Boston / 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 pa...
Archive (archive. com) is the ultimate ai-first influencer marketing platform. we build software and agents to help influencer marketers grow revenues faster. over 2,000+ innovative brands like l'oreal, glossier, revlon, olipop, quest nutrition, para...
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 (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: - participation in high-profile consulting projects for major companies and market leaders. - work alongside top industry management facing national and global challenges. - part of an extraordinary team with strong values and a reputable corporate culture. ongoing training with approximately 10% of business turnover invested in development: - specialist courses, external expert courses, professional skills, and language training. - last year, our staff received over 375,000 ...
Job description: design and develops complex software that processes, stores and serves data for use by others. designs and develops complex and large-scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs. writes complex etl (extract / transform / load) processes, designs database systems and develops tools for real-time and offline analytic processing. ensures that data pipelines are scalable, repeatable and secure. improves data consistency and integrity. integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards. has knowledge of large-scale search applications and building high-volume data pipelines. knowledge of java, hadoop, hive, cassandra, pig, postgres, snowflake, domo, iceberg. complexity & problem solving: - learns routine assignments of limited scope and complexity. - follows practices and procedures to solve standard or routine problems. autonomy & supervision: - receives general instructions on routine work and detailed guidance from more senior members on all new tasks. - work is typically reviewed in detail at frequent intervals for accuracy. communication & influence: - builds stable internal working relationships. - communicates and seeks guidance/feedback regularly from more senior members of the team. - primarily interacts with supervisors, project leads, mentors, or other professionals in the same discipline. - explains facts, policies, and practices related to discipline. key responsibilities:...
Title: data engineer location: bogota, co duration: full time design and develops complex software that processes, stores and serves data for use by others. designs and develops complex and large-scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs. writes complex etl (extract / transform / load) processes, designs database systems and develops tools for real-time and offline analytic processing. ensures that data pipelines are scalable, repeatable and secure. improves data consistency and integrity. integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards. has knowledge of large-scale search applications and building high-volume data pipelines. knowledge of java, hadoop, hive, cassandra, pig, postgres, snowflake,domo, iceberg. complexity & problem solving: - learns routine assignments of limited scope and complexity. - follows practices and procedures to solve standard or routine problems. autonomy & supervision: - receives general instructions on routine work and detailed guidance from more senior members on all new tasks. - work is typically reviewed in detail at frequent intervals for accuracy. communication & influence: - builds stable internal working relationships. - communicates and seeks guidance/feedback regularly from more senior members of the team. - primarily interacts with supervisors, project leads, mentors, or other professionals in the same discipline. - explains facts, policies, and practices rel...
We are tech transformation specialists, uniting human expertise with ai to create scalable tech solutions. with over 7,400 ci&ters; around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. artificial intelligence is our reality. we are seeking a mid-level database migration developerr to support the migration of applications, databases, and pipelines across multiple dbms, including cassandra, mongodb, oracle, mysql, bigquery, crunchydb, postgres, and hive db. the successful candidate will execute efficient and secure migration processes, ensuring data integrity and minimal downtime, while collaborating with cross-functional teams and maintaining thorough documentation. responsibilities: assess and plan migrations: evaluate existing databases and define strategies aligned with business and technical requirements implement etl and transformations: build etl processes and apply data transformations to match target database schemas execute and validate migrations: perform migrations between different dbms and verify data integrity, consistency, and performance collaborate and document: work with developers, administrators, and project managers while maintaining clear technical documentation troubleshoot and optimise: identify issues, apply fixes, and improve performance during migration processes requirements for this challenge: bachelor’s degree in computer science, it, or a related field proven experience in database migration with hands-on expertise in at least three of the following: cassandra, mongodb, orac...
We are tech transformation specialists, uniting human expertise with ai to create scalable tech solutions.with over 7,400 ci&ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. artificial intelligence is our reality. we are seeking a mid-level database migration developerr to support the migration of applications, databases, and pipelines across multiple dbms, including cassandra, mongodb, oracle, mysql, bigquery, crunchydb, postgres, and hive db. the successful candidate will execute efficient and secure migration processes, ensuring data integrity and minimal downtime, while collaborating with cross-functional teams and maintaining thorough documentation. responsibilities: assess and plan migrations: evaluate existing databases and define strategies aligned with business and technical requirements implement etl and transformations: build etl processes and apply data transformations to match target database schemas execute and validate migrations: perform migrations between different dbms and verify data integrity, consistency, and performance collaborate and document: work with developers, administrators, and project managers while maintaining clear technical documentation troubleshoot and optimise: identify issues, apply fixes, and improve performance during migration processes requirements for this challenge: bachelor’s degree in computer science, it, or a related fieldproven experience in database migration with hands-on expertise in at least three of the following: cassandra, mongodb, oracle, mysql, bigquery, cr...
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 whos...
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 wareho...
About truelogic at truelogic we are a leading provider of nearshore staff augmentation services headquartered in new york. for over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals. our team of 600+ highly skilled tech professionals, based in latin america, drives digital disruption by partnering with u.s. companies on their most impactful projects. whether collaborating with fortune 500 giants or scaling startups, we deliver results that make a difference. by applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. we aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future. our client at our company, we are committed to building cutting-edge solutions that drive efficiency and innovation. we thrive on a culture of continuous learning, collaboration, and proactive problem-solving. if you’re looking for a place where you can grow and make an impact, this is the team for you! job summary we are looking for a junior to semi-senior pyspark data engineer who is eager to learn, take initiative, and contribute to the development of high-performance and scalable data pipelines. this role is perfect for someone who wants to enhance their technical skills while working on exciting projects within a collaborative team. responsibilities - de...
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 promot...
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 ongoin...
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 (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: - participation in high-profile consulting projects for major companies and market leaders. - work alongside top industry management facing national and global challenges. - part of an extraordinary team with strong values and a reputable corporate culture. ongoing training with approximately 10% of business turnover invested in development: - specialist courses, external expert courses, professional skills, and language training. - last year, our staff received over 375,000 hours of training ...
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 (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: - participation in high-profile consulting projects for major companies and market leaders. - work alongside top industry management facing national and global challenges. - part of an extraordinary team with strong values and a reputable corporate culture. ongoing training with approximately 10% of business turnover invested in development: - specialist courses, external expert courses, professional skills, and language training. - last year, our staff received over 375,000 hours of training...
**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 - prepare detailed documentation to outline data sources, models and algorithms used and deve...
The role ideal candidates will have strong quantitative backgrounds and analytical discipline. while they will have some demonstrated ability to write code, they will not have learned programming languages for the sake of building their resume, but rather as a means to express their intellectual curiosity and analytical voice. kin + carta will provide a platform and training to help them reach their full potential. kin + carta is looking to hire a data engineer to join our growing capabilities team. if you are innovative, passionate about data and ai technologies, and look to continually learn and enjoy sharing expertise, read on! due to the sensitive nature of this client project, this role requires you to be onsite in our bogotá office 5 days a week. role responsibilities analyze a collection of raw data sets to create meaningful impact to large enterprise clients while maintaining a high degree of scientific rigor and discipline. engineer data pipelines and products to help stakeholders make and execute data driven decisions. communicate analytical findings in an intuitive and visually compelling way. creating highly visual and interactive dashboards via tableau, powerbi, or custom web applications conducting deep dive analysis and designing kpis to help guide business decisions and measure success engineering data infrastructure, software libraries, and apis supporting bi and ml data pipelines architecting cloud data platform components enabling the above building and tracking project timelines, dependences, and risks gathering stakeholder requirements and conducting te...
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 testi...
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 app...
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: - interna...
Perfil: estudiantes de último semestre o recién graduados en matemáticas, física, estadística, econometría, ingeniería u otros estudios con fuerte componente cuantitativo. valorable la realización de estudios específicos de postgrado en especial data science, finanzas cuantitativas o similar. valorable conocimiento de técnicas de modelización (logit, glm, series temporales, árboles de decisión, clustering, etc.), lenguajes de programación estadística (sas, r, python, matlab, etc.) y herramientas y plataformas de big data (hadoop, mongodb, cassandra, pig, hive, etc.). nivel alto de inglés. se valorará conocimiento de otros idiomas. disponibilidad para viajar. otros aspectos: sólida trayectoria académica, dinamismo, voluntad de superación, capacidad de trabajo, madurez, responsabilidad y facilidad de integración en equipos de trabajo multidisciplinares. objetivo del cargo: – tratamiento estadístico de datos (data mining). – modelización predictiva mediante técnicas de machine learning y data science. – modelización de eventos temporales (series temporales, modelos arima). – desarrollo de modelos de simulación (monte carlo). revisión y validación de modelos de rating y scoring, raroc y parámetros de riesgo. – apoyo matemático al negocio: desarrollo de algoritmos, estadística y probabilidad. – proyectos de id. ciudad: bogotá fecha límite para aplicar: 15 de febrero de 2017...
About truelogic at truelogic we are a leading provider of nearshore staff augmentation services headquartered in new york. for over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals. our team of 600+ highly skilled tech professionals, based in latin america, drives digital disruption by partnering with u.s. companies on their most impactful projects. whether collaborating with fortune 500 giants or scaling startups, we deliver results that make a difference. by applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. we aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future. our client at our company, we are committed to building cutting-edge solutions that drive efficiency and innovation. we thrive on a culture of continuous learning, collaboration, and proactive problem-solving. if you’re looking for a place where you can grow and make an impact, this is the team for you! job summary we are looking for a junior to semi-senior pyspark data engineer who is eager to learn, take initiative, and contribute to the development of high-performance and scalable data pipelines. this role is perfect for someone who wants to enhance their technical skills while working on exciting projects within a collaborative team. responsibilities design, develop, and optim...
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 testi...
Data scientist **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 effec...
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 ongoing enhancement...
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...
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 par...
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. ...
Archive (archive. com) is the ultimate ai-first influencer marketing platform. we build software and agents to help influencer marketers grow revenues faster. over 2,000+ innovative brands like l’oreal, glossier, revlon, olipop, quest nutrition, para...
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 t...
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