WorldRemit | Senior Machine Learning Engineer, Senior Data Engineer | London, UK | VISA
WorldRemit is a Fintech company changing the way people send money abroad. WorldRemit has grown on average by 50% year on year and is now processing over £3bn of remittances on an annualised basis. We have raised c.$370 million in funding, currently employ over 800 employees and have offices in London, USA, Philippines, Poland, Australia, New Zealand, Canada, Japan, Hong Kong and other locations.
As a Machine Learning Engineer, you will be working alongside our product data scientists and data engineers to help apply machine learning throughout the business. We believe data and machine learning is key to help us provide an excellent customer experience. From offering dynamic user journeys to helping to automate manual decisions, there is a machine-learning gap at virtually every level of our organisation. You will work on the process end to end, from understanding the business problem to analysing datasets and finally putting a Machine Learning system in production. Projects you could work on: fraud prevention, anti-money laundering, marketing optimisation and attribution, customer churn prediction and retention, time-series forecasting, pricing and customer service automation.
As a (full stack) Data Engineer, you will be responsible for working on the data structure and pipelines, including designing and architecting many of its components. You will be working alongside our analysts, data scientists, machine learning engineers amongst other stakeholders to identify and implement the best possible solutions for our analytical data needs. We are looking for engineers with experience in Python and SQL, and extensive work around large complex datasets.
WorldRemit | Machine Learning Engineer, Data Engineer | London, UK | VISA
WorldRemit is a Fintech company changing the way people send money abroad. WorldRemit has grown on average by 50% year on year and is now processing over £3bn of remittances on an annualised basis. We have raised c.$370 million in funding, currently employ over 800 employees and have offices in London, USA, Philippines, Poland, Australia, New Zealand, Canada, Japan, Hong Kong and other locations.
As a Machine Learning Engineer, you will be working alongside our product data scientists and data engineers to help apply machine learning throughout the business. We believe data and machine learning is key to help us provide an excellent customer experience. From offering dynamic user journeys to helping to automate manual decisions, there is a machine-learning gap at virtually every level of our organisation. You will work on the process end to end, from understanding the business problem to analysing datasets and finally putting a Machine Learning system in production. Projects you could work on: fraud prevention, anti-money laundering, marketing optimisation and attribution, customer churn prediction and retention, time-series forecasting, pricing and customer service automation.
As a (full stack) Data Engineer, you will be responsible for working on the data structure and pipelines, including designing and architecting many of its components. You will be working alongside our analysts, data scientists, machine learning engineers amongst other stakeholders to identify and implement the best possible solutions for our analytical data needs. We are looking for engineers with experience in Python and SQL, and extensive work around large complex datasets.
WorldRemit | Machine Learning Engineer, Data Engineer | London, UK | VISA
WorldRemit is a Fintech company changing the way people send money abroad. WorldRemit has grown on average by 50% year on year and is now processing over £3bn of remittances on an annualised basis. We have raised c.$370 million in funding, currently employ over 800 employees and have offices in London, USA, Philippines, Poland, Australia, New Zealand, Canada, Japan, Hong Kong and other locations.
As a Machine Learning Engineer, you will be working alongside our product data scientists and data engineers to help apply machine learning throughout the business. We believe data and machine learning is key to help us provide an excellent customer experience. From offering dynamic user journeys to helping to automate manual decisions, there is a machine-learning gap at virtually every level of our organisation. You will work on the process end to end, from understanding the business problem to analysing datasets and finally putting a Machine Learning system in production. Projects you could work on: fraud prevention, anti-money laundering, marketing optimisation and attribution, customer churn prediction and retention, time-series forecasting, pricing and customer service automation.
As a (full stack) Data Engineer, you will be responsible for working on the data structure and pipelines, including designing and architecting many of its components. You will be working alongside our analysts, data scientists, machine learning engineers amongst other stakeholders to identify and implement the best possible solutions for our analytical data needs. We are looking for engineers with experience in Python and SQL, and extensive work around large complex datasets.
WorldRemit | London, UK | Senior Data Engineer, Data Engineer | ONSITE | FULLTIME | VISA
WorldRemit is the global FinTech success story that has been described as "the WhatsApp of Money" (Business Insider) and "Changing the world of remittances" (BBC). Backed by leading Silicon Valley investors with more than $140m in funding, our app and website help people send money to friends and relatives in more than 140 countries. We're a high-volume business – our customers send hundreds of thousands of transfers every month – and we're growing fast.
As a (full stack) Data Engineer, you will be responsible for working on the data structure and pipelines, including designing and architecting many of its components. You will be working alongside our analysts, data scientists, machine learning engineers amongst other stakeholders to identify and implement the best possible solutions for our analytical data needs. We are looking for engineers with experience in Python and SQL, and extensive work around large complex datasets.
As a Machine Learning Engineer, you will be working alongside our product data scientists and data engineers to help apply machine learning throughout the business. We believe data and machine learning is key to help us provide an excellent customer experience. From offering dynamic user journeys to helping to automate manual decisions, there is a machine-learning gap at virtually every level of our organisation. You will work on the process end to end, from understanding the business problem to analysing datasets and finally putting a Machine Learning system in production. Projects you could work on: fraud prevention, anti-money laundering, marketing optimisation and attribution, customer churn prediction and retention, time-series forecasting, pricing and customer service automation.
Senior Machine Learning Engineer: https://www.worldremit.com/en/careers/job-listing?jobid=1819...
As a (full stack) Data Engineer, you will be responsible for working on the data structure and pipelines, including designing and architecting many of its components. You will be working alongside our analysts, data scientists, machine learning engineers amongst other stakeholders to identify and implement the best possible solutions for our analytical data needs. We are looking for engineers with experience in Python and SQL, and extensive work around large complex datasets.
Senior Data Engineer: https://www.worldremit.com/en/careers/job-listing?jobid=1535...
TECHNOLOGIES: sklearn, lightgbm, SQL, python, AWS, Redshift, Kafka, Hadoop/Hive/Presto/Spark, Docker, pandas