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.

Lead Data Scientist - HelloRelish Inc

Relish is the world's first ever personal trainer for relationships. HelloRelish, Inc. was founded in 2018 by an experienced entrepreneur, it's financially backed by a top tier Silicon Valley venture firm, and its first product is an app called Relish. Relish uses miro-learning techniques to deliver a customised relationship plan to make all the relationships in your life more satisfaying and more likely to last. The Relish customer gets empirically proven advice, backed by a panel of expert advisors that is timely, tailored, and - most importantly - action-orientated.

Walking the fine line between young/fun/engaging and highly authoritative, Relish aims to take the hard work out of relationships for people. We give time-pressed people little tweaks that make a big difference.

Already live in both app stores in the US, generating revenue, and seeing significant traction amongst an impassioned user base, Relish is creating an entirely new category of Relationship Management.

This is an amazing opportunity to apply your Data Science expertise to address one of the most fundamental problems out there: the improvement and maintenance of human relationships. Uncovering data-led insights to improve the efficacy of our content and recommendation algorithms is a key part of this role.

This is an exciting and mission-driven new business, aiming to change the relationship space, and you will be a pivotal player in helping to shape the product. You will work with an experienced product development team who will embrace your suggestions, and act on your findings. Your passion for data is essential to make our product smarter and more impactful for our users.

New users are subscribing at an ever-increasing rate, highlighting a host of new problems to solve, and providing us with the data we need to solve them. You will decide how to organise and analyse our data to achieve this; and help us to build a team, to grow this essential area of the business.

More information

Data Scientist - Machine Labs

Machine Labs is a marketing analytics startup based in central Edinburgh. We help small and medium sized businesses plan and report on their marketing. Our website is at https://www.machinelabs.com which has more information on the company.

We're looking for a Data Scientist to join the team to work closely with our CTO and software engineers working on forecasting advertising performance and forecasting lifetime values. We want someone with an interest in marketing to provide expert help on statistics, machine learning and data science.

In addition to the technical side the role also includes writing web content, podcasts and talking at conferences so we are looking for someone with excellent communication skills and who is free to travel within Europe and the USA.

The candidate will have a postgraduate qualification in mathematics, physics, statistics, data science or a related subject.

Salary is £28,000 to £40,000 with the lower salary for a graduate with no commercial experience. A higher salary may be available for exceptional candidates. Benefits include a pension, flexible working, healthy snacks and a city centre office. You also get your choice of a MacBook, Windows or Linux. Stock options will be available for this role.

Apply by sending your CV in PDF format to careers@machinelabs.com

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.

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.

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.

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