Careers at Predyktable

Predyktable is an advanced data analytics company, leveraging AI and predictive analytics to dynamically model and understand the impact of consumer behaviour on demand and the downstream effects within the supply chain, helping us support companies to improve operational efficiency. We are an ambitious and rapidly growing startup that thrives on innovation and embraces a remote-first work culture. We are seeking a seasoned Data Scientist with a strong machine learning background, deep expertise in retail hospitality and supply chain. Join us in shaping the future of data-driven businesses.

As a Data Scientist at Predyktable, you’ll play a pivotal role in redefining the retail & hospitality industry through data-driven insights. In this remote-first role, you will lead and machine learning projects, collaborate with cross-functional teams, and drive impactful insights that have a direct impact on our business. If you are passionate about machine learning, and thrive in a dynamic start-up environment, we invite you to be a key contributor to our mission.

Machine Learning Expertise: Apply advanced machine learning techniques to solve complex retail and hospitality supply chain challenges, including demand forecasting and labour and stock management and optimisation.

Consumer Domain Knowledge: Utilise your deep understanding of the retail & hospitality industries, especially with regards to demand forecasting and labour and stock management and optimisation, to inform data-driven decisions and strategies.

Independent Problem Solving: Take ownership of complex data science projects, work independently, and drive them from inception to execution, delivering high-impact solutions.

Take the Initiative: We are a small company exploring the art of the possible, some of the challenges we face are ambiguous, our ideal candidate is equipped to take initiative and will thrive in this environment.

Data Exploration and Analysis: Analyse large datasets, identify trends, and develop data-driven recommendations for marketing and segmentation strategies.

Model Development: Build and deploy predictive models integrating domain understanding that generate operational efficiencies and drive business growth.

Collaboration: Collaborate remotely with cross-functional teams, including marketing, product management, and technology/engineering to integrate data science solutions into business operations.

Communication: Effectively communicate complex technical concepts and insights to non-technical stakeholders, influencing data-driven decision-making across the organisation.

• Master’s or Ph.D. in Computer Science, Data Science, Statistics, or a related field.

• Proven experience as a senior data scientist, with a strong focus on machine learning and experience in operational research is a plus.

• Extensive background in the retail/hospitality industry or other consumer facing business.

• Advanced proficiency in Python is required.

• Cloud Experience – GCP (preferred), Vertex AI, AWS, Azure

• Expertise with machine learning libraries and frameworks (e.g., PyTorch, TensorFlow,  LightGBM/XGBoost, scikit-learn).

• Experience with MLOPs, deployment, containerisation, source control.

• Exceptional problem-solving skills and the ability to work independently.

• Strong project/team leadership.

• Excellent communication and collaboration skills.

Our values are intrinsic to how we operate as a business and as human beings. We may be an innovative technology business, driven by data, machine learning and AI, but our values underpin every single achievement we make. We are human. We care about our people and clients. And we know that Predyktable people will share our values and that will lead to success for us all.

Empathy– People are complex; every single one of us is different and has different needs at work and home. We encourage and embrace a workplace which is tolerant. A place where people listen to one another’s needs, a place of understanding and a safe place which promotes positive mental health. Well-being at work and home is non-negotiable.

Diversity– We love building our team of amazing humans from all different backgrounds. We know diversity and inclusivity strengthens our proposition, brings new angles, introduces fresh thinking and enriches us all.

Creativity– Innovative data science businesses are driven by creative thinking. All the data in the world is pointless without the ideas and creative skillset to identify how it could benefit organisations or people. Creativity fuels new ways of working, problem solving and ensures we remain relevant.

Fairness– Of course, all businesses are going to say they are trustworthy and have integrity. At Predyktable we want every single decision made by every single person in the company to be done with honesty and fairness at its heart. Being fair with each other and all those we engage with in business is often overlooked, but is hugely powerful. We all want fairness in life. Fairness drives ethical decisions and has truthfulness and integrity at its core. Being fair builds trust.

The annual salary for the role is £45 – 65k depending on experience.

We offer a benefits package which includes:

• 25 days’ holiday (in addition to UK bank holidays)

• Flexible working

• Private health care plan

• Free gym membership

• Pension scheme (up to 7% contributory scheme)

Predyktable is ambitious and rapidly growing startup that thrives on innovation and embraces a remote-first work culture. We are seeking a senior data engineering technologist, who is looking for a new challenge in the AI world. You’ll be responsible for the technology stack that supports our Data Science team on Google Cloud, including client facing API’s, data transformation workflows and the underlying infrastructure provision. This is a hands-on role, that will expand to more leadership and decision-making as the business grows.

Predyktable is an advanced data analytics company, leveraging AI and predictive analytics to dynamically model and understand the impact of consumer behaviour on demand and the downstream effects within the supply chain, helping us support companies to improve operational efficiency. We are an ambitious and rapidly growing startup that thrives on innovation and embraces a remote-first work culture.

The foundation principle of our platform is to be secure and scalable whilst providing the best possible capabilities to our Data Science team. It also needs to provide a modern interface for our clients to interact and utilise the ML models and their supporting data. We need to be able to:

• Quickly ingest data from a variety of sources.

• Transform it into standardised data schemas.

• Store the data securely.

• Develop, train, and deploy ML models.

• Present our models and data through our visualisation solution and APIs.

Are you a technical visionary with a passion for building high-performance engineering teams?  Do you thrive in fast-paced environments and possess the leadership skills to guide a team towards success?  If so, we want you on our team!

This Technical Lead role is critical in shaping the future of our engineering team at Predyktable. You’ll wear multiple hats, developing our platform, leading on technical decisions, and fostering a collaborative Agile environment.  Leveraging your expertise in Python, Google Cloud Platform, and Terraform, you’ll ensure our engineering team delivers high-quality solutions while staying ahead of the curve in the ever-evolving AI landscape.

• Working in the Engineering team to deliver tickets defined by the Product Owner.

• Lead decision maker for technology decisions, for example application structure, library usage, coding standards etc.

• Working with the Technology Director to set technical product roadmap and make broader architecture decisions.

• Lead recruitment for further expansions of the engineering team.

• Collaborating with the Technology Director and Product Owner to define Agile ways of working for the engineering team.

Required:

• Highly proficient in Python with experience in Data manipulation (pandas, NumPy etc) and API development (FastAPI, uvicorn etc).

• Experience working with Google Cloud Platform, including Cloud Run, Cloud Functions, Cloud Build etc.

• Experience working with Terraform to manage infrastructure.

• Confident in picking up new technologies or toolsets, this is necessary due to the nature of a startup in a fast-moving technology space (AI).

• Experience working in, and leading, a distributed or remote team.

Preferred:

• Experience in an AI environment.

• Experience working in a fast-paced, client-service environment.

• Excellent communication and interpersonal skills.

Some of the traits we’re looking for in our team are:

• People that fit our culture and who believe in our mission.

• Able to work around ambiguity and use their initiative.

• Who are creative thinkers and problem solvers.

• Team players who can work collectively to find ways forward.

The annual salary for the role is £65k-£75k depending on experience.

We offer a benefits package which includes:

• 25 days’ holiday (in addition to UK bank holidays)

• Flexible working

• Private health care plan

• Free gym membership

• Pension scheme (up to 7% contributory scheme)

Predyktable is ambitious and rapidly growing startup that thrives on innovation and embraces a remote-first work culture. We are seeking an experienced Data Analyst with a strong ability for conversing with Business stakeholders and technology teams, ideally from several different industries, as well as technical capabilities for data analysis and visualisation.

Predyktable is an advanced data analytics company, leveraging AI and predictive analytics to dynamically model and understand the impact of consumer behaviour on demand and the downstream effects within the supply chain, helping us support companies to improve operational efficiency. We are an ambitious and rapidly growing startup that thrives on innovation and embraces a remote-first work culture.

The foundation principle of our platform is to be secure and scalable whilst providing the best possible capabilities to our Data Science team. It also needs to provide a modern interface for our clients to interact and utilise the ML models and their supporting data. We need to be able to:

• Quickly ingest data from a variety of sources.

• Transform it into standardised data schemas.

• Store the data securely.

• Develop, train, and deploy ML models.

• Present our models and data through our visualisation solution and APIs.

Do you have a passion for data and a knack for translating complex information into actionable insights? Are you a skilled communicator who can bridge the gap between technical teams and business stakeholders? If so, we want to hear from you!

This Client Data Analyst role is crucial in ensuring our data science and engineering teams have the information they need to develop effective forecasting solutions for our clients. You’ll play a key role in working with the Customer team to understand client data, document the data landscape, and develop client-facing dashboards that provide valuable insights.

• Collaborate with the Customer team to understand the clients’ business, data landscape, and how it relates to their target use case.

• Document the client data landscape, including data sources, formats, and any relevant information for our Data Science team for model training and Data Engineering team for data transformation jobs.

• Lead the development of client-facing dashboards, working closely with the Customer team to ensure they meet the specific needs of our users and deliver actionable insights.

• Own the roadmap for our visualisation solution, ensuring it’s scalable and fit for purpose for our growing client base.

• Perform ad-hoc data analysis tasks to support the Customer team as needed.

Required:

• Proficiency in SQL.

• Experience working with BigQuery and Google Cloud Platform.

• Expertise in data visualisation tools like Tableau.

• Experience working with and understanding a diverse range of business data.

• Experience understanding the needs of business users and delivering clear and concise data visualisation solutions.

Preferred:

• Experience in a data analyst or similar role.

• Experience working in a fast-paced, client-service environment.

• Working knowledge of Python for data manipulation (or similar scripting language).

• Excellent communication and interpersonal skills.

Some of the traits we’re looking for in our team are:

• People that fit our culture and who believe in our mission.

• Able to work around ambiguity and use their initiative.

• Who are creative thinkers and problem solvers.

• Team players who can work collectively to find ways forward.

The annual salary for the role is £45k-£60k depending on experience.

We offer a benefits package which includes:

• 25 days’ holiday (in addition to UK bank holidays)

• Flexible working

• Private health care plan

• Free gym membership

• Pension scheme (up to 7% contributory scheme)