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United States | United Kingdom
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🟢 Actively Hiring · Posted Today ⏳ Closes in 60 days UK Corridor 🛡️ UK Work Eligibility 🏢 FULL_TIME

Senior GenAI Data Scientist (m/f/d)

Salary Range
£38,718 - £50,659
£3,227 - £4,222 / mo

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OP-VERIF-4A0AAA6C ✓ Passed Inspection

This vacancy has been independently reviewed by the OppaJob Transatlantic Career Intelligence Desk to confirm authentic direct employer recruiting, verify compensation transparency, and eliminate applicant processing fees.

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Corporate Registration Verified UK Companies House registration standing active
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Prevailing Wage Benchmark UK National Minimum Wage & Equality Act 2010 aligned
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Zero-Intermediary Direct Pipeline Direct candidate ATS submission. 100% free with zero recruitment charges.
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Corridor Right-to-Work Match UK Work Eligibility

Transatlantic Cost of Living & Purchasing Power Benchmark

Verified Analytics
Location Base
Leeds, England
Tier-1 UK Economic Zone
Est. Take-Home Pay
68% - 74% (After PAYE & NI)
Single tax filer baseline
Transatlantic Parity
1.0 GBP ≈ $1.28 USD Living Standard
Direct corporate benchmark
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Position Overview & Specifications

A career driven by you. Join AutoScout24 Group and experience life in the fast lane. We’re not just leading the market; we’re creating it. We’re constantly innovating, evolving, and transforming things for our customers. We’re driven, ambitious, and determined to do our best work together. For a career that doesn’t stand still, where you can put your ideas in the driving seat and change the way the world moves, join our international community. 

As Senior GenAI Data Scientist, you’ll join our Data Science organisation and drive the development of next-generation AI solutions across the company. You will take ownership of building agentic GenAI systems, integrating knowledge into models, and setting up strong evaluation and monitoring frameworks that ensure we deliver reliable, scalable, and high-value AI products. This position is permanent and located in Munich (Germany) or Toronto (Canada).

What you’ll do:

  • Design and build agentic GenAI systems using modern frameworks such as LangChain, AutoGen or Atomic Agents, taking the lead on translating product needs into scalable AI solutions and delivering production-ready implementations.
  • Drive harness engineering practices across Data Science projects, creating agent-ready repositories, workflows, standards, and feedback loops that enable software engineering agents to generate, test, maintain, and review code reliably across AI, ML, and data products.
  • Develop and maintain knowledge integration pipelines, including RAG architectures, custom model fine-tuning, vector search, and other grounding methods to ensure our AI systems have the right context for accurate, relevant outputs.
  • Define evaluation strategies, build ground-truth datasets, and create automated test and monitoring setups to ensure stable long-term model performance and proactively detect issues such as drift or hallucination.
  • Collaborate with engineering, data, and product teams to integrate AI components into platforms, workflows, and customer-facing products, designing clean APIs, robust pipelines, and scalable deployment patterns.
  • Act as a hands-on expert for GenAI and agentic software engineering topics, mentoring peers, guiding solution architecture, and driving best practices in coding, testing, repository design, documentation, observability, and harness engineering across the team and beyond.
  • Experiment with new tools, models, and architectures, identify high-impact AI opportunities, and build prototypes that can scale into production-ready solutions. 

What you’ll bring: 

  • A degree in computer science, data science, engineering, or a related field.
  • Experience designing maintainable, agent-ready engineering environments, including repository structures, coding standards, automated test suites, CI/CD workflows, documentation patterns, and feedback mechanisms that allow software engineering agents to safely generate, modify, review, and maintain code.
  • Experience with knowledge graphs, graph-based retrieval, semantic modelling, or ontology-driven knowledge representation is a plus.
  • Strong coding skills in Python and experience with robust software engineering practices.
  • Practical experience with RAG pipelines, vector databases, embeddings, or fine-tuning workflows.
  • Strong understanding of common challenges in AI development (ground-truth evaluation data, monitoring, integration complexity, model drift).
  • Experience deploying AI systems in a cloud environment and working with modern ML stacks.
  • Familiarity with MLOps, prompt engineering, or LLM-based application design.
  • Ability to explain complex AI topics in clear and actionable language to technical and non-technical stakeholders.
  • High motivation, ownership mentality, and a strong drive to build impactful AI products.
  • Fluency in English; German is a plus.

A culture of growth. With over 50 nationalities represented, we’re proud to welcome people of all backgrounds to our growing community, and we’re always finding new ways to help people feel welcomed and included. Here, you’ll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential. 

For a career where you can drive our business and shape your future, apply now. 

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Candidate Selection & Onboarding Process

1

Application & Resume Screening

Submit your tailored CV/Resume directly to the talent acquisition portal.

2

Technical & Competency Interviews

Virtual interviews with the hiring manager and multidisciplinary team.

3

Formal Offer & Benefits Negotiation

Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.

4

Onboarding & Corporate Integration

Equipment provisioning, team orientation, and commencement of duties.

United Kingdom Right to Work & Skilled Worker Visa Guide

Corridor Intelligence

Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:

🇬🇧 Skilled Worker Visa (Tier 2)

Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.

🏛️ Settlement (ILR) Pathway

Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.

⚖️ Official regulatory reference: UK Visas and Immigration (UKVI) & Home Office Sponsor Register.

Candidate Preparation Blueprint: Data & Analytics

Recruitment Insights

Based on transatlantic hiring benchmarks for Senior GenAI Data Scientist (m/f/d) roles across autoscout24's corporate sector, successful applicants typically excel across three core dimensions:

1. Domain Competency

Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Data & Analytics.

2. Behavioral & Leadership

STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.

3. Compensation Alignment

Total compensation expectation aligned within the benchmarked £38,718 - £50,659 bracket, including retirement vesting and health parity.

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Hiring Organization
autoscout24

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