Osnovno

Data Scientist

london (city of london), south east england, United Kingdom Podjetje: JR UK Naročnik / delodajalec: Anson McCade
Objavljeno: 20.05.2026
Datum zaprtja: 04.07.2026
Referenčna delovna mesta: dd7f75c9240f6c9b28ef0f65388b9a34

Informacije o delovnih mestih

Lokacija
london (city of london), south east england, United Kingdom
Podjetje
JR UK
Naročnik / delodajalec
Anson McCade
Referenčna delovna mesta
dd7f75c9240f6c9b28ef0f65388b9a34
Vrsta seznama
Osnovno
Zahtevano delovno dovoljenje EU
Ne
Objavljeno
20.05.2026
Datum zaprtja
04.07.2026

Opis delovnega mesta

Data Scientist


This role sits within a specialist digital consultancy delivering data‑driven solutions across the UK public sector. You will work on high‑impact projects that improve public services, applying advanced analytical techniques while supporting and mentoring junior team members.


Key Requirements: • Security Clearance eligibility (SC) is essential • Hybrid working, typically 2–3 days per week on client site • Strong Python skills, including experience with data analysis, modelling and automation • Experience working within or alongside public‑sector organisations is highly desirable


What You’ll Do: • Deliver end‑to‑end data science solutions across discovery, alpha, beta and live phases • Build, test and deploy analytical models, statistical approaches and data pipelines • Work with large, complex datasets to generate insights that inform policy and service design • Collaborate with multidisciplinary teams including product managers, researchers and engineers • Present findings to technical and non‑technical stakeholders • Lead by example, providing guidance, coaching and mentoring to junior data scientists • Ensure all work aligns with GDS standards, data governance and ethical guidelines


What You’ll Bring: • Proven experience as a data scientist in complex or public‑sector environments • Strong proficiency in Python and common data science libraries (Pandas, NumPy, Sci‑Kit Learn, etc.) • Experience with data visualisation tools and techniques • Ability to communicate complex concepts clearly and effectively • Experience supporting or mentoring junior colleagues • Full SC‑eligibility (UK residency for 5+ years, no restrictions)


What’s On Offer: • Flexible hybrid working • Opportunities to work on meaningful, high‑impact public‑sector services • Supportive, multidisciplinary teams • Clear pathways for professional development and leadership growth

Spretnosti

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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