Our Mission

Blend is an award-winning pure play data consultancy who help people do data right through project delivery across strategy and consulting, data science and BI, and data engineering. As a trusted Data & AI partner we co-create value with clients across a wide variety of industries. Our company has made the Inc. 5000 list of Fastest Growing Companies and currently have offices in Edinburgh, the US, Uruguay, and India. We are an accredited “Great Place To Work” company across all our office locations, with a shared and active focus on DEI initiatives and championing representation in all aspects of our work. 

By combining our teams’ expert technical knowledge with a practical approach to value creation, we deliver outcomes that make a real change for our clients. From using computer vision to remotely monitor crops to implementing a BI dashboard to help swimmers win more medals – nothing we do is designed to be left on the shelf.  

This graduate role could sit within our Business Intelligence, Data Science, or Data Engineering team. As part of your application, you'll complete a short questionnaire to indicate your interests. We'll use this, along with your CV, to discuss internally which roles best match your skillset: you won't be limited to one team based on your initial preference. 

What is our team like?  
Our international team is a balanced mix of varying expertise and experience. Within our team, there is plenty of room for personal ideas and personal development. A new challenge is always lingering on the horizon. What’s more? Fun! We regularly do fun things together: gaming nights, social sports leagues, book clubs, Thursday afternoon drinks, and much more.  

We are looking for talented graduates who are interested in a career in data and want to join our dynamic team. This opportunity will be full-time and will be based from our Edinburgh office.  

Want to kick-start your career in Data? Join our All-Star program!  
Blend’s All-Star Program is a 12-month, full-time programme designed to launch your career in data and AI, with opportunities to develop into roles across Data Science, Data Engineering, and Business Intelligence. You’ll receive hands-on training from Blend’s field experts while working directly on real client projects. 

The programme offers a strong foundation, giving you the chance to develop in areas that align with your strengths and interests, while meeting our business needs. You’ll collaborate with teams across Blend, including Data Engineering, Data Science, Business Intelligence, Data Consulting, Delivery, and Commercial, and learn how end-to-end data and AI projects are designed, delivered, and brought to life. 

Alongside building deep technical skills through structured training and industry certifications, you’ll also develop essential professional skills such as communication, project management, and personal leadership. By the end of the programme, you’ll understand how all teams work together to create meaningful, real-world business impact. 

Start date All-Star program: October 2026!  

A Blend Data All-Star will develop their skills in:  

• Contributing to the design, development, and maintenance of ongoing data products that deliver business value  

• Working with business leaders to solve unique business challenges using advanced analytical techniques 

• Implementing models, data structures, and complex business transformations in an enterprise production environment  

• How to build, test, and evaluate machine learning and AI-driven solutions, including real-world GenAI use cases, and processes for feature selection and engineering 

• Learning best practices in data management, preparation, and analysis to ensure data is reliable and fit for purpose 

• Working with and securely deploying cloud-based technologies on platforms such as Azure and AWS 

• Creating advanced data visualisations, data modelling, and creating dashboards and business applications using software such as Power BI and Streamlit 

• Writing accompanying documentation with data assets and product deliverables 

These are the qualities we look for in our All-Stars, but you don’t need to tick every technical box to apply: 

• You have a degree in computer science, mathematical analytics, business with data, or another quantitative/STEM based field or equivalent practical experience in data, analytics, or programming  

• You have a great learning and teamwork attitude with a desire to gain experience across a wide range of technologies and techniques 

• You are willing to work at our office in Edinburgh at least 2-3 days a week  

• (Desirable) You have experience in developing code and/or applications using software such as PySpark, Python, SQL, Java, etc.  

What to expect from us:  

• A fully paid training path toward becoming a professional in data 

• An annual salary of £34,000 

• 28 days annual leave plus flexible UK bank holidays 

• Additional benefits such as health insurance, discount clubs, and more after passing probation 

• A guided path for personal and professional development in which you obtain valuable certificates 

• The chance to develop yourself in an inspiring, international growth company 

• You’ll join a group of data engineers, strategists, business intelligence and data science experts that love to push boundaries, challenge each other to get the best possible results, and have fun while doing that 

 A diverse workforce is a strong workforce 
To deliver growth at Blend and for our clients, we have a responsibility and unique opportunity to positively impact the workforce. Diversity has played a critical role in our history, our growth, and continues to have a profound impact on our success. We are determined to have equality in the workplace, within our team and as an extension of our clients’ team. 

This is not the work of the moment, this requires continued learning and purposeful actions. We are investing resources to understand and improve the sourcing, selection and retention of the talent we hire. 

We are aiming to host a pizza night for potential candidates to hear more about the company and the role in Edinburgh in May. We're also conducting first interviews during the pizza night. If you would like to be considered for this in-person night, we would recommend applying prior to May.