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.

Employing Multi-Modal Sensors for Personalised Smart Home Health Monitoring

This PhD project will develop software solutions that analyse data collected by sensors in smart homes being developed by AHS. The key elements of the solution are to create representations from low-level sensor data that capture the residents’ activities and behaviours of daily living, (e.g. sleeping, dressing, cooking etc.); and then to assemble these.

The project will build on work being done in the FITsense, project developing a solution using in-home sensors to predict increased risk of falls for residents of 16 smart homes being built near Inverness. New solutions are required that consider how additional health conditions and different home layouts can be integrated into a generic transferable solution.

The work will advance research in a number of areas. The application and advancement of state-of-the-art approaches in Artificial Intelligence and Machine Learning will support a shifting in focus for health care from a hospital-based model to a real time, data-driven model.

Closing date: 12 noon Monday 27 August 2018

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.

Construction Scotland Innovation Centre (CSIC) - Project Manager

Based at our Innovation Factory facility near Hamilton, the Construction Scotland Innovation Centre has an exciting future ahead expanding its range of services and activities throughout Scotland. Focusing on business, product, process and service forms of innovations, we offer advice, funding, facilitation and access to appropriate expertise to grow economic impact within the construction industry and improve Scotland's global competitiveness. We work in partnership with a range of public sector, academic and further educations organisations.

The role is based in Hamilton and will require you to travel frequently to other locations throughout Scotland and occasionally within the UK/EU/Internationally.

You will take on the development and delivery of a number of complex, strategic projects that provide direct benefit to Scotland's construction industry.

Closing Date: 14 August 2018

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

Lead Data Engineer - Department for International Development

The Department for International Development (DFID) leads the UK’s fight against global poverty, delivering aid to those in need all over the world. DFID's technical team play a critical role in helping us to change the lives of people across the world. We deliver user-centred applications and technology services to DFID staff globally, and support the organisation in generating usable data to support strategic and tactical decisions.

The Lead Data Engineer leads the Data Engineering Team in proactively developing, maintaining and enhancing DFID's in-house management information systems, a range of tools and products meeting a range of end user needs. End users include programme staff across DFID, specialists in finance, commercial, people, data and statistics, internal data scientists and external users of our open data.
You will also be instrumental in ensuring that our data architecture continues to evolve as the shape of the aid portfolio changes. You will help join it in to the common data standards for the whole aid and humanitarian sector, to deliver a common language for sharing knowledge about aid delivery.

Location: East Kilbride, Scotland

Closing Date: 15 August 2018

Data Scientist - Astrosat

You will work on the analysis and visualisation of earth observation data. Our projects focus on environmental problems - such as flood disaster response, tackling illegal deforestation, and peatland protection - and are carried out in collaboration with international partners, including the UK and European Space Agencies, NGOs, and governments across the globe. We need you to help us create products that put the power of earth observation into the hands of our users.

You will be part of a team of data scientists and work closely with software developers, designers, and business developers. The data team works primarily with Python and its open-source ecosystem of geospatial and data science libraries, free and commercial satellite imagery, and ground observations provided by third-parties.

Data analyst & systems designer - Kinworks

Kinworks is seeking a creative and forward-thinking data analyst to join a team of strategists, designers and engagement workers, to make positive change in the world.

As a data analyst at Kinworks, we will require you to provide insight that will support strategy processes, developing forecasts of demand and cost under a range of scenarios, and providing decision support for the strategy development process.

You will also be involved in supporting a collaborative of service providers to develop a shared data set, that will monitor their collective impact on outcomes.

Proficiency in excel, Microsoft BI and statistical modelling is required.

Location: Edinburgh

Term: Full-Time Position On Short-Term Contract (With Possibility Of Renewal)

Salary: £25,000 Per Annum Pro Rata

Start: As Soon As Possible

Software Engineer - UrbanTide

This is a fantastic opportunity to join a start-up in the stages of accelerating growth and proven traction with our core product USMART - that consumes, analyses and visualises data using advanced big data technologies to make smart cities and communities. You will be based in our CodeBase office, part of a vibrant start-up community in the middle of Edinburgh.

You will work with our team to develop and implement our scalable Big Data platform architecture. Our main language is JavaScript, but we will also use Python and/or Scala for data analytics. You will build, test and document microservices handling data ingestion and publication of static and streaming data sources. You will deploy services on Amazon Web Services via Docker containers and take part in measuring and improving overall system performance.

Download pdf for more information

OCEA: Economic Strategy Economic Statistics Data Scientist

This post is based in Scottish Government, Atlantic Quay, Broomielaw, Glasgow, and reports to the C2 Unit head for Economic Statistics.The post holder will also work alongside three teams of statisticians who deal with Trade, Labour Market and Business & Innovation Statistics.

The Economic Statistics Unit is based in the Office of the Chief Economist Directorate. The post-holder will work closely with a wide range of stakeholders, including other analysts, policy colleagues and a wide range of statistics users.

This post is focused on improving the visualisation of the data underlying the Unit’s publications and other statistical outputs and making the most use of the Scottish Government Open Data Publishing Platform (ODPP) http://statistics.gov.scot/home The post-holder will help design and implement several visualisations and dashboards using R Shiny and JavaScript.

Salary: B2 band Fixed Term Appointment-Salary £28,891

Location: Glasgow Atlantic Quay

Technical Architect - Voxsio

Voxsio is at an early stage in its development and this is an opportunity to be one of the first employees, with the ability to set the technical direction and the cultural environment. Voxsio’s Conversational Search product uses machine learning along with modern web 3.0/semantic web technologies to deliver personalised relevant information for people accessing critical services. This has to be delivered at scale, and for wide range of customer domains.

The Role

This is the senior technical position within Voxsio, with responsibility for the following.

  • Technical Architecture of the Conversational Search product.
  • Deployment and support of the Conversational Search onto a cloud platform (e.g. AWS or similar)
  • Developing the Conversational Search back-end, in particular the machine learning component.
  • Leading and project managing the end-to-end development of Conversational Search.
  • Developing and leading the Voxsio technical team

Download job description for further information.

Scholarship - MSc High Performance Computing with Data Science

One scholarship of £11,500 available to UK and EU nationals for MSc High Performance Computing with Data Science to cover the full UK/EU tuition fee of £11,500.

There will be further funds available on an expenses basis to cover the cost of expenses incurred by the successful applicant.

Eligibility: Applicants must have applied for the specified full-time Masters degree programme (High Performance Computing with Data Science) beginning in the 2018-2019 academic session.

Criteria: The scholarship will be awarded on the basis of interest in Data Science, enthusiasm for participating in an industry project with Registers of Scotland (as part of the MSc dissertation component) and academic merit.

Candidates must have, or expect to obtain the international equivalent of a UK first class or 2:1 Honours degree at undergraduate level.

Applying: Candidates must first apply for September 2018 entry to the full-time 1 year programme MSc in High Performance Computing with Data Science

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.

Previse: Various jobs in Data Analytics and Engineering

There are various job openings available at Previse.

As a growing team in a rapidly developing space, our culture is hugely important to us. We pride ourselves on our energy, passion and commitment, regardless of specialism. Our success is driven by collaboration – we solve problems together – and our openness helps each individual grow. In order to thrive at Previse, you need an inquiring, scientific mind and an enthusiasm for constructive debates. We’re looking for straightforward people with fresh insights and the tenacity required to deliver value.

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.

NCR: Data Scientists (2)

NCR is looking for a contract Data Engineer to work alongside a multi-disciplinary team involved in ATM maintenance which is at the heart of NCR’s global ATM business. This individual would be supporting existing analysts and engineers and provide data ETL, analysis and reporting using technologies such as SQL, Python and Bash. This is a hands-on technical role and the individual will be expected to be a self-starter from a technical and problem solving perspective. The role will be based on-site in the NCR Dundee premises and is expected to last 3 months initially with the possibility of extensions.

Key Activities:

  • Create and maintain data extracts from data warehouses using SQL
  • Create and maintain data preparation and statistical analysis using Python
  • Create and maintain Bash scripts for process automation
  • Resolve data lineage and quality issues as they arise
  • Create reports and insights into data in support of business analysts and engineers

For more information please download the full job description.

Location: Dundee

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