Trilateral Research

Trilateral Research is a UK and IE-based enterprise, founded in 2004. Our team collaborates across social sciences and technology development to bring insights from each into supporting data driven innovation. We provide research, advisory and technology development services to private and public-sector organisations (including European Commission-funded H2020 innovation projects). For more information on our projects, see

We are seeking to hire a Data Scientist to help support the development of machine learning solutions for our clients in the private and public sector. The Data Scientist role requires the successful candidate to:

  • Have a sound understanding of data science, including a thorough understanding of the methods and various approaches to problem solving (predictive analytics, machine learning, prescriptive analytics).
  • Have a broad experience with a wide array of frameworks and systems, databases and programming languages, with excellent knowledge of Python in particular, and a good understanding of cloud platforms such as Amazon Web Services.
  • Apply data science to a variety of topics in the social-tech domain, including among others, child exploitation, modern slavery, fake news, citizen participation, and renewable energy.

The post-holder will be expected to liaise with project partners and clients in the private and public sector, both in the UK and internationally, and to deliver products, research, technical proposals and reports in a collaborative and supportive research-intensive environment in which short and demanding deadlines are frequent.


Specific job responsibilities include:

  • Data management: collection, curation, cleaning, analysis, presentation/visualisation.
  • Gathering user requirements and building predictive analytics models.
  • Designing/deploying cloud-based machine learning solutions for public and private clients.
  • Writing technical reports, documentation, deliverables and content for proposals.
  • Working in an interdisciplinary social-tech environment and respecting social, data ethics, data privacy and algorithmic transparency issues.
  • Writing content for peer-reviewed journal articles, blogs and online media.
  • Attending and/or presenting at national/international conferences and workshops.


Qualifications and skills:

  • PhD in Computer Science (or a related field, e.g. Physics) or equivalent years of experience.
  • Deep understanding of the theoretical grounds of machine learning.
  • Strong command of Python (sklearn, pandas, numpy, matplotlib, NLTK, Keras etc.)
  • Knowledge of cloud platforms for the deployment of machine learning solutions.
  • Ability to work under pressure and meet deadlines whilst maintaining quality.
  • Experience of working with end-users and good client engagement skills.


Good to have:

  • Knowledge of JavaScript and web applications.


Location: London 

Hours: Full-Time/Part-time

Salary: Commensurate with experience

Contract Type: Fixed Term or Permanent


In return, you get …

  • A competitive salary
  • Flexible working hours / remote working options
  • Competitive pension scheme

We are an Equal Opportunities employer and positively encourage applications from suitably qualified and eligible candidates, regardless of their age, sex, race, disability, sexual orientation, gender reassignment, religion or belief, marital/civil partnership status, or pregnancy and maternity. We are a Disability Confident committed and Living Wage employer.


To apply, please send your cover letter and CV to All applications should be marked specifically as “Data Scientist”. We will process on a rolling basis and earlier candidates will be considered first.


‘Risk Assessment Report and Methodology’

You can view the Executive Summary and Table of contents of the Project Solebay Risk Assessment Methodology Report.

Please sign up to the Solebay mailing list to download the Full Solebay project report.