External Career Opportunities

The following opportunities are offered by organisations external to The Data Lab. Our aim is to support the Data Science community by creating links and increase visibility on current work and professional development opportunities. If you are interested or have any questions regarding any of these vacancies, please contact the offering organisation directly.

Global Gas Model Research Associate - Wood Mackenzie

For the past 45 years, we have established our reputation as a trusted source of knowledge and forward- looking insight for the world's most innovative organisations.

Our teams are located around the world, and deliver research and consulting projects based on our assessment and valuation of thousands of individual assets, companies and economic indicators such as market supply, demand and price trends. As a result, we can count the world's key energy institutions and governments among our most loyal clients.

We are pleased to offer a great opportunity for a Global Gas Model Research Associate to join our Gas Global Model (GGM) team in Edinburgh. The GGM team is responsible for our short-term and long-term gas supply, demand and pricing forecasts. The team delivers two bi-annual global gas updates and supports our clients in their use of GGM.

Joining a team of gas modelling experts, you will quickly contribute to the delivery of our biannual Global Gas Model (GGM) update. You will be responsible for managing the flow data into and out of the GGM ensuring all elements of gas information are updated in a timely, accurate and consistent basis. You will be expected to gain an in depth understanding of how the model works, developing into a "power user" of the GGM with a comprehensive understanding of global gas dynamics.

Collaborating with the rest of the GGM team, you will work with colleagues across geographies and time zones to deliver world-class gas research. You will have the opportunity to broaden you gas knowledge, both in terms of geographic scope and the depth of gas value chain analysis. You should be mathematically astute, proficient at data management and keen to learn about all aspects of gas supply and demand and how gas markets evolve and interact on a global basis.

Closing date: 27th February 2019

Head Of Data - ScotlandIS

ScotlandIS is the membership and cluster management organisation for Scotland's digital technologies industry. We're at the heart of Scotland's digital economy, shaping, changing, and driving it forward and working with members and partners to support the wider digital transformation of business and society.

An exciting opportunity exists for a highly motivated individual to lead and develop the data cluster in Scotland, building community, developing initiatives and collaborating with partners and stakeholders, as part of a project led by ScotlandIS.

The post will be based at the ScotlandIS office in Linlithgow, but will involve regular travel within Scotland.

This is a high-profile role requiring a strong business development and technical background that will build on work already undertaken to understand and map the emerging data landscape in Scotland. The post holder will engage with Scottish industry and other stakeholders to expand the cluster in Scotland, build a strong community of interest, attract inward investment and deliver a compelling international proposition. Reporting to the CEO, the Head of Data will act as an advocate for the cluster, strengthening, representing and channeling this vital emerging Scottish capability.

An expert at making things happen, with a good technical grasp of the emerging data science landscape, the Head of Data will develop a clear strategy and action plan to enhance capabilities across both the supply and demand elements of the data sector, and liaise with experts within academia.

The post-holder must also be able to demonstrate success in business development as they will also be responsible for developing income streams to support cluster and broader activities, including generating increased membership income for ScotlandIS.

This is a full-time role, initially for two years, with the possibility of the contract being extended dependent on performance.

Head Of Cyber - ScotlandIS

ScotlandIS is the membership and cluster management organisation for Scotland's digital technologies industry. We're at the heart of Scotland's digital economy, shaping, changing, and driving it forward and working with members and partners to support the wider digital transformation of business and society.

An exciting opportunity exists for a highly motivated individual to join ScotlandIS and lead and develop the emerging cyber cluster in Scotland, building community, developing initiatives and collaborating with partners and stakeholders.

The post is based at the ScotlandIS office in Linlithgow, but will involve regular travel within Scotland.

This is a high-profile role requiring a strong business development and technical background that will build on work already undertaken to understand and map the emerging cyber landscape in Scotland. The post holder will engage with Scottish industry and other stakeholders to expand the cluster in Scotland, build a strong community of interest, attract inward investment and deliver a compelling international proposition. Reporting to the CEO, the Head of Cyber will act as an advocate for the cluster, strengthening, representing and channeling this vital emerging Scottish capability.

Highly effective at making things happen, with a good technical grasp of the emerging cyber landscape, the Head of Cyber will develop a clear strategy and action plan to enhance capabilities across both the supply and demand elements of the cyber sector, work with stakeholders in the private, public and the third sector, and liaise with experts within academia.

The post-holder must also be able to demonstrate success in business development as they will also be responsible for developing income streams to support cluster and broader activities, including generating increased membership income for ScotlandIS.

This is a full-time role, initially for two years, with the possibility of the contract being extended.

Technical Writer(s) for Data (2) - CodeClan

CodeClan is an award winning digital skills academy delivering cutting-edge technology training to a wide range of individuals and organisations across Scotland.

With an established immersive Professional Software Development course, we are now developing with an immersive Data Analysis for Business Course. We are looking for two course content writers; available immediately, who are able to summarise complex ideas in clear and compelling ways.

The roles are fixed term of up to 2 months and have the potential to develop into a course tutoring roles for the right individuals. The roles can be remote-based as long as the individuals are able to travel to Edinburgh for regular face-to-face progress meetings.

The purpose of the roles is to develop the detailed content, exercises and example datasets for the new Data Analysis for Business course.

The roles will involve:

-Developing lesson plans to cover agreed learning objectives

-Writing the lesson content

-Identifying examples and exercises that demonstrate the learning objectives

-Defining homework and lab-based exercises that reinforce the learning objectives

-Creating example outputs and datasets to support all the required content

Closing date: 15th February 2019

If you are interested please send us your CV and a short note saying what you think you can bring to the role to jobs@codeclan.com.

Lecturer in Data Engineering

This is an exciting opportunity to join the School of Computing at Edinburgh Napier University. We are looking for a Lecturer in Data Engineering. The responsibility of the Lecturer in Data Engineering will be to bring the rigor of Software Engineering to the processes of the Data Scientist.

Applicants will be expected to teach and research in the areas of Date Engineering. Specifically, we are looking for people who have good working knowledge of industry standard tools in data pipeline building, such as Scala, Hadoop, Python, Amazon Web Services, and database systems.

The School is currently developing a new MSc in Data Engineering and a Graduate Apprenticeship in Data Science. As a Lecturer you will need to work with local industry in the development, delivery and monitoring of teaching within Data Engineering, and would ideally come with existing strong industry contacts to support such developments.

Application Closing Date: 26 February 2019

Data Assistant - NHS Lothian

NHS Lothian is responsible for meeting the health needs of circa 800,000 people living in and around Edinburgh. We employ approximately 27,000 staff and provide a comprehensive range of primary, community and acute care services for the populations of Edinburgh, Midlothian, East Lothian and West Lothian. Across all areas of care, we seek to provide specialist and general services fairly and efficiently and to the highest standards.

This is a full-time Data Assistant post based at the Royal Infirmary of Edinburgh.

NHS are looking for a self-motivated individual with database and spreadsheet experience and the ability to pick up new skills quickly. The candidate will join the team in extracting data and providing support to the Department of Transplant Surgery to assist in delivering a high quality service.

For an informal discussion please contact: Hilary Guthrie/Lisa Norman Data Managers 0131 242 1710 Hilary.guthrie@nhslothian.scot.nhs.uk

Algorithms Engineer - Thales

Thales people architect solutions that are relied upon to deliver operational advantage at every decisive moment throughout the mission. Defence and armed forces customers rely on us to deliver the full range of defensive systems for land, sea, and air. From early warning, to threat neutralisation, our platforms cover all levels from very short-range systems, to extended protection across the entire battle-space including Air Traffic Management, Vehicles and Tactical Systems and Missile Defence, Optronics, and Radar.

Do you have a Bachelors or Masters degree in a numerate, scientific or engineering subject coupled with experience conducting research activities? Are you interested in a career as an Algorithms Engineer or Data Scientist? We have built up a team passionate about developing products for a safer world and we’re now looking for like-minded engineers to join us.

Thales Optronics in Glasgow design and manufacture a diverse range of Optronics products including thermal imagers, laser rangefinders, vehicle sighting systems, submarine periscopes and Optronics masts.

Due to our dedication and drive to increase knowledge and capability on neural-networks, we’re seeking talented Engineers, with strong mathematical and machine learning skills who can apply their knowledge in an innovative Algorithms Engineering role.

Python Engineer - Onzo

ONZO is a data science and analytics scale-up primed to disrupt the energy sector. We analyse smart meter data, providing a depth of insight that helps our customers understand their energy usage and ultimately helps them to save energy. Our insight to this data also helps utilities better manage their network, optimise their business and engage with their customers. The vision for ONZO's future is compelling, and with backing from private equity firms such as West Coast Capital we're looking forward to having a massive impact over the next few years.

You will be part of a team of talented engineers based in our Edinburgh Codebase office and will work closely alongside the Data Science & Product teams. We're a friendly bunch with a huge range of backgrounds, and we strive to provide a welcoming, supportive and sociable working environment.

Data Scientist - Paywizard

Be a part of the future of Pay TV!
Experience the excitement of a fast paced, cutting edge technology environment with the feel of a start-up but the experience and expertise of 20 years in the market.

A global award-winning company
With over 100 Pay TV clients using our Paywizard Agile platform to manage and support their subscribers effortlessly and securely across multiscreen, we are making waves on a global scale. Our award-winning platform has propelled us into the spotlight on a global scale winning ‘Best in Show’ at NAB show in Las Vegas in both 2016 and 2017 as well as a further award from TVB Europe and IBC in Amsterdam.

Enjoy the flexibility of working hours for a great work/life balance!
At Paywizard, we believe a great work/life balance is key to our thriving culture, inspiring a creative, insightful, fun and productive environment for all.

Download pdf for more information.

If you are interested in the vacancy please email your CV to this address including Data Scientist Vacancy: FAO Kim Donnelly in the subject line: recruitment@paywizard.com

Barrachd - Advanced Analytics Consultant (Predictive, AI, ML)

This is an exciting opportunity for an enthusiastic, curious and intelligent individual to join a fast-growing analytics consultancy.

We are one of the UK’s top software businesses. Offering expertise in a wide range of data and analytics competencies - from creating complex planning solutions and automating BI reporting, to data warehousing and predictive analytics – our wide range of challenging opportunities continues to grow and we now need to add an Advanced Analytics Consultant to our team.

In this role you will help our customers go beyond the solid foundations of Business Intelligence and complex planning solutions, to employ data science techniques, machine learning, predictive modeling and other skills inherent to AI.

While some business or consultancy experience would be great, we are looking for someone who is intelligent, explorative and passionate about data to assist in the creation of scalable, efficient, automated processes; large scale data analysis; and model development & implementation.

More information: Barrachd Advanced Analytics Consultant

Digital Consultant - Optimat

Optimat is searching for a consultant with a background in digital technologies and markets. The consultant will work on a portfolio of projects for both public and private sector clients, collaborating with other consultants where appropriate. Typical projects include market assessment of new or emerging digital technologies and providing support to new digital technology initiatives and the development of the digital technology sector.

Mudano - Python and SQL Developer

We capture data on projects – such as daily tasks, meeting notes, team sentiment, resource information and project progress – and use it to guide better decision-making. Using machine learning we can predict the path of a project, helping teams to foresee issues, improve productivity and deliver efficiently.

You will be combining information from a variety of sources to build up a suite of business leadership reports and KPIs. You will produce a series of dashboards and reports based on world class data visualisation techniques. You will need to update existing APIs written by our team to integrate online tools with the database and also write new APIs to integrate new tools. You will be working directly with exceptional data experts from across our business.

View more details

EngD with St. Andrews (Large-Scale Data Processing using Heterogeneous Parallel Systems)

Self-driving autonomous vehicles and other AI applications, such as natural language processing, generate massive amounts of data from a large number of sources. This requires fast and energy-efficient processing on different types of platforms ranging from resource-constrained embedded and mobile devices to powerful desktop systems and data center hardware.

This project is an exciting opportunity to work with Codeplay's research team on targeting such large-scale processing to the most recent heterogeneous platforms (including automotive, comprising e.g. a mixture of CPUs, GPUs, DSPs and FPGAs), with the aim to improve performance and portability of the algorithms across a wide range of different platforms.


University of Edinburgh: Fellowships in Data-Driven Innovation

Highly prestigious 5-year tenure track fellowships focussed on data-enabled research and innovation applied to any discipline with the distinct possibility of an open-ended contract. As women and members of ethnic minorities are currently under-represented in posts at this level we particularly encourage applications from members of these groups. We are committed to support individuals looking to return to research after a career break for family, caring or health reasons.

Building on the outstanding successes of our previous tenure-track Chancellor’s Fellowship programmes and our world class research performance, we are investing in a further cohort of 30 next generation research innovation leaders of the highest quality who use data science within their work, with a particular focus on:

  • Digital Technologies
  • Space and Satellite Analysis
  • The ‘AgriTech’ initiative
  • Robotics and Autonomous Systems
  • Health and Social Care
  • Financial Services and Fintech
  • Public Sector (‘Govtech’)
  • Creative Industries, Tourism and Festivals

Based in the heart of one of the world’s finest cities, these prestigious 5-year awards support early career researchers and academic innovators of the highest promise from all countries to develop their careers in a supportive, high quality environment.

Latest News


Mailing List


To recieve updates from The Data Lab please enter your details below.