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Data Scientist/Data Engineer - Inside IR35 - SC Clearance - Leeds or London (Hybrid)

We Are Orbis Group Ltd · United Kingdom · Hybrid · Senior

  • United Kingdom · Hybrid
  • 12 months

Indexed (today) · refreshed constantly

Start
ASAP
Duration
12 months
Work mode
Hybrid
Contract
Freelance / B2B
Seniority
Senior
Reference
490186276-1

Job description

Rate: Competitive day rate (Inside IR35) Location: Leeds or London (Stratford), hybrid, 50% on site Duration: Start 16 November 2026 until 31 March 2027, with an option to extend by 3 months Clearance: SC clearance required (or eligible) We are looking for a Data Scientist/Data Engineer to join a consumer intelligence and analytics programme at a major UK fi

Project details

Competitive day rate (Inside IR35)

Leeds or London (Stratford), hybrid, 50% on site

Start 16 November 2026 until 31 March 2027, with an option to extend by 3 months

Clearance: SC clearance required (or eligible)

We are looking for a Data Scientist/Data Engineer to join a consumer intelligence and analytics programme at a major UK financial services business. You'll work in an agile delivery team building data products, predictive models and dashboards that help spot emerging consumer trends, risks and harms. This is a chance to apply advanced analytics to work that directly shapes regulatory priorities and consumer protection.

The role

Essential experience

Desirable

This is an Inside IR35 engagement, paid via PAYE or umbrella. Candidates must hold, or be eligible for, SC clearance.

  • Design and build data pipelines and data products
  • Develop machine learning and predictive analytics models, including NLP and text analytics
  • Build Tableau dashboards that turn complex data into clear, usable insight
  • Analyse large consumer and market datasets to find trends, risks and early warning signs
  • Work in an Agile/Scrum team with stakeholders from several disciplines
  • 3-5 years' experience in data science, statistical analysis and data modelling
  • Advanced Python for analysis, automation and model development
  • Strong SQL across large datasets
  • Building and maintaining data pipelines and data products
  • Machine learning and predictive modelling
  • Data visualisation and dashboards, particularly Tableau
  • Agile/Scrum delivery and strong stakeholder communication
  • NLP and text analytics
  • Consumer behaviour, consumer intelligence or market analytics
  • Regulated environment experience, ideally financial services or the public sector
  • Online listening, digital intelligence or alternative data sources
  • Cloud analytics and modern data engineering practices
  • Start: ASAP
  • Duration: 12 months
  • Location: United Kingdom, GB

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