Location: San Pedro Garza García, Nuevo Leon[Apply on Cemex’s careers site →](https://jobs.cemex.com/job/San-Pedro-Garza-Garc%C3%ADa-%28CEN%29-GLOBAL-DATA-SCIENCE-INTERN-Nuev-66215/1435870033/) ## More jobs at Cemex ### [(CEN) Aggregates Digitalization Program - Internal Communication Intern](https://jobs.opennash.com/companies/cemex/jobs/a134bfb19fe5afea6310/) San Pedro Garza García, Nuevo Leon ### [(CEN) Sustainability Strategic Analysis AND Data Integration Intern](https://jobs.opennash.com/companies/cemex/jobs/e38ca1350dc94b32780f/) San Pedro Garza García, Nuevo Leon ### [(CEN) Analyst Corporate Business Development](https://jobs.opennash.com/companies/cemex/jobs/31484035f63ae89ba237/) San Pedro Garza García, NLE, MX ### [(CEN) Analyst Workflows](https://jobs.opennash.com/companies/cemex/jobs/aa2058d08e44d3abc9d8/) Monterrey, NLE, MX ## Similar jobs at other companies ### [S&C Global Network - AI - CMT - Consultant Data Science](https://jobs.opennash.com/companies/accenture/jobs/3052805372fce65d0af3/) Accenture ### [S&C Global Network - AI - Hi Tech - Data Science Consultant](https://jobs.opennash.com/companies/accenture/jobs/cfc7e41878cbddd568ad/) Accenture ### [BIU:Data Science-Alternate Data](https://jobs.opennash.com/companies/axis-bank/jobs/318ebdc31d9b45182350/) Axis Bank · Mumbai ### [Global Life Science Vertical Lead – SI Buildings80-100%](https://jobs.opennash.com/companies/siemens/jobs/a02eef7b9d3aae05feb9/) Siemens ### [Lead Data Science in Toronto, Canada | Data Science at eBay](https://jobs.opennash.com/companies/ebay/jobs/404253f5eb02d7b6af7a/) eBay · Toronto, Canada OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)