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Salary
$161k per year
Location
In office (London)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Sep 29, 2026. First seen by Alion on Aug 10, 2026. Salt scores C on the Alion truth index.

Overview
Company
Impact
Profile match
Founded in 2009, Salt is a global digital talent, recruitment, and workforce consultancy specializing in technology, creative, marketing, and sales staffing. Headquartered in London, United Kingdom - with an international network of offices spanning North America, Europe, Asia-Pacific, and Latin America - the agency serves fast-scaling startups, mid-market companies, and multinational enterprises. Through its permanent and contract recruitment models, recruitment process outsourcing (RPO), nearshore/offshore talent delivery (Salt: Labs), and strategic HR advisory services, it enables organizations to build, scale, and manage high-performing teams across AI, technology, and digital transformation initiatives.

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Applications are now closed.

Data Scientist - Inside IR35

Ref: JO-2608-362673

  • Environment:

    Hybrid

  • Contract Type:

    Contract

  • Starts:

    2026-08-24

Senior Data Scientist - Contract

Rate: £485 per day

IR35: Inside IR35

Duration: 6 Months

Location: London

We are looking for an experienced, hands-on Senior Data Scientist to join a high-profile technology organisation on an initial 6-month contract.

This is a high-autonomy role focused on running existing business-as-usual analytics and data science across international markets, with responsibility for revenue visibility, regulatory reporting, data quality and maintaining a suite of production ML models.

The successful candidate will be comfortable taking ownership of existing processes and systems, working independently and delivering against tight deadlines with minimal hands-on support.

Key Responsibilities

Analytics

  • Monitor revenue performance across international markets and investigate anomalies, providing early visibility of revenue movements.
  • Support partner monitoring and escalations, including offer setup, recommender administration, click-report issues and partner ranking changes.
  • Monitor email campaign performance, investigating anomalies, send failures, re-targeting opportunities and churn drivers.
  • Support experimentation and A/B testing, including experiment monitoring, analysis and promotion decisions.
  • Maintain data quality by investigating pipeline failures, tracking gaps and partner feed issues.
  • Support data requests, customer/member queries and regulatory reporting, including DSAR/RTBF requests, complaint data and FCA regulatory returns.
  • Monitor marketplace rankings and provide analytics support against tight, sometimes same-day deadlines.
  • Represent analytics in business reviews and stakeholder meetings, translating technical findings into clear business recommendations.

Data Science

  • Maintain and support an existing suite of production ML models, including scheduled refreshes, retraining and redeployment.
  • Monitor model performance and drift, identifying and escalating issues where models require attention.
  • Maintain data quality across model inputs and pipelines, troubleshooting feed and pipeline issues.
  • Support partner ranking changes and credit-model compliance requirements.
  • Ensure models, pipelines and reporting are fully documented and handed over to the permanent team at the end of the engagement.

Essential Skills & Experience

  • 5+ years’ experience across Data Science and Analytics, including experience running production models and BAU analytics.
  • Strong experience taking ownership of existing BAU processes and delivering with minimal supervision.
  • Strong SQL and Python or R skills.
  • Comfortable working with existing codebases, data pipelines and production environments.
  • Hands-on experience maintaining production ML models, including refreshing, retraining, monitoring and troubleshooting models.
  • Strong understanding of model performance monitoring, model drift and data quality.
  • Excellent written and verbal communication skills.
  • Degree or advanced qualification in a quantitative discipline such as Computer Science, Mathematics, Statistics, Physics or a similar subject, or equivalent professional experience.
  • Background within technology, financial services or a data-driven organisation.

Desirable Experience

  • Experience using AI tools such as Claude Code, OpenAI or similar to automate day-to-day workflows.
  • Understanding of agentic AI workflows.
  • Previous contract or consulting experience delivering BAU projects against fixed deadlines.
  • Experience working cross-functionally with Product, Marketing, Business Development, Compliance, Engineering and Customer/Member Support teams.
  • Experience working within regulated environments and supporting regulatory reporting.

The Opportunity

This is an excellent opportunity for a Senior Data Scientist who enjoys hands-on ownership rather than purely project-based data science. You will take responsibility for keeping critical analytics, reporting and production models running across an international business while working closely with senior stakeholders.

6-month contract | £485 per day | Inside IR35

*Rates depend on experience and client requirements

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