Remote Data Science Jobs in Bedford

2 of 2 Remote Data Science Jobs in Bedford

Data Scientist - CoE

bedford, east anglia, united kingdom
Hybrid / WFH Options
easyJet
Team The Data Science Centre of Enablement (CoE) are seeking a Data Scientist to join our team. The ideal candidate will have a strong background in data science & AI. Responsibilities include developing and updating Data Science training, establishing best practices and standards for data science & AI, supporting business functions with model … development, and collaborating with stakeholders to drive innovation in data science and AI across the organisation. The Data Science CoE team is an integral part of the wider Data Analytics & Integration team, which also includes Data Analytics and Data Management teams, and is closely integrated with the IT team, especially in areas of … Demand Management, Data Engineering and Service Delivery. The team works closely with a growing number of internal stakeholders across easyJet on multiple transformation projects. The team also works in partnership with a select few external stakeholders who augment our capabilities such as Algorithm support. This role reports into Head of Data Science. JOB PURPOSE The Data Scientist More ❯
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Senior Data Platform Engineer

bedford, east anglia, united kingdom
Hybrid / WFH Options
easyJet
employ over 10,000 people. Its big-scale stuff and we’re still growing. Job Purpose With a big investment into Databricks, and with a large amount of interesting data, this is the chance for you to come and be part of an exciting transformation in the way we store, analyse and use data in a fast paced … organisation. You will join as a Senior Platform Data Engineer providing technical leadership to the Data Engineering team. You will work closely with our Data Scientists and business stakeholders to ensure value is delivered through our solutions. Job Accountabilities Develop robust, scalable data pipelines to serve the easyJet analyst and data science community. Highly … competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor the team (including contractors) to improve development standards. More ❯
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