Pamata

Data Scientist

cheltenham, south west england Uzņēmums: JR UK Klients / Darba devējs: Searchability NS&D
Publicēts: 18.05.2026
Beigu datums: 02.07.2026
Darba atsauce: eb057a587e6a55c3165a0746b5008f96

Informācija par darbu

Atrašanās vieta
cheltenham, south west england
Uzņēmums
JR UK
Klients / Darba devējs
Searchability NS&D
Darba atsauce
eb057a587e6a55c3165a0746b5008f96
Sludinājuma veids
Pamata
Nepieciešama ES darba atļauja
Publicēts
18.05.2026
Beigu datums
02.07.2026

Darba apraksts

New Permanent Opportunity for an Enhanced DV Cleared Data Scientist / AI Engineer in Cheltenham.


  • Must have active enhanced DV (West) Clearance
  • Junior to Lead levels available
  • £45k to £95k DoE plus 15% clearance bonus
  • Must be willing to be full-time on-site in Cheltenham
  • Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy


Who are we?

We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You’ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture.


What will the Data Scientist be doing?

Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment.


Key Skills and Requirements

  • Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis.
  • Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes.
  • Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors.
  • Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform.
  • Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools.


To be Considered:

Please either apply by clicking online or emailing me directly at . For further information please call me on 0161 416 6800 or 07719065951 - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you.


KEY SKILLS:

Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning

Prasmes

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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