Job description

Purpose of the Role

In your role as an Insight specialist in the Peak Data Science team, your purpose is to use analysis, visualisations, and insight to enable Peak to successfully deliver Decision Intelligence to our customers, and to support our sales team across multiple sectors.


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. 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 & World class 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 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. Sitting within the Data Science Org, being an Insight Data Analyst places you right at the heart of the company and at the forefront of deriving actionable insights to help our customers grow and become more efficient. This is an exciting opportunity to develop your career in data analytics and insight, and gain highly sought after experience in the AI field, as we start the next stage of our global growth.


The Role

You’ll work within the Data Science team, providing data-driven recommendations to our customers on how to improve the way they operate. Interfacing with diverse people and situations - from Peak’s Data Scientists to being onsite with our customers; this position requires a high degree of autonomy and responsibility. Furthermore, there is considerable opportunity to expand the role as Peak grows.


We’re looking for expertise in data analytics, visualization & insight. An essential part of the role will involve translating raw data into recommendations that businesses can action, requiring a combination of technical and commercial skills. You must be enthusiastic about data, curious about new ways to explore and visualize data, and have the ability to communicate your understanding and findings clearly to our customers.


Personal Skills


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 and analytics best practice.
  • Responsible - effectively balance competing priorities and work productively as part of the team.

Required Experience


We are looking for:

  • Experience in deriving insight from a wide variety of data sources to identify areas for optimisation and improvement
  • Skill in producing high quality data visualizations, reports and presentations
  • Excellent communication skills, with confidence in presenting complex information to a non-technical audience
  • Experience of engaging with internal and external stakeholders, understanding their business issues and providing solutions
  • Proficiency in statistical and other tools/languages, specifically R and /or Python.
  • Familiarity with relational databases and intermediate level knowledge of SQL.
  • Sound understanding of a wide range of statistical techniques.
  • Familiarity with one or some of - statistical modelling, machine learning, data mining, unstructured data analytics, natural language processing.

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.
  • Share options / Equity in Peak - Peak is our company, Peak is your company
  • 25 days annual leave when you start (rising with each year of service up to 30), plus 8 days public holidays (3 flexible days for you to use when convenient)
  • A fantastic working environment with open communication channels, flat team structure and a truly collaborative style.
  • Flexible culture - Hybrid working model (Clubhouse/Home) and flexible hours with work life balance in mind.
  • Opportunity to work from anywhere in the world for 1 month of the year
  • 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.

Unfortunately we cannot offer remote work or sponsorship for this opportunity


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.


What to see more?

You can check some of our articles on Medium!

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