Purpose of the Role
As a Data Science Graduate on the Peak Data Science Graduate Scheme, you will support across the various Data Science specialties within Peak, developing a solid base in Insight and Analytics, Research & Development, and Operational/Applied Data Science.
Peak is a Decision Intelligence company - we are on a mission to help organisations use AI to make great commercial decisions, all the time. Just as importantly, we are also focused on building an amazing company - one where we truly value our people & culture, and strive to make an amazing and diverse place to work. Our recent Best Companies award & 3 star accreditation for being one of the top companies to work for is a testament to this. We have ambitious plans over the coming years; to launch and lead a new category of technology (Decision Intelligence), expand our operations and create the best working culture possible.
To do so we need the best people and an environment our team loves being a part of. Sitting within the Data Science Org, the Data Science Graduate Scheme gives you the opportunity to learn the full breadth of applied Data Science, in a company that has AI at its heart. This is an exciting opportunity to develop your career in Data Science and Analytics, and gain highly sought after experience in the AI field, as we start the next stage of our global growth.
You’ll work within the Data Science team, spending dedicated time focussing on Insight and Analytics, Research and Development, and Customer Operations. Interfacing with diverse people and situations, and working with some of the biggest brands in the world - this opportunity will develop a solid foundation for starting a Data Science career. Furthermore, there will be opportunities for high performing graduates to remain at the company after the scheme ends.
Starting in September 2022, the graduate scheme will involve four 3 month placements in three of our teams within Data Science at Peak. You will spend:
Alongside on-the-job experience, you will have the opportunity to take part in structured training sessions and work together on a group project.
We’re looking for high achieving graduates of numerical degrees. These could be computational Physics, Mathematics, Statistics, Data Science, or other fields like Computer Science and Psychology. You must be enthusiastic about data, curious about new ways to explore, model, and visualize data, and have the ability to communicate your understanding and findings clearly.
We are looking for teammates who are:
We are looking for:
This position is open to recent graduates of a numerical Bachelor's Degree or Master's Degree.
Inclusion and Diversity at Peak
Our mission at Peak is to help businesses do great things with AI - we are the innovators, the disruptors and the gamechangers.
Diverse and inclusive companies will drive the fourth industrial revolution - and we will lead from the front.
Over the next 5 years, we need more than words to create a stronger company and a fairer society, which is why Peak is committed to not only creating an amazing place to work, but a diverse and inclusive one too.
We want to create awesome teams and leadership, where everyone can bring their authentic selves to work and their ideas to solve the complex problems for the companies and the communities we serve.
Founded in Manchester in 2015 by Richard Potter, David Leitch and Atul Sharma, Peak is on a mission to change the way the world works. We have offices in Manchester, London, Jaipur and Brisbane. Our decision intelligence platform provides businesses all over the world with AI-powered solutions that drive commercial outcomes.
Connecting data sets from across an organisation to provide predictive insight and recommended actions, the Peak platform directs fast and effective decision making. It is used by leading brands including Nike, Pepisco, KFC, Sika and PrettyLittleThing.
In August 2021, Peak announced a $75m Series C funding round led by SoftBank’s Vision Fund II. We have grown significantly over the last three years, and now number over 200 people globally. This year Peak received a Best Companies 3-star accreditation, which recognizes extraordinary levels of employee engagement and was ranked by The Sunday Times as one of the Best 100 Companies to Work For in 2020 and 2021.
Deadline for applications: 28th February 2022
Assessment date: March/April 2022
Start date: September 2022
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