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 busin...
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 role in ensuring data integrity and operational efficiency, directly contributing to iqvia’s mission of advancing healthcare through data-driven insights. 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 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 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 approximately ...
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 right opportunities through ai-driven job matching. one of our companies is currently looking for a senior data engineer in latam . we are seeking a highly experienced senior data engineer who thrives in a collaborative, high-performance environment and is passionate about building robust, scalable data systems. you will work at the core of the engineering team, designing and maintaining complex backend systems and data pipelines that power mission-critical applications. this is a hands-on position involving everything from architecture to deployment and performance tuning. if you enjoy working with big data technologies, functional programming, and solving technical challenges across cloud environments, this is your opportunity to drive impact in a fast-paced, product-oriented team. accountabilities: design and maintain scalable backend systems and data pipelines for batch and real-time processing own full project lifecycles from architecture through deployment and monitoring collaborate with product managers, ux designers, and engineering teams to deliver high-quality, data-driven solutions write clean, testable, and well-documented code following best software engineering practices review code, define technical direction, and enforce coding standards mentor fellow engineers and contribute to knowledge-sharing across ...
Rome / 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 approximately 10%...
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 approximately 10% of business turnover spent in training s...
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 from disciplines related to mathematics, physics, statistics, econometrics, or other quantitative fields. a master's degree may influence salary conditions. postgraduate studies and specialized courses, especially in data science, quantitative finance, or similar, are assets. 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). solid academic record. knowledge of additional languages is desirable. proactive attitude, maturity, responsibility, and strong work ethic. quick learner with the ability to integrate into multidisciplinary teams easily. we offer the best environment to develop your talent: participation in high-profile consulting projects for major companies and industry leaders. collaboration with top management on national and global challenges. part of a professional team with values and culture benchmarked in the industry. ongoing training, with about 10% of business turnover invested in training: 600 hours of training in the first two years. specialist, external expert, professional skills, and language courses. last year, over 375,000 hours of training across more than 150 courses for sta...
Data engineer ii (@remote, chile and colombia) join to apply for the data engineer ii (@remote, chile and colombia) role at offerup data engineer ii (@remote, chile and colombia) 2 days ago be among the first 25 applicants join to apply for the data engineer ii (@remote, chile and colombia) role at offerup 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: design and develop applications to process large amounts of critical information to power analytics and user-facing features. monitor and resolve data pipeline or data integrity issues. work across multiple teams to understand their data needs. maintain and expand our data infrastructure. you’ll thrive in this role if you have 3+ years of pro...
Columbus / 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 on...
Madrid / 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 quant 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. a master's degree may influence salary conditions. postgraduate studies or specialized courses in data science, quantitative finance, or similar are assets. knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering), statistical programming languages (sas, r, python, matlab), and big data tools (hadoop, hive) is desirable. strong academic record. knowledge of additional languages is a plus. proactive attitude, maturity, responsibility, and a strong work ethic. quick learner. ability to work well in multidisciplinary teams. we offer the best environment to develop your talent: work on high-profile consulting projects for major companies and market leaders. collaborate with top industry management on national and global challenges. be part of a team whose values and culture set industry standards. ongoing training plan, dedicating approximately 10% of business turnover: 600 hours of training in the first two years. specialist, external expert, professional skills, and language courses. over 375,000 hours of training across more than 150 courses last year. enrollment in ...
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...
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 ...
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...
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