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As the world becomes increasingly more digitalised, the importance of data and the understanding of it grows day by day. Sage AI is a nimble team within Sage building the future of cloud business management by using artificial intelligence to turbocharge our users' productivity. The Sage AI team builds capabilities to help businesses make better decisions through data-powered insights.

As a part of our team, you will be crafting machine learning solutions to help steer the direction of the entire company’s Data Science and Machine Learning effort. You will have chances to innovate, contribute and make an impact on the rapidly growing FinTech industry.
You will participate in the design, development, delivery, and analysis of high-quality machine learning solutions that contribute to the success of Sage and contributes intelligence to its products. You will learn how to use cutting-edge ML/AI tools such as tensorflow/pytorch, sklearn, etc. as well as the tools that are used to run models in production – docker, kubernetes, AWS, etc.

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 effectively communicate results to diverse groups and stakeholders.

As part of this internship, you will pair with a dedicated mentor from Sage AI and gain hands on experience in all parts of the ML Development lifecycle in order to hone both your technical and professional skills.

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.

The Key Responsibilities in this role are:

Contribute to the data analysis and development of effective statistical models for segmentation, classification, optimisation, time series, etc.

Design and implement model validation and performance metrics and build dashboards that help us track these metrics over time

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

Skills, knowledge, and experience that will help you thrive in this role are: (desired, but not essential)

Experience utilising statistical and machine learning technique either as part of a degree or personal project, including qualitative analysis (e.g., content analysis, phenomenology, hypothesis testing) and quantitative analysis techniques (e.g., clustering, regression, pattern recognition, descriptive and inferential statistics)

Experience with SQL and relational databases

Experience in presenting qualitative and quantitative data

Experience in collaborating with individuals and/or groups

Experience in complex problem solving

Entry Requirements:

To thrive in this role, you will need to be studying toward a degree in a quantitative discipline (applied mathematics, statistics, computer science, operations research, or related field)

You could also have:

Experience as a Programmer - Python, Java, C#, or other language

Solid mathematical and analytical reasoning fundamentals as demonstrated through your coursework or independent projects.

Our Intern recruitment process:

1. Apply online with CV
2. Complete screening
3. Complete video interview (You will receive a link to complete a video interview within 1 week of applying)
4. If you successfully complete the screening process, you will be sent details on how to complete a data challenge on Kaggle.
5. If successful in the above, you will be invited to attend a Hackathon at our Sage office in Newcastle.

If you require any additional support/special accommodation during your video interview or at Assessment Centre stage, please email [email protected]

Hackathon details:

The hackathon will take place from the 25th-28th April and will include a variety of activities in the day and evening.*

Accommodation and travel expenses will be provided for those who live outside of a 50 mile radius from NE28 9EG.

This role commences on the 5th June 2023 and ends on the 31st August 2023.