Data Scientist

Data Science · Manchester, Manchester
Department Data Science
Employment Type Full-Time

Purpose of the role

 

To work with clients across multiple sectors; applying the latest research and technology to overcome real life commercial problems.

 

The opportunity  

 

Peak are a Decision Intelligence company - where we are democratising AI for every business and building a great company that everyone loves being part of. We are on a mission to help organisations use AI to make great commercial decisions, all the time. We have great plans over the coming years - to create and lead a new category of enterprise software; the decision intelligence system (Decision Intelligence), expand our operations and create the best working culture possible. Being a Data Scientist at Peak places you right at the heart of the company and at the forefront of developing practical & innovative solutions to help our customers grow and become more efficient. This is an exciting opportunity to develop your career in data science and gain highly sought after experience in the Decision Intelligence field, as we start the next stage of our global growth. 

 

Diversity is powerful

 

At Peak, we are also focused on building an amazing company: we strive to be the place where a diverse team of talented people is enabled to do their best work. We pride ourselves on bringing Decision Intelligence to our customers around the world, and we know our company relies on the creative work and dedication of our passionate teams. We are strong believers in equality and diversity of gender, ethnicity, race, sexual orientation, religion, national origin and all the other fascinating characteristics that make us unique. Our recent Best Companies award & World class accreditation for being one of the top companies to work for is a testament to this.

 

The role 

 

You’ll work as a key part of the data science team, who shape our products and drive growth by transforming how our customers operate. Interfacing with diverse people and situations - from academic experts to being onsite with our customers; this position requires a high degree of independence and responsibility. Furthermore, there is considerable opportunity to expand the role as Peak grows.

 

We’re looking for enthusiastic expertise in machine learning and data mining. An essential part of the role will involve keeping up-to-date with technological developments and research in the area. You must be enthusiastic about the discipline, excited by novel applications that these techniques offer, and have the ability to communicate your understanding and findings clearly to experts in other disciplines. 

  

Our core values

 

We are looking for teammates who are:


  • Open - excellent verbal and written communication skills, including the ability to clearly communicate complex information to those in other disciplines. 
  • Driven – shows high levels of drive, energy, resilience and a desire for professional excellence.
  • Curious - naturally inquisitive with a problem-solving mindset. 
  • Smart – keeps up to date with the latest data science news, market results and industry announcements. 
  • Responsible - effectively balance priorities and work productively as part of the team. 

 

We’d love it if you have

 

  • Prior experience in one or some of - statistical modelling, machine learning, data mining, unstructured data analytics, natural language processing.
  • Programming skills/concepts and the ability to pick up new technology with ease. Prior experience in R, Python and/or other statistical tools/languages are a plus.  
  • Familiarity with relational databases and intermediate level knowledge of SQL are a big bonus as you’ll be working with different datasets.
  • Sound understanding of a wide range of statistical techniques. 
  • The ability to understand and present findings to a non-technical audience. Prior experience in data visualization and/or deriving insight from a wide variety of data sources is a plus.

 

What we offer

 

  • Opportunity to make a large impact in a fast-growing company with global ambitions and influence Peak’s early success in entering the global market.
  • Inclusive compensation package including best in class share options, pension and generous holiday entitlement.
  • A fantastic working environment with open communication channels, flat team structure and a truly collaborative style.
  • Great maternity leave benefits (more details here).
  • Mental and physical health support through a variety of channels, e.g., Headspace and Spill app subscriptions, online yoga/boxing/HIIT classes, regular team days and social activities (online at the moment).
  • Cycle to work initiative and public transport season ticket loans.
  • Learn from like minded & talented team members across multiple disciplines.
  • Opportunity to develop in various areas that you may take an interest in as part of your personal development. 

 

About Peak


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. 

 

Want to see more?

You can check some of our articles on Medium!

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  • Location
    Manchester, Manchester
  • Department
    Data Science
  • Employment Type
    Full-Time