1 month ago be among the first 25 applicants get ai-powered advice on this job and more exclusive features. about jobgether: jobgether is a talent matching platform that partners with companies worldwide to efficiently connect top talent with the rig...
This role is part of a dynamic data operations team at iqvia, focused on analyzing and resolving data discrepancies, writing and troubleshooting sql queries, and supporting data quality across healthcare analytics platforms. the team plays a critical...
New york / graduate / number of vacancies: 5 • statistical data processing (data mining)• artificial intelligence (ai), including generative ai• predictive modeling using machine learning and data science techniques• time-series modeling (arima and panel data models) and simulation models (monte carlo)• development, validation and audit of financial, risk, marketing and business-oriented models• r&d projects requirements recent graduates or final year students. postgraduate studies and/or specialised courses are an asset, especially in data science, quantitative finance or similar. should desirably have knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering, xgboost), statistical programming languages (sas, r, python, matlab), big data tools and platforms (hadoop, hive, etc.) and cloud platforms (aws, azure, gcp). solid academic record. knowledge of other languages is desirable. get-up-and-go attitude, maturity, responsibility and strong work ethic. strong ability to learn quickly. able to integrate easily into multidisciplinary teams. we offer the best environment to develop talent we offer you the possibility to join a firm that provides all you need to develop your talent to the fullest: working in the highest-profile consulting projects in the industry, for the largest companies, leaders of their respective markets, alongside top industry management as they face challenges at the national and global level, as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry o...
Sr. data engineer (@remote, chile and colombia) remote, chile and colombia we are looking for an experienced data engineer to work on building, operating, and scaling offerup’s batch and near real-time data processing platforms and tools that will power data-driven capabilities throughout the entire organization. this is a highly visible opportunity to build systems that drive the end user experience, as well as directly supporting backend engineers, business intelligence dashboards and reports, data analysts and data scientists. building the largest and most responsive mobile marketplace poses unique data challenges that require leveraging the latest developments in data infrastructure. we leverage open source infrastructure where we can, but are ready to build and share solutions if they don’t exist yet. come help us do that! this role is only available outside the us and not available to any individual based within the us or any us territory. here’s more of what you will get to do: be the technical lead on the team, owning the architecture of the data solutions, and the data platform. lead the team by example, mentor other engineers and help them with their growth. drive engineering best practices, set standards and propose larger projects which may require cross-team collaboration. design and develop applications to process large amounts of critical information in batch and near real-time to power user-facing features. influence technical direction for the company, leveraging your prior experiences and helping evaluate emerging technologies and approaches. help bring en...
Buenos aires / graduate / number of vacancies: 5 - statistical data processing (data mining)-predictive modeling using machine learning and data science techniques-trend modeling (time series, arima models)- development of simulation models (monte carlo)-review and validation of rating and scoring, raroc and risk parameter models- mathematical support to the business: developing algorithms, statistics and probability models- r&d projects requirements recent graduates or final year students. - should desirably have knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering), statistical programming languages (sas, r, python, matlab) and big data tools and platforms (hadoop, hive, etc.). - solid academic record. - postgraduate studies and/or specialised courses are an asset, especially in data science, quantitative finance or similar. - knowledge of other languages is desirable. - get-up-and-go attitude, maturity, responsibility and strong work ethic. - strong ability to learn quickly. - able to integrate easily into multidisciplinary teams. we offer the best environment to develop talent we offer you the possibility to join a firm that provides all you need to develop your talent to the fullest: working in the highest-profile consulting projects in the industry, for the largest companies, leaders of their respective markets, alongside top industry management as they face challenges at the national and global level, as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry o...
Join to apply for the senior data engineer role at capgemini engineering . get ai-powered advice on this job and more exclusive features. about the role data engineer (etl experience) choosing capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, supported by a collaborative community of colleagues worldwide, and able to reimagine what’s possible. join us to help the world’s leading organizations unlock the value of technology and build a more sustainable, inclusive world. location colombia responsibilities designing and developing hive code designing and developing automated solutions performance monitoring and tuning of existing automated jobs troubleshooting failures ad hoc analyses query data to answer business questions and support investigations engage with subject matter experts to develop metrics and kpis requirements advanced english skills (b2+) excellent communication skills thorough, detail-oriented, with strong note-taking abilities strong etl development background bash experience understanding of yarn and hdfs sql skills for analysis and investigation aws cloud experience is a plus (cloudwatch, lambda, emr, athena) analytical mindset and curiosity about data creative problem-solving skills driven, eager for opportunities ability to manage multiple projects and deadlines willingness to learn and grow technically what you’ll love about working here we support flexible work arrangements, including remote work and flexible hours, to promote wor...
Norway / graduate / number of vacancies: 5 you will be working on key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (monte carlo), review of credit rating and scoring models, and providing quantitative support to business and r&d projects. requirements recent graduates or final-year students in disciplines related to mathematics, physics, statistics, econometrics, or other quantitative fields. postgraduate studies or specialized courses are an asset, especially in data science, quantitative finance, or similar. knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering), statistical programming languages (sas, r, python, matlab), and big data tools/platforms (hadoop, hive, etc.) is desirable. solid academic record. knowledge of additional languages is a plus. proactive attitude, maturity, responsibility, and a strong work ethic. ability to learn quickly. ability to integrate easily into multidisciplinary teams. we offer the best environment to develop talent: work on high-profile consulting projects for the largest companies, leaders in their markets. collaborate with top industry management facing national and global challenges. be part of an extraordinary team whose values and culture set industry standards. ongoing training plan, with approximately 10% of business turnover dedicated to training: specialist courses, external expert courses, professional skills, and language courses. last year, our staff received over 375,000 hours of training across...
Estambul / graduate / number of vacancies: 2 you will be working in key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (monte carlo), review of credit rating and scoring models, and providing quantitative support to the business and r&d projects. requirements recent graduates or final year students. desirably have knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering), statistical programming languages (sas, r, python, matlab), and big data tools and platforms (hadoop, hive, etc.). solid academic record. postgraduate studies and/or specialized courses are an asset, especially in data science, quantitative finance, or similar fields. knowledge of other languages is desirable. get up and go attitude, maturity, responsibility, and strong work ethic. strong ability to learn quickly. able to easily integrate into multidisciplinary teams. we offer the best environment to develop talent: work on high-profile consulting projects for the largest companies, leaders of their respective markets. collaborate with top industry management facing national and global challenges. be part of an extraordinary team whose values and culture set industry benchmarks. ongoing training plan, with approximately 10% of business turnover spent on training: specialist knowledge courses, external expert courses, professional skills courses, and language courses. last year, our staff received over 375,000 hours of training across more than 150 courses. clearly defined career pla...
Netherlands / graduate / number of vacancies: 5 you will be working in key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (monte carlo), review of credit rating and scoring models and quant support to the business and r&d projects. requirements recent graduates or final year students from disciplines relating to mathematics, physics, statistics, econometrics or other quantitative fields. postgraduate studies and/or specialised courses are an asset, especially in data science, quantitative finance or similar. should desirably have knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering), statistical programming languages (sas, r, python, matlab) and big data tools and platforms (hadoop, hive, etc.). solid academic record. knowledge of other languages is desirable. get-up-and-go attitude, maturity, responsibility and strong work ethic. strong ability to learn quickly. able to integrate easily into multidisciplinary teams. we offer the best environment to develop talent we offer you the possibility to join a firm that provides all you need to develop your talent to the fullest: working in the highest-profile consulting projects in the industry, for the largest companies, leaders of their respective markets, alongside top industry management as they face challenges at the national and global level, as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry ongoing training plan, with approximat...
Estocolmo / graduate / number of vacancies: 2 you will be working on key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (monte carlo), review of credit rating and scoring models, and providing quantitative support to business and r&d projects. requirements recent graduates or final year students. desirably possess knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering), statistical programming languages (sas, r, python, matlab), and big data tools and platforms (hadoop, hive, etc.). solid academic record. postgraduate studies and/or specialized courses are an asset, especially in data science, quantitative finance, or similar. knowledge of other languages is desirable. proactive attitude, maturity, responsibility, and a strong work ethic. ability to learn quickly. able to integrate easily into multidisciplinary teams. we offer the best environment to develop talent: work on high-profile consulting projects for major companies, leaders in their markets. collaborate with top industry management facing national and global challenges. be part of an extraordinary team whose values and culture set industry benchmarks. ongoing training plan, dedicating approximately 10% of business turnover to training, including specialist knowledge courses, external expert courses, professional skills courses, and language courses. last year, our staff received over 330,000 hours of training across more than 150 courses. career development clearly defined career plans w...
Johannesburgo / graduate / number of vacancies: 2 you will be working on key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (monte carlo), review of credit rating and scoring models, and providing quantitative support to business and r&d projects. requirements recent graduates or final year students. knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering), statistical programming languages (sas, r, python, matlab), and big data tools and platforms (hadoop, hive, etc.) is desirable. solid academic record. postgraduate studies and/or specialized courses in data science, quantitative finance, or similar are an asset. knowledge of other languages is a plus. proactive attitude, maturity, responsibility, and strong work ethic. ability to learn quickly. ability to integrate easily into multidisciplinary teams. we offer the best environment to develop your talent, including: participation in high-profile consulting projects for major companies, working alongside top industry management facing national and global challenges, being part of an extraordinary team with values and culture that set industry standards. ongoing training plan, with approximately 10% of business turnover invested in training, including specialist knowledge courses, external expert courses, professional skills courses, and language courses. last year, our staff received over 375,000 hours of training across more than 150 courses. career development clear career path with internal prom...
Senior data quality engineer (databricks, aws) senior data quality engineer (databricks, aws) 2 weeks ago be among the first 25 applicants get ai-powered advice on this job and more exclusive features. epam is a leading global provider of digital platform engineering and development services. we are committed to having a positive impact on our customers, our employees, and our communities. we embrace a dynamic and inclusive culture. here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. no matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. we are looking for a remote senior data quality engineer with experience in dse python and aws databricks. the successful candidate need have someone with strong analytical skills, excellent communication skills. responsibilities ensure data quality and integrity across all platforms and systems collaborate with cross-functional teams to design and implement data management develop and execute test scenarios to validate data management systems provide technical guidance and mentorship to junior team members work directly with customers to validate data requirements and manage data quality issues requirements 3+ years of experience in data software engineering strong working knowledge of dse python, aws databricks and apache spark familiarity with testin...
Direct message the job poster from capgemini engineering organizacional & clinical psychologist | it sourcing | human resources | bilingual | head hunting | fintech | talent acquisition | personal and… descripción breve choosing capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. location: colombia responsibilities designing and developing hive code designing and developing automated solutions performance monitoring and tuning of existing automated jobs troubleshooting failures ad hoc analyses query data to answer business questions and to support investigations engage with subject matter experts to develop metrics and key performance indicators required skills bachelor of science in engineering education english level b2 outstanding ability to communicate clearly and concisely thorough, take detailed notes and capture correct information strong etl development background bash experience understanding of yarn and hdfs experience with sql for analysis and data investigation aws cloud experience a plus, but not required (cloudwatch, lambda, emr, athena) seniority level seniority level entry level employment type employment type full-time job function job function information t...
You will be working on key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (monte carlo), review of credit rating and scoring models, and quantitative support to the business and r&d projects. requirements recent graduates or final year students. desirable knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering), statistical programming languages (sas, r, python, matlab), and big data tools and platforms (hadoop, hive, etc.). solid academic record. strong computer skills. postgraduate studies and/or specialized courses are an asset, especially in data science, quantitative finance, or similar fields. knowledge of other languages is desirable. get-up-and-go attitude, maturity, responsibility, and strong work ethic. strong ability to learn quickly. able to integrate easily into multidisciplinary teams. we offer the best environment to develop talent we offer you the possibility to join a firm that provides all you need to develop your talent to the fullest: working on the highest-profile consulting projects in the industry, for the largest companies, leaders of their respective markets, alongside top industry management as they face challenges at the national and global level, as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry. ongoing training plan approximately 10% of business turnover is spent on training: specialist knowledge courses, external expert courses, professiona...
Milan / graduate / number of vacancies: 5 you will be working in key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (monte carlo), review of credit rating and scoring models and quant support to the business and r&d projects. requirements recent graduates or final year students from disciplines relating to mathematics, physics, statistics, econometrics or other quantitative fields. a master's degree qualification will be taken into account when determining salary conditions. postgraduate studies and/or spe cialised courses are an asset, especially in data science, quantitative finance or similar. should desirably have knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering), statistical programming languages (sas, r, python, matlab) and big data tools and platforms (hadoop, hive, etc.). solid academic record. knowledge of other languages is desirable. get-up-and-go attitude, maturity, responsibility and strong work ethic. strong ability to learn quickly. able to integrate easily into multidisciplinary teams. we offer the best environment to develop talent we offer you the possibility to join a firm that provides all you need to develop your talent to the fullest: working in the highest-profile consulting projects in the industry, for the largest companies, leaders of their respective markets, alongside top industry management as they face challenges at the national and global level, as part of an extraordinary team of professionals whose values and ...
Buenos aires / graduate / number of vacancies: 5 you will be working in key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (monte carlo), review of credit rating and scoring models and quant support to the business and r&d projects. requirements recent graduates or final year students from disciplines relating to mathematics, physics, statistics, econometrics or other quantitative fields. postgraduate studies and/or specialised courses are an asset, especially in data science, quantitative finance or similar. should desirably have knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering), statistical programming languages (sas, r, python, matlab) and big data tools and platforms (hadoop, hive, etc.). solid academic record. knowledge of other languages is desirable. get-up-and-go attitude, maturity, responsibility and strong work ethic. strong ability to learn quickly. able to integrate easily into multidisciplinary teams. we offer the best environment to develop talent we offer you the possibility to join a firm that provides all you need to develop your talent to the fullest: working in the highest-profile consulting projects in the industry, for the largest companies, leaders of their respective markets, alongside top industry management as they face challenges at the national and global level, as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry ongoing training plan, with approxima...
Role and responsibilities • perform data analysis and troubleshooting on open incident / issue • explore the data and understand if any discrepancy is found • document, communicate and analyze data discrepancy. • knowledge of operational processes (e.g. itil) • identify any issue on programming code and provide the technical solution/workaround. • effectively articulate findings or results, data trends and able to come up conclusions. • create sql database queries to verify published data requests, retrieve specific data sets and results as needed for validation purposes. qualifications and education requirements bachelor’s degree in computer science/information technology/engineering or equivalent. required qualifications include hands-on experience with technologies: databricks hadoop spark (scala-based for reading and understanding code) pyspark python snowflake kubernetes 2-3 years sql programming and writing queries preferred qualifications : hands on experience with technologies: hive, impala, dbeaver, kafka, cml, java healthcare knowledge • demonstrates strong problem solving and business analytical skills. • demonstrates strong understanding of complex concepts and processes. • has initiative to learn and is self-motivated to attend to client needs and resolve concerns with minimal supervision. • ability to communicate effectively with various levels of the organization. • strong organizational and time management skills are required. • proficiency in ms office applications especially in excel (perform data quality analysis) is essential. • good team player ...
You will be working on key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (monte carlo), review of credit rating and scoring models, and providing quantitative support to business and r&d projects. requirements recent graduates or final-year students. desirable to have knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering), statistical programming languages (sas, r, python, matlab), and big data tools/platforms (hadoop, hive, etc.). solid academic record. postgraduate studies and/or specialized courses are an asset, especially in data science, quantitative finance, or similar fields. knowledge of other languages is desirable. positive attitude, maturity, responsibility, and a strong work ethic. ability to learn quickly. ability to integrate easily into multidisciplinary teams. we offer the best environment to develop talent: work on high-profile consulting projects for the largest companies, leaders in their markets. collaborate with top industry management facing national and global challenges. be part of an extraordinary team whose values and culture set industry standards. ongoing training plan, with approximately 10% of business turnover dedicated to training: specialist knowledge courses, external expert courses, professional skills, and language courses. last year, our staff received over 375,000 hours of training across more than 150 courses. clear career path with internal promotion based on merit, and a partnership-based management model ...
About truelogic at truelogic we are a leading provider of nearshore staff augmentation services headquartered in new york. for over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals. our team of 600+ highly skilled tech professionals, based in latin america, drives digital disruption by partnering with u.s. companies on their most impactful projects. whether collaborating with fortune 500 giants or scaling startups, we deliver results that make a difference. by applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. we aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future. our client an it company dedicated to building innovative and scalable solutions that optimize data processing and analytics, fostering a culture of continuous learning, collaboration, and proactive problem-solving. job summary we are looking for a semi-senior pyspark data engineer who is eager to learn, take initiative, and contribute to the development of high-performance and scalable data pipelines. this role is perfect for someone who wants to enhance their technical skills while working on exciting projects within a collaborative team. responsibilities design, develop, and optimize data pipelines using pyspark and apache spark. integrate and process data from multiple sources...
Lima / graduate / number of vacancies: 5 you will be working in key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (monte carlo), review of credit rating and scoring models and quant support to the business and r&d projects. requirements final year students from disciplines relating to mathematics, physics, statistics, econometrics or other quantitative fields. postgraduate studies and/or specialised courses are an asset, especially in data science, quantitative finance or similar. should desirably have knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering), statistical programming languages (sas, r, python, matlab) and big data tools and platforms (hadoop, hive, etc.). solid academic record. knowledge of other languages is desirable. get-up-and-go attitude, maturity, responsibility and strong work ethic. strong ability to learn quickly. able to integrate easily into multidisciplinary teams. we offer the best environment to develop talent we offer you the possibility to join a firm that provides all you need to develop your talent to the fullest: working in the highest-profile consulting projects in the industry, for the largest companies, leaders of their respective markets, alongside top industry management as they face challenges at the national and global level, as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry ongoing training plan, with approximately 10% of business turnove...
Miami / graduate / number of vacancies: 2 • statistical data processing (data mining) • artificial intelligence (ai), including generative ai • predictive modeling using machine learning and data science techniques • time-series modeling (arima and panel data models) and simulation models (monte carlo) • development, validation and audit of financial, risk, marketing and business-oriented models • r&d projects requirements recent graduates or final year students. postgraduate studies and/or specialised courses are an asset, especially in data science, quantitative finance or similar. knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering, xgboost), statistical programming languages (sas, r, python, matlab), big data tools and platforms (hadoop, hive, etc.), and cloud platforms (aws, azure, gcp). solid academic record. knowledge of other languages is desirable. get-up-and-go attitude, maturity, responsibility and strong work ethic. strong ability to learn quickly. able to easily integrate into multidisciplinary teams. we offer the best environment to develop talent we offer you the possibility to join a firm that provides all you need to develop your talent to the fullest: working on high-profile consulting projects for the largest companies, leaders in their markets, with top industry management facing national and global challenges, as part of an extraordinary team of professionals whose values and culture set industry standards. ongoing training plan, with approximately 10% of business turnover spent on training: 600 hours of...
A career in ibm consulting is rooted by long-term relationships and close collaboration with clients across the globe. you'll work with visionaries across multiple industries to improve the hybrid cloud and ai journey for the most innovative and valuable companies in the world. your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the ibm portfolio; including software and red hat. curiosity and a constant quest for knowledge serve as the foundation to success in ibm consulting. in your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. your role and responsibilities a professional with over 10 years of experience leading digital transformation initiatives, he specializes in the design and implementation of scalable and secure data architectures and artificial intelligence solutions. he combines a solid technical background with strategic skills to align technological solutions with business objectives. experience and notable achievements: technical leadership: led pre-sales engineering teams, including recruiting, training, and talent development, ensuring the delivery of high-quality solutions aligned with client needs. solution design...
You will be working on key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (monte carlo), review of credit rating and scoring models, and providing quant support to business and r&d projects. requirements recent graduates or final year students. knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering), statistical programming languages (sas, r, python, matlab), and big data tools/platforms (hadoop, hive, etc.) is desirable. solid academic record. postgraduate studies or specialized courses in data science, quantitative finance, or similar are an asset. knowledge of other languages is a plus. proactive attitude, maturity, responsibility, and strong work ethic. quick learner with the ability to adapt and integrate into multidisciplinary teams. we offer the best environment to develop your talent: participation in high-profile consulting projects for major companies and industry leaders. collaborate with top management facing national and global challenges. be part of a professional team with strong values and a reputable corporate culture. ongoing training, with approximately 10% of business turnover invested in development: specialist courses, external expert sessions, professional skills, and language training. last year, staff received over 375,000 hours of training across more than 150 courses. all senior consultants are enrolled in a business training program offered by insper. clear career progression: internal promotions based on merit. partners...
London / internship / number of vacancies: 2 you will be working on key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (monte carlo), review of credit rating and scoring models, and providing quantitative support to business and r&d projects. requirements recent graduates or final year students in disciplines related to mathematics, physics, statistics, econometrics, or other quantitative fields. postgraduate studies or specialized courses in data science, quantitative finance, or similar are an asset. knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering), statistical programming languages (sas, r, python, matlab), and big data tools/platforms (hadoop, hive, etc.). solid academic record. knowledge of additional languages is desirable. proactive attitude, maturity, responsibility, and strong work ethic. ability to learn quickly. ability to integrate easily into multidisciplinary teams. what we offer the best environment to develop your talent: work on high-profile consulting projects for major companies leading their markets. collaborate with top industry management on national and global challenges. be part of an extraordinary team whose values and culture set industry standards. ongoing training, with about 10% of business turnover invested in development: specialist courses, external expert courses, professional skills, and language training. last year, staff received over 375,000 hours of training across more than 150 courses. clear career pro...
Ecuador / graduate / number of vacancies: 2 you will be working in key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (monte carlo), review of credit rating and scoring ...
La corporación unificada nacional de educación superior. cun, es una institución de carácter privado, constituida como persona jurídica de utilidad común, sin ánimo de lucro, que en sus treinta años de existencia ha consolidado a través de ellos un. ...
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