Data science consultant santiago de chile 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 mo...
Position: architectural design specialist – vectorworks expert location: remote position type: full-time company: teamficient. about the role: we are looking for a skilled vectorworks specialist with proven experience working with point clouds in vec...
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 train...
New york / internship / 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. - 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 c...
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. - 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/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. - proactive attitude, maturity, responsibility, and strong work ethic. - ability to learn quickly. - able to integrate easily into multidisciplinary teams. 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 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 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 ...
Compartir facebook empresa teamficient sas descripción de la empresa teamficient se especializa en el arte de conectar organizaciones con el personal remoto ideal. nuestro compromiso con nuestros colabores es ofrecer un trabajo remoto desde la comodidad de su casa con todos los beneficios de ley y con un excelente clima laboral departamento buenos aires localidad buenos aires tipo de contratación tiempo completo descripción de la plaza position title: sales caller location: remote employment type: full-time experience level: 5+ years company: teamficient - www.teamficient.com salary range: $800 - $1000 (negotiable for highly experienced candidates) job overview: we are seeking proactive and persuasive sales callers to join our growing team. in this role, you will play a vital part in connecting with prospective clients, qualifying leads, and booking appointments for our senior sales team. this is a results-driven role that requires strong communication skills, follow-through, and the ability to work independently in a fast-paced environment. key responsibilities: conduct outbound cold and warm calls using vetted lead lists qualify prospects based on project scope, budget, and decision-making authority schedule consultations and discovery calls for senior sales or project leads accurately log call notes, maintain follow-up records, and update crm systems coordinate with marketing and lead gen teams to align on outreach campaigns handle basic inbound inquiries as needed maintain high energy, professionalism, and persistence across all interactions...
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 rec...
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 15...
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 ...
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 trainin...
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 ac...
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. ongo...
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 tr...
Buenos aires / 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 the business and r&d; projects. requirements - recent graduates or final-year students in mathematics, physics, statistics, econometrics, or other quantitative fields. - postgraduate studies or specialized courses are advantageous, especially in data science, quantitative finance, or similar areas. - 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, etc.). - 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 your talent: - participation in high-profile consulting projects for major companies leading their markets. - collaboration with top industry management facing national and global challenges. - part of a professional team known for its values and corporate culture. ongoing training plan, with about 10% of business turnover invested in training: - specialist courses, external expert courses, professional skills training, and language courses. - over 375,000 hours of training across more than 150 courses la...
Copenhague / 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. - 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/platforms (hadoop, hive, etc.). - solid academic record. - postgraduate studies or specialized courses in data science, quantitative finance, or related fields are an asset. - knowledge of additional languages is desirable. - proactive attitude, maturity, responsibility, and strong work ethic. - ability to learn quickly. - ability to integrate into multidisciplinary teams easily. we offer the best environment to develop your talent: - participation in high-profile consulting projects for large companies and market leaders. - collaboration with top industry management facing national and global challenges. - part of an extraordinary team with values and culture benchmarked in the industry. ongoing training plan, with approximately 10% of business turnover invested in training, including specialist courses, external expert courses, professional skills, and language courses. last year, our staff received over 330,000 hours of training across more than 150 courses. clear career path with internal promot...
Paris / graduate / number of vacancies: 5 - development of normative and non-regulatory models (e.g., regression models, classification models, time series, and monte carlo simulations) in the fields of banking, insurance, energy, and telecommunications. - review and validation of regulatory and non-regulatory models in risk, finance, and other sectors. - statistical data processing. - mathematical business support: development of algorithms, statistical, and probability models. - r&d; projects. requirements - recent graduate or final-year student from disciplines related to econometrics, mathematics, analytics, business administration, mathematical finance, quantitative methods, financial mathematics, physics, etc. - desirable knowledge of modeling techniques (logit, decision trees, clustering) and statistical programming languages (python, r, sas, matlab). - solid academic record. - postgraduate studies and/or specialized courses in data analytics, quantitative finance, or similar are assets. - knowledge of other languages, big data tools, and cloud services (aws, azure, google) 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 talent: - participation in high-profile consulting projects for leading companies. - collaboration with top industry management on national and global challenges. - part of an extraordinary team whose values and culture set industry benchmarks. additional benefits inclu...
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. - ...
Management of the business operations of a region and/or country. management of internal and external strategic issues and opportunities. management of business operations initiatives through business intelligence (country management, business operations efficiency, business intelligence) senior analyst – commercial operations is responsible for delivering data-driven insights to improve customer care effectiveness, sales performance, delivery & operational performance, and commercial outcomes. the role involves deep analysis of customer interactions, operational kpis, and care initiatives to identify trends, gaps, and opportunities for improvement across touchpoints. build and maintain reports and dashboards to track performance metrics for commercial and care teams. automate reporting processes to improve efficiency and reduce manual intervention. - strong understanding of salesforce customer insights & journey analytics: conduct root cause analysis for customer pain points and drop-offs across care journeys. partner with cx and commercial teams to recommend improvements based on data insights. cross-functional collaboration: work closely with care operations, marketing, product, finance, and bi teams to align data initiatives with business goals. translate operational data into actionable insights for leadership and front-line teams. education: bachelor’s degree in business, statistics, engineering, economics, or related field. master's degree is a plus. experience: 3–5 years of experience in analytics roles, preferably within telecom, customer operations,...
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 cu...
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...
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 busin...
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 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 high-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 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, spanning more than 150 courses. clearly defined career plan - internal promotion based solely on merit. - ...
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 15...
Management of the business operations of a region and/or country. management of internal and external strategic issues and opportunities. management of business operations initiatives through business intelligence (country management, business operations efficiency, business intelligence) senior analyst – commercial operations is responsible for delivering data-driven insights to improve customer care effectiveness, sales performance, delivery & operational performance, and commercial outcomes. the role involves deep analysis of customer interactions, operational kpis, and care initiatives to identify trends, gaps, and opportunities for improvement across touchpoints. build and maintain reports and dashboards to track performance metrics for commercial and care teams. automate reporting processes to improve efficiency and reduce manual intervention. - strong understanding of salesforce customer insights & journey analytics: conduct root cause analysis for customer pain points and drop-offs across care journeys. partner with cx and commercial teams to recommend improvements based on data insights. cross-functional collaboration: work closely with care operations, marketing, product, finance, and bi teams to align data initiatives with business goals. translate operational data into actionable insights for leadership and front-line teams. education: bachelor's degree in business, statistics, engineering, economics, or related field. master's degree is a plus. experience: 3–5 years of experience in analytics roles, preferably within telecom, customer operations,...
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 cu...
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...
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 ac...
Senior ios developer (swift ui/combine/tca) senior ios developer (swift ui/combine/tca) direct message the job poster from intellias talent delivery lead @intellias | global recruitment. at intellias, we're always on the lookout for exceptional talen...
Position: architectural drafter. autocad. sketchup location: remote position type: full-time company: teamficient. about the role: we are looking for a talented and detail-oriented architectural specialist with strong experience in autocad and twinmo...
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