We are Peak, the pioneers of Data Analytics-as-a-Service. We give our customers a significant competitive advantage through our fully managed, subscription-based Data Analytics service.

Our mission is to help our customers change their industries and to be great at what they do. We enable them to compete and win in the Data Economy and we believe that operationalising data is key to achieving long-term competitive advantage.

key info

Number of Employees:  10 - 49

HQ Location: Manchester, UK

Industry: Technology




Through our flat structure and open communication channels, we’ve created a culture of innovation and entrepreneurial spirit, where everyone is empowered to drive the business to succeed. Everyone feels part of growing Peak, and in making sure we're a great place to work.

‘Peak was founded on values of inclusivity and openness, and that extends to how we grow our and empower our teams. Specifically, we believe that diversity is essential in creating a high performance team and culture at Peak, as well as building great products for our customers.
Richard Potter, Cofounder & CEO


View on Diversity & Inclusion . . .

Part of our purpose is to create a company that everyone loves being part of... and we mean 'everyone'. We're passionate about building a diverse workforce from the outset and we're proud that we have both male and female Data Scientists and Software Engineers from all sorts of backgrounds. We know the benefits that a diverse workforce can bring to our culture and our clients and we'll continue to strive to attract and retain great employees from all walks of life.

How we cultivate culture of inclusion. . .

We promote equality of opportunity, whilst valuing diversity. We adopt objective recruitment practices at all stages,ensure our job descriptions are clear and unbiased and we monitor our diversity ratios carefully. We promote flexible working practices and lead by example, with members of the management team working flexibly to balance family life. Most exciting of all, we're building a Data Science Academy, to offer accredited training to delegates, no matter what their background, who are interested in developing a career in Data Science.

Strategies to increase D&I. . .

Mandatory and Standardized Hiring Tests

Organizational Policies that Mandate Fairness & Equity for all Employees

Outreach Programs such as internships programs, scholarships, targeted recruitment in communities, lectures at schools, etc.

Performance Appraisal Systems that are Non-Discriminatory

Self-Managed and Cross-Functional Teams