Purpose of the Role
To bring specific forecast and optimisation domain knowledge; helping to develop our AI solutions to customers.
Artificial Intelligence is what we do and Data Science is pivotal to our business.
If you have a passion for data and leading expertise in machine learning and artificial intelligence, then this is a unique and exciting opportunity for you to be an integral part of a successful, growing, tech scale up company.
We are looking for experts in the field of forecasting and operational research to come and join our demand team. Working with clients of all sizes, spanning various industries and sectors, you will gain exposure to a uniquely varied portfolio of data science problems specialising in areas such as demand forecasting, supply chain optimisation, price optimisation and warehouse management.
You will have the opportunity to work alongside data scientists with a range of technical expertise, working collaboratively to solve complex data science problems for our customers. With the aim of becoming a leading data science team, we provide extensive internal and external training courses to allow individuals to develop further and be the best in their field.
Using your domain knowledge in forecasting and operational research, you’ll help develop our AI solutions for our customers that will help them run their operations more efficiently and cost effectively.
Employ advanced machine learning techniques to model complex client-specific problems.
Advise on technical and theoretical possibilities within the forecast & optimization domain.
Provide support to the wider data science team through mentoring/coaching etc to develop their technical skills and successfully deliver AI solutions.
Provide input into the Product and Engineering teams to support the overall development of the Peak AIS system.
Report and present research findings and developments clearly and efficiently, both internally and externally, verbally and in writing.
Drive and engage in team collaborations to meet organisational goals.
Remain at the forefront of new and cutting-edge data science capabilities and identify opportunities for utilising them for the benefit of Peak and our clients.
Regular client visits to discuss progress of the project and clarify uncertainties.
We are building the fastest, smartest and most customer focused team in the enterprise AI space. You’ll align with our values and help promote the Peak culture:
Open - closely partner in a tight-knight and dynamic team of customer-centric teammates.
Straightforward – customer centric and relationship oriented to the core.
Driven – positive attitude and willingness to be hands on in a fast paced growing company.
Curious - interested in technology, the AI space and how it supports organisations to grow.
Smart – ability to solve problems and deliver results by collaborating with cross-functional teams.
Responsible - effectively balance competing priorities and support decisions that best support the team & customer.
Proven ability to lead successful forecasting and optimisation projects.
Knowledgeable within a specific area, such as logistics, warehouse optimisation, price optimisation and demand forecasting.
Experienced at applying machine learning techniques to model complex business operations problems.
A passion for remaining at the forefront of new and cutting-edge data science capabilities, and can identify opportunities for utilising them for the benefit of Peak and our customers.
Proficient at communicating directly with customers to highlight insights drawn from their data.
Ability to clearly articulate technical information to a non-technical audience.
You will have a BSc or equivalent in Computer Science, Mathematics (Statistics and or Operational Research), Neuroscience, Physics, Engineering or other numerate subject.
Mentoring, supporting and/or coaching other data scientists to deliver results.
Not required but would be great:
A Masters or PHD in a numerate subject such as those highlighted above.
You are used to working with varied data sets, both structured and unstructured, and be able to adjust between the two.
Experience in statistical modelling, machine learning, data mining, unstructured data analytics and natural language processing.
Proficient in statistical and other tools & languages, specifically R and/or Python.
Familiar with relational databases and have an intermediate level knowledge of SQL.
Sound understanding of a wide range of statistical techniques and can understand and present findings to a non-technical audience.
Opportunity to help scale Peak and make a large impact in a fast-growing company with global ambitions.
Competitive compensation package, share options, pension and generous holiday entitlement.
A fantastic working environment with open communication channels, flat hierarchy and a truly collaborative style.
Peak has a strong culture that we live by, based on shared values: we are open, straightforward, smart, responsible, curious and driven.
Regular team days and social activities.
Cycle to work initiative and public transport season ticket loan.
Learn from like minded and talented individuals across multiple disciplines.
Founded in 2014, Peak has grown rapidly, in line with the world’s fastest growing SaaS companies, winning numerous awards and attracted significant funding to support the company’s ongoing investment in machine learning and AI technologies. This furthers our mission to become the world’s leading AI System business.
Headquartered in Manchester, Peak also has offices in London, Edinburgh, Jaipur and Brisbane. Our clients include established FTSE 250 retailers, manufacturers and well-known brands alongside highly innovative and tech-savvy businesses.
Peak is an Advanced Amazon Web Services (AWS) Partner and holds Machine Learning Competency status.
Find out a whole lot more on our website