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.

Gas Demand Analyst - Wood Mackenzie

Wood Mackenzie’s Gas and LNG team is responsible for the development of gas analysis and price forecasting. The team produce regular reports for a suite of gas, LNG and energy market subscription-based services. This role will be based in the Edinburgh office, joining over 15 analysts, focussing on a combination of global and regional (Europe, Middle East, Africa, Russia and Caspian) market dynamics.

The analyst will be responsible for the formation of Wood Mackenzie's European gas demand outlook and the associated development of proprietary tools, models and methodologies. The role has statistical elements, but will also require the candidate to follow broader market, and policy developments, allowing the analyst to develop into a well-rounded expert.

The role offers the successful candidate a tremendous opportunity to develop into a leading expert in European gas markets, both internally and externally. As such they must have a passion and drive to become a recognised expert. While the analyst's main role will be the ongoing development of tools and models to support gas demand outlooks, they must be comfortable interpreting and articulating their findings and delivering to colleagues and clients in a timely and insightful manner.

Download pdf for more information: Gas Demand Analyst Wood Mackenzie

Business Intelligence Officer - sportscotland

Are you passionate about helping people use data to make better decisions?

Do you want to apply your skills in R and Shiny Apps to help sportscotland build a world class sporting system for everyone in Scotland?

This is an exciting role to champion the greater use of data in sportscotland and across the sport sector. Our emerging priorities focus on providing opportunities for all people in Scotland to participate and progress in sport. You will work with internal staff and partners from across the sport sector including governing bodies of sport, local authorities and leisure trusts.

To be successful in the role you will have skills and experience in R, Python or another programming language along with Shiny Apps/Power BI or other data visualisation tools. Data is only useful if people use it, so you’ll need strong communication skills and an ability to engage people and use the findings to inform decision making.

Based in Glasgow

Full Time (we would also consider 2 x part-time applicants), Permanent

Closing date for completed applications: 30 November 2018

Data Science Support - Swipii

Location: Glasgow City
Days: 2 or 3 days a week (from November 2018)
Rate: £98.40 per day
Contract duration: Time limited (likely 6 months minimum with potential for extension)
Contact: Darran.gardner@thedatalab.com (Ref: TDL/Swipii)

Swipii is a Customer Loyalty & Marketing CRM suite that allows businesses in the physical space to grow repeat customer visits, increase average customer spend and grow business revenue. Our product allows users to link their bank cards to the loyalty program which will automatically work to assign points and make the payment card into a universal loyalty card at e.g. barber shops, beauty salons and coffee shops across the UK. For more information, visit: https://swipii.com

Project focus

The Data Lab is currently engaged with Swipii on a project linked to its summer 2018 launch of a BETA of the card linking system. The Company has been using Mixpanel, a SaaS analytics tool, to track data generated from the app and is aiming to collect the data to allow them visibility into the full customer journey from start to finish. The intention is to supplement the data from the app with information from their CRM tool, Salesforce, regarding marketing, sales, and churn.

Sumdog: Data Scientist

Sumdog is an online games-based maths & English learning service used by millions of children worldwide. We're at the forefront of an exciting ed-tech revolution. We capture a detailed understanding of each child's strengths and use this to deliver tailored mastery learning. The results are spectacular. We work with a huge amount of data and this gives us an invaluable insight into the experience our users have. The success of Sumdog relies on our ability to understand this data and engage everyone: teachers, parents and most importantly the students.

We are looking for someone to join our Education Research team as a Data Scientist. This is a 9 month fixed term role for maternity cover.

More information: Sumdog Data Scientist

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.

Global Surface Intelligence - Various Roles

GSI is looking to fill some exciting new posts to be located in their new offices in Edinburgh. Scotland has a dynamic and exciting space tech scene and is home to some of the world's leading space technology companies. Edinburgh is a fabulous city to be based in and offers all the excitement of Capital city living, but only 15 minutes from the country or the sea.

Here are the current openings in GSI:

Principal remote sensing specialist

Senior software engineer

Web development - API specialist

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.

Chenope: Front and Back-End Developers

Chenope is a bootstrap, or self-funded start-up, that creates high value and novel analytics targeted at organizations. Chenope was founded by experienced founders who had previously achieved some success bootstrapping a startup, and already boasts a partnership with a multi-billion dollar company and a sweeping patent that was granted in its entirety. We are a cross-Atlantic startup; most of our team is in Edinburgh, or in the San Francisco area. We're still fairly early stage, which means that each person has a lot of responsibility and a lot of room to grow; though salaries are still low, equity grants are very generous. If you want to join a startup with technology that is good enough that customers are willing to pay for it, work on interesting problems, and learn what it takes to build a real business, we could be a great place for you. There are not many like us.

We are currently looking for both front-end and back-end developers. We will consider both full-time and part-time applications. All applicants must have the right to work in the UK, EU, or US - no exceptions unfortunately.

Front-end or Full-Stack Developer: Experience developing reasonably complex web apps that have been used in a commercial setting. Experience with visualizations is a plus, as is experience with React and other similar Javascript frameworks - we're agnostic as to which one. Experience with user interface design likewise. Ditto for knowledge of AWS. An interest in analytics is helpful.

Back-end developer - Algorithms: Must have strong background in IR, NLP, or a similar discipline, or a strong math and algorithms background. You must be able to implement the tools as well as develop the underlying algorithms for this work, including the construction and manipulation of large graphs and hypergraphs. We strongly prefer someone with a history of having worked on high-value IR, SNA, or data mining problems and who has the proven capability to do original work. Excellent knowledge of Java preferred. Any kind of degree or background okay - our interest is solely in your capacity to do the work.

Prior startup experience preferred, but is not required. To apply, please send your resume with at least a brief cover letter to work@chenope.com.

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