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People make Sage great. From our colleagues delivering ground-breaking solutions to the customers who use them: people have helped us grow for more than thirty years, and people are driving our future as a great SaaS company. We're writing our next chapter. Be part of it!
At Sage, we recognize that the world of work has rapidly shifted over the last few years, particularly how we work. That is why we have committed to working in a hybrid way going forward. Human connection is an essential ingredient of the 4 principles that make up our Flexible Human Work hybrid framework and we want to be transparent in what that looks like when you join our Sage family. On one hand, our offices will continue to play an important role in our future and serve as a place for spontaneous conversations, connection, collaboration as well as focused time. On the other hand, we have learned to reimagine where and when we work and to unlock that flexibility and innovation for our colleagues offering them the opportunity to work flex across their home, Sage offices or customer sites.
We invite you to join us and help us write our next chapter. Follow us on our social media sites to join in conversations about open positions and company news! #lifeatsage #sagecareers.
Job Description
As the world becomes increasingly more digitalised, the importance of data and the understanding of it grows day by day. The Big Data & Analytics team works daily with billions of rows of data from many different sources, applying cutting edge Data Science techniques, leveraging Big Data, Machine Learning and Data Integration technologies to discover a brand new understanding of Sage’s FinTech world. Our work is quite literally changing the way Sage views and engages with its customers.
We are looking for a data engineer who is passionate about data science and machine learning. You will be a key member of the team charged with shaping Sage’s understanding of its data, discovering creative solutions to solve complex problems, building pipelines that draw upon a broad range of disparate sources, delivering insight and understanding. Working along-side other team members, you will learn and gain hands-on experience of the methodologies and technologies used to discover new approaches, opportunities, and insight to data. You will not just apply out-of-the-box models, you will gain a knowledge of how they work, when they work and why they work.
Core to the role, you will have passion, and motivation for all things Data Science and Machine Learning whilst appreciating that learning is a key part of the role, just as is the confidence to suggest recommendations and also effectively communicate results to different groups and stakeholders.
Innovation will be at the heart of this role, and as such you will continually demonstrate the sharing of new idea, suggest opportunities and better ways of working.
Key Responsibilities
Contribute to the data analysis and development of effective statistical models for segmentation, classification, optimisation, time series, etc. Support the design and implementation of reporting dashboards that present key business metrics and provide actionable insights. Present findings to the wider team and/or organisation. Identify insights, suggest recommendations that influence the direction of the business. Suggest improvements in the tools and techniques to help develop the team.
Entry Requirements
A STEM degree with a focus on machine learning, or an alternative degree supported by a keen interest/demonstrated knowledge of machine learning.
Our Graduate Recruitment process
- Apply online with CV
- Complete screening
- Complete video interview (You will receive a link to complete a video interview within 1 week of applying)
- Attend assessment centre in June/July 2022.
Please note that this role commences on the 3rd October 2022.
