Data Scientist - #1657831

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.

At Peak, we’re revolutionizing inventory and pricing optimization with the only AI platform that consistently delivers real commercial gains. By joining our team, you’ll contribute to helping some of the world’s leading businesses — including the likes of Nike, Heidelberg Materials and Boohoo — harness the potential of AI to grow revenues, increase profits and efficiencies.

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. Our company values are built on being Smart through expertise and results, Curious in our relentless problem-solving, Open with an approachable and helpful mindset, Driven by ambitious goals and commitment, and Responsible by taking ownership and delivering with trust.

We’re proud to be a team who have now joined forces with UiPath to build a world-class agentic AI offering.

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

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, data science and AI. 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.

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 news, market results and industry announcements.


• Responsible - effectively balance priorities and work productively as part of the team.

Required Experience
We are looking for:

• Experience in one or some of - statistical modelling, machine learning, AI, data science, forecasting, optimization.


• 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.

Benefits

• Competitive compensation package.


• 25 days annual leave, rising to 30 with service, plus flexible bank holidays.


• Share options for everyone, when we win, we all win. 


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• Hybrid working model and flexible hours, with work life balance in mind.


• Opportunity to work from anywhere in the world for up to 2 weeks a year, after one year’s service.


• Opportunity to spend one day volunteering.


• 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 your partner and children.  


• Subsidised gym membership, Peak run club and online yoga, boxing and HIIT classes. 


• Cycle to work initiative and public transport season ticket loans.


• In early 2023, we moved to an organised hybrid model that allows us to get together and collaborate in person but also offers flexibility. We promote flexible working hours with our team working 3 days onsite in our clubhouses with an option of 2 days remote (subject to reasonable adjustments).

Our 4 step interview process

• Intro call - Initial intro to Peak with one of our Talent Managers.


• Team meeting - Video Interview with two Data Scientists in the team to explore values and find out more about your technical background.


• Skills Session - You will be set a task and asked to present your work to the team followed by a discussion and questions.


• Meet leadership - Get the lowdown on Peak, our future and your career with a final chat with someone in our leadership team.

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 organisations 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 democratising AI for every business.

Peak’s AI platform optimizes inventories and pricing for global industry leaders including Nike, B&M, Heidelberg Materials, and Eurocell. With a core belief that businesses need their own AI — built for their business, with their data — Peak’s pre-built AI products can be configured to fit unique requirements.

With over a decade of successful AI deployments, Peak has a proven track record of delivering rapid performance gains, helping customers increase revenues, profits, and efficiency.

Having raised $119 million in funding to date, Peak continues to accelerate AI adoption across industries through key partnerships with AWS, Snowflake, and SAP.

Now part of UiPath, Peak is combining strengths to build a world-class agentic AI offering, taking enterprise AI to the next level.