Warsaw / graduate / number of vacancies: 5 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 techniqu...
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...
Requisition id : 227536 thanks for your interest in scotiatech, scotiabank's new and innovative technology hub in bogota. join a purpose driven winning team that promotes creativity and innovation in a fast-paced environment, where we’re always committed to results, in an inclusive, diverse, and high-performing culture. purpose join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. the data science role contributes to the overall success of the fraud management group globally ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. ensure all activities conducted are within compliance of governing regulations, internal policies, and procedures. accountabilities - champions a customer focused culture to deepen client relationships and leverage broader bank relationships, systems and knowledge. - collaborate with stakeholders including operations, analytics and data science partners, as well as scotia digital and it&s; partners to identify opportunities and drive business value in reducing fraud risks by leveraging data science - leverage distributed computing tools (e.g. beam, bigquery, hive, spark) for analysis, data mining and modeling - collaborate with technology / engineering, analytics, and operational teams to deploy fraud detection and prevention models and algorithms in production across different products and channels - create and apply model validation strategies to measure model effectiveness, conduct a / b testing, and make o...
Rome / 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 from disciplines related to mathematics, physics, statistics, econometrics, or other quantitative fields. - postgraduate studies and/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 and platforms (hadoop, hive, etc.). - solid academic record. - knowledge of other languages is desirable. - 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 are 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. ...
Compartir oferta compartir oferta 1886532241 vence 20 ago 2025 2025-8-20 20/08/2025 job title: database migration engineer- latam location: bogotá, colombia (on-site) about the role we are looking for a database migration engineer to support the migration of databases and data warehouse systems to the cloud. this position plays a key role in designing and executing comprehensive migration strategies while ensuring performance, reliability, and minimal business disruption. key responsibilities 1. project planning & analysis - lead the end-to-end migration of databases and data warehouses to the cloud. - conduct technical evaluation and analysis of source systems. - define project scope, assess risks, and develop detailed migration plans. 2. migration design & execution - design and implement the architecture for target systems based on customer business needs. - execute migration tasks, including: - object migration (tables, views, procedures, triggers) - structure and schema replication - data mapping and transformation - business logic and stored procedure adaptation - performance tuning and optimization 3. cutover & validation - develop and manage cutover strategies, including rollback plans. - oversee system validation and customer acceptance testing. - ensure a seamless transition with minimal business impact. requirements education & experience - bachelor’s degree in computer science or a related field (or equivalent practical experience). technical skills - strong hands-on experience in database migration and data warehousing. ...
Lisbon / 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 an...
Data science consultant milan - categorie protette milan / graduate / number of vacancies: 2 announcement reserved for candidates belonging to protected categories (disabled workers l.68/99 art. 1). 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 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 and/or specialized courses, especially in data science, quantitative finance, or similar, are an asset. - knowledge of other languages is desirable. - 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: - working on high-profile consulting projects for the largest companies in their markets. - collaborating with top industry management on national and global challenges. - being part of an extraordinary team whose values and culture set industry standards. ongoing training, with approximately 10% of business turnover invested in training: - specialist knowledge courses, external expert course...
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 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 high-profile consulting projects for the largest companies, leaders of their 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 th...
Importante plataforma líder de comercio electrónico en américa latina solicita: ingeniero de sistemas o a fines. **6** años de experiência en roles similares.** puesta productiva de modelos feature engineering técnicas de escalado y transformación de datos. transformers y embeddings. análisis de datos. capacidad de detectar datos extraños o anómalos. visualización de datos, métricas de centralidad y dispersión. distribución normal, binomial, logarítmica. manejo de etl - diseño de procesos robustos (fail safe) de movimientos de datos desde distintos orígenes (transaccional, streaming, nosql, etc) a distintos destinos (files, tablas dw, tablas hive). experiência big data - conocimiento del entorno google cloud (bigquery). contrato indefinido directo con la compañía. horario de 8:00 am a 5:30 pm lunes a viernes, salario: a convenir más todas las prestaciones de ley y otros beneficios. primeros 3 meses hibrida, después 100% remoto solo aplica personal que viva en bogotá. medellín o cali....
Press tab to move to skip to content link select how often (in days) to receive an alert: thanks for your interest in scotiatech, scotiabank's new and innovative technology hub in bogota. join a purpose driven winning team that promotes creativity and innovation in a fast-paced environment, where we’re always committed to results, in an inclusive, diverse, and high-performing culture. purpose join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. the data science role contributes to the overall success of the fraud management group globally ensuring specific individual goals, plans, initiatives are executed/delivered in support of the team’s business strategies and objectives. ensure all activities conducted are within compliance of governing regulations, internal policies, and procedures. accountabilities - champions a customer focused culture to deepen client relationships and leverage broader bank relationships, systems and knowledge. - collaborate with stakeholders including operations, analytics and data science partners, as well as scotia digital and it&s; partners to identify opportunities and drive business value in reducing fraud risks by leveraging data science - leverage distributed computing tools (e.g. beam, bigquery, hive, spark) for analysis, data mining and modeling - collaborate with technology / engineering, analytics, and operational teams to deploy fraud detection and prevention models and algorithms in production across different products and channels - create and apply model validation...
**responsabilidades e atribuições** - evaluar y planificar estrategias de ventas para tu cartera y mercado de actuación; - alcanzar las metas y kpis definidos por el gestor del área; - analizar informes mensuales del pipeline de ventas, con leads calificados, oportunidades ganadas y perdidas; - responsable de participar en eventos, ferias, congresos siempre que sea necesario; - informar anticipadamente sobre cualquier oportunidad de negocio, competencia e inteligencia comercial; - hacer seguimiento del rendimiento de tus ventas y la satisfacción de tus clientes, trabajando conjuntamente con captación de hoteles, implementation success y customer success para identificar oportunidades de mejora; - utilizar a diario sistemas y plataformas disponibles para cumplir plenamente con tu función (por ejemplo: salesforce, bi microsoft, office 365, entre otros, analisis de datos); - realizar otras actividades indicadas por el líder del área. **requisitos e qualificações** - experiência atención al cliente - experiência en el área de hotelería y/o turismo - buena comunicación - estratégico - perfil analítico - comprensión de lectura - trabajo en equipo - curiosidad - flexibilidad grupo hive, uno de los mayores grupos de tecnología hotelera en américa latina, consolida la experiência y conocimiento en distribución de **omnibees** con nuevas empresas capaces de generar mejores soluciones para la industria de viajes**:bee2pay**, una travel fintech que desarrolla soluciones de pagos exclusivas para el sector, y **niara**, que crea soluciones tecnológicas para potenciar y...
Compartir oferta compartir oferta 1886532241 vence 20 ago 2025 2025-8-20 20/08/2025 job title: database migration engineer- latam location: bogotá, colombia (on-site) about the role we are looking for a database migration engineer to support the migration of databases and data warehouse systems to the cloud. this position plays a key role in designing and executing comprehensive migration strategies while ensuring performance, reliability, and minimal business disruption. key responsibilities 1. project planning & analysis - lead the end-to-end migration of databases and data warehouses to the cloud. - conduct technical evaluation and analysis of source systems. - define project scope, assess risks, and develop detailed migration plans. 2. migration design & execution - design and implement the architecture for target systems based on customer business needs. - execute migration tasks, including: - object migration (tables, views, procedures, triggers) - structure and schema replication - data mapping and transformation - business logic and stored procedure adaptation - performance tuning and optimization 3. cutover & validation - develop and manage cutover strategies, including rollback plans. - oversee system validation and customer acceptance testing. - ensure a seamless transition with minimal business impact. requirements education & experience - bachelor’s degree in computer science or a related field (or equivalent practical experience). technical skills - strong hands-on experience in database migration and data warehousing. - strong knowledge of relational an...
Company description blend is a premier ai services provider, committed to co-creating meaningful impact for its clients through the power of data science, ai, technology, and people. with a mission to fuel bold visions, blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. the company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. we believe that the power of people and ai can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. for more information, visit www.blend360.com we are seeking a to contribute to our next level of growth and expansion. job description you will be a key member of our data engineering team, focused on designing, developing, and maintaining robust data solutions on on-prem environments. you will work closely with internal teams and client stakeholders to build and optimize data pipelines and analytical tools using python, scala, sql, spark and hadoop ecosystem technologies. this role requires deep hands-on experience with big data technologies in traditional data centre environments (non-cloud). what you’ll be doing design, build, and maintain on-prem data pipelines to ingest, process, and transform large volumes of data from multiple sources into data warehouses and data lakes develop and optimize scala-spark and sql jobs for high-performance batch and real-time data processing ensure the scalability, reliability, and performance of data infrastructure in an...
Rome / 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 from disciplines related to mathematics, physics, statistics, econometrics, or other quantitative fields. postgraduate studies and/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 and platforms (hadoop, hive, etc.). solid academic record. knowledge of other languages is desirable. 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 are 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 trainin...
Lisbon / 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...
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 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 i...
Lima / 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 final year students from 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 strong work ethic. quick learner with the ability to adapt easily into multidisciplinary teams. what we offer the best environment to develop your talent: participation in high-profile consulting projects with large, market-leading companies. collaboration with top industry management on national and global challenges. part of an extraordinary team whose values and culture are industry benchmarks. ongoing training plan, with approximately 10% of business turnover invested in training: specialist, external expert, professional skills, and language courses. last year, our staff received over 375,000 hours of training across more than 150 courses. career development cle...
Toronto / 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...
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 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. positive 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 the largest companies, leaders in 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 plan, with approximately 10% of business turnover invested in 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. every senior consultant participates in a business training program offered by insper. caree...
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. - knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering) - statistical programming languages (sas, r, python, matlab) - 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. - ability 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 high-profile consulting projects 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 approx...
Data science consultant milan - categorie protette milan / graduate / number of vacancies: 2 announcement reserved for candidates belonging to protected categories (disabled workers l.68/99 art. 1). 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 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 and/or specialized courses, especially in data science, quantitative finance, or similar, are an asset. knowledge of other languages is desirable. 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: working on high-profile consulting projects for the largest companies in their markets. collaborating with top industry management on national and global challenges. being part of an extraordinary team whose values and culture set industry standards. ongoing training, with approximately 10% of business turnover invested in training: specialist knowledge courses, external expert courses, professional ski...
Estambul / 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/platforms (hadoop, hive) is desirable. solid academic record. postgraduate studies and/or specialized courses in data science, quantitative finance, or similar are an asset. 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 your talent: work on high-profile consulting projects for leading companies in their markets. collaborate with top industry management facing national and global challenges. be part of a professional team with values and culture benchmarked in the industry. ongoing training plan, with approximately 10% of business turnover invested in training: specialist courses, external expert courses, professional skills, and language courses. last year, staff received over 375,000 hours of training across more than 150 courses. clear career progression: internal promotion based on merit. partnership management model offering opp...
Join to apply for the analista de data science para prevención de fraude role at mercado libre join to apply for the analista de data science para prevención de fraude role at mercado libre en mercado libre estamos democratizando el comercio, el dinero y los pagos en américa latina. ¡sumate a este propósito! imagínate emprendiendo proyectos desafiantes, dinámicos e in novadores y siendo responsable de: modelar el comportamiento de quienes compran y venden en nuestro marketplace con foco en generar conocimiento sobre patrones y prevención de fraude. crear, desarrollar e implementar soluciones nuevas y escalables con base en técnicas de estadística y ciencia de datos. obtener, procesar y analizar grandes volúmenes de datos provenientes de diversas fuentes y extraer datos de interés. diseñar, entrenar y evaluar modelos de machine learning o deep learning capaces de adaptarse a entornos productivos complejos y establecer las mejores prácticas de desarrollo de software, a fin de asegurar procesos eficientes y automatizados. interactuar con los equipos de ingeniería al momento de desplegar, monitorear y mantener los modelos en producción, garantizando un excelente clima laboral. tener experiencia en desarrollo de soluciones de machine learning o deep learning preferentemente en áreas de e-commerce, fintech o logistics. poseer conocimientos en tecnologías vinculadas a machine learning; bibliotecas del stack, como python, numpy, pandas, scikit-learn, matplotlib; frameworks de deep learning, como tensorflow, keras, pytorch. conocer de bases de datos relacionales y distribuidos, como...
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 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 high-profile consulting projects for the largest companies, leaders of their 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 bu...
Ingeniería de sistemas computación / otras industria de la empresa: servicios sonda es una empresa multinacional chilena fundada en el año 1974, en colombia se establece desde 1996 y tiene una amplia presencia latinoamericana.fundamnetalmnente es un integrador de sistemas y productor y distribuidor de software. descripción general importante multinacional de ti se encuentra en la búsqueda de un arquitecto de datos que quiera aprender y transformar su carrera. en esta función tendrás que tener experiencia y conocimientos en: - liderar equipos de datos. - arquitectura de datos. - mdm - master data management y rdm - reference data management - gobierno de datos - calidad de datos - bases de datos relacionales y nosql. - soa, big data, machine learning, hadoop, hive, etls, python, r, power bi - modelamiento de bases de datos relacionales, multidimensionales y no estructurados. - arquitecturas de soluciones para inteligencia de negocios, analítica y/o big data. - modelado datos, flujos de datos y fuentes de verdad empresariales. - diseño de arquitectura de datos en cloud (preferible azure) ideal si cuentas con: - profesional en ingeniería de sistemas, electrónica o afines - postgrado en arquitectura de datos, ciencia de datos o certificaciones en arquitectura empresarial, tecnologías de la información, especialización en business intelligence, analítica avanzada, big data o afines. certificaciones en: • certificación dama obligatoria • deseable: certificaciones en nubes como aws, azure o gcp. y mucho mejor si destacas por: mínimo tres (3) años de experiencia como arquitecto...
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...
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. 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 ongoing training p...
Madrid / 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 m...
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 t...
Cree una alerta de empleo y reciba nuevas ofertas que se adaptan a su perfil desde más de 2550 sitios web de empleo