The Opportunity 

Our mission is to change the way the world works by democratizing AI for every business, and to build a great company that everyone loves being a part of. These two goals haven’t changed since the days when Peak was little more than an idea forming in the heads of our founders Richard, Atul and Dave.

Peak is an AI company that provides the platform, application and services to help businesses harness the potential of AI to grow revenues, increase profits and efficiencies.

It’s an incredibly exciting time here at Peak. Off the back of our $75m Series C funding round in late 2021, led by SoftBank, we're scaling our offering, and putting AI in the hands of even more customers.

We have ambitious plans for the future and that means we're looking to welcome new people to our team. At Peak, culture and success come hand in hand – so creating and protecting a company culture that’s true to our values remains a fundamental aspect of our mission.

Sitting within the Data Science Org, being an Insight Team Leader 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 AI field, as we start the next stage of our global growth. 

Purpose of the Role

To guide the vision of Peak’s Insight offering and lead a team of Insight Data Scientists, providing support and guidance to the team, and building an insight capability that ensures Peak can successfully deliver AI applications to our customers.


What you’ll be doing

You’ll work within the Data Science team as an Insight Team Leader, managing a team of Insight Data Scientists, and providing expertise to the projects they are working on. As well as supporting your team, you will work closely with customers & other teams at Peak to identify opportunities for Insight, and to help them deliver value from our data-driven recommendations. 

The role provides you with the opportunity to drive the strategy of our Insight offering and turn this into a reality within your team by defining new processes and best practices. You must have a track record of delivering high quality Insight, the ability to develop and support other members of a team, and a strategic mindset to further improve our Insight offering going forwards.

  • Line management responsibility for a team of Insight Data Scientists. Act as a mentor for the team, sharing expertise to support their development, and ensure all customers receive high quality Insight work.
  • Grow the Insight team, finding exceptional talent and recruiting them to Peak
  • Use expertise to define the objectives and approach to Insight projects, as well as reviewing the outputs to ensure a high standard
  • Lead more challenging or bespoke Insight projects where Insight Data Scientists may require additional support
  • Work closely with our customers, Account Managemet and Sales to identify opportunities for Insight
  • Prioritise and allocate resource to requests for Insight made by the Ops team
  • Provide input into process, product and best practice improvements for Insight
  • Increase the base-line competency of Insight work within the DS Ops team
  • Implement processes and best practices for Insight and encourage adoption of these within your team
  • Help increase Insight maturity in presales work
  • Build a capability that can act with expertise within our industry verticals (Retail / Manufacturing / CPG), and across our solution domains (Customer / Demand / Supply)
  • Actively contribute towards the Peak strategy, and ensure all team members are aware of, and working towards achieving, the strategy
  • Represent Peak at appropriate events, sharing Insight expertise and the value of the Peak’s Insight offering


Our core values

We are looking for teammates who are:

  • Open - is happy to discuss ideas, contribute to others work, take on board feedback, work well in a tight-knit and supportive team and be comfortable with change. Identifies areas insight skills can be applied to assist other teams, and is willing to help. 
  • Driven -  determined to help Peak succeed as a fast growing scale up technology company, by driving improvements in insight work. Can work under own initiative.
  • Curious -  always working to better understand our customers, their world, and their challenges, and how we can better help them (and communicate that well). Keen to develop your knowledge of different industries, what insight is useful in them, and how to communicate with different types of stakeholders.
  • Smart - always willing to be able to back up opinions with solid reasoning, research and data. Can make our customers feel like we know their business through their data better than they do themselves.
  • Responsible -  Take ownership of a team, and responsibility for the tasks assigned to them. Supports their team, and wider Peak.


We’d love it if you have

  • Ability to lead more challenging or bespoke Insight projects where Insight Data Scientists may require additional support
  • Experience in delivering Insight projects end-to-end, from project scoping to delivery
  • 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

  • Competitive compensation package.
  • 25 days annual leave, rising to 30 with service, plus eight flexible bank holidays.
  • Share options for everyone, when we win, we all win. 
  • Family leave benefits, including a world class maternity pay package
  • Hybrid working model and flexible hours - 3 days onsite in Manchester, 2 days remote 
  • Opportunity to work from anywhere in the world for one month of the year, after one year’s service.
  • Opportunity to spend one day volunteering.
  • Headspace and Spill app subscriptions to support your mental health and wellbeing. 
  • Direct access to a GP as well as mental health support including counselling, through WeCare, for you, your partner and children.  
  • Subsidised gym membership, Peak run club and online yoga, boxing and HIIT classes. 
  • Regular company and team days along with social activities. 
  • Cycle to work initiative and public transport season ticket loans

Our 4 step interview process

  • Intro call - Initial intro to Peak with our Data Science Talent Manager, Nancy
  • Team meeting - Video Interview with two Data Scientists in the team to explore values and find out more about your background.
  • Skills Session - You will be set a task and asked to present your work to the team followed by a discussion and questions, this stage will also be a video call.
  • Meet leadership - Get the lowdown on Peak, our future and your career with a final chat with someone in our leadership team, followed by a tour of the clubhouse!


Diversity, Equity & inclusion

We’re here to change the way the world works and build an amazing company that everyone loves being part of. We know diverse perspectives and experiences result in better solutions, which is why we want all of our Peakers to bring their authentic selves to work.

We’ve been striving to build a diverse and inclusive team from the outset. It’s a continuous journey, and there’s more we can do – but we’re proud of what we’ve achieved so far, which is ahead of the tech industry standard.

We’ve set targets in relation to gender and ethnicity, for now, but we know there’s more to diversity than just these two areas. We’re passionate about creating an inclusive environment for those of all ages, religions, sexual orientations, socio-economic status and for those with disabilities.

We are proud to be a Disability Confident Committed employer – a UK Government certification for organizations actively taking steps to attract, recruit and retain persons with disabilities. If you need any reasonable adjustments as part of the recruitment process, please let us know.

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 by putting AI applications in the hands of business teams.

Peak’s AI platform is used by leading brands including Nike, Palace, PepsiCo, KFC and Sika, and provides a broad feature set that enables technical and commercial teams to build, deploy and manage AI applications at scale. The platform features a library of pre-built AI applications that rapidly create real value across a range of business functions.

In August 2021, Peak announced a $75m Series C funding round led by SoftBank’s Vision Fund II. The same year, it 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 again by Best Companies in 2021 and 2022. This year Peak was also recognized as one of Fast Company’s Best Workplaces for Innovators.


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Inclusion & Diversity at Peak

Our mission at Peak is to help businesses do great things with AI - we are the innovators, the disruptors and the game changers. 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.

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