Data Idols

About the Company

Data Idols work with the UK's leading data focused tech companies, we help organisations apply Data Engineering and Data Science techniques to improve the delivery of data projects, through consulting, recruitment, training and events.

We believe strongly that the data world is changed, you now need to have an awareness of multiple different technologies and platforms. One platform doesn't fit all and increasingly companies we work with are implementing different technologies dependent on very specific project requirements.

Listed Jobs

Company Name

Data Idols

Job Title

Lead Data Scientist

Job Description

**Job Title:** Lead Data Scientist **Role Summary:** Lead the design, development, and scaling of the end‑to‑end data ecosystem, transforming raw data into reliable, real‑time insights and predictive models. Partner with senior leadership, product, engineering, and go‑to‑market teams to embed data‑driven decision‑making across the organization. **Expectations:** - Own the full data stack—from ingestion and transformation to analytics and machine‑learning production. - Deliver high‑impact solutions in a fast‑growth, ambiguous environment with tight timelines. - Communicate technical concepts clearly to both technical and non‑technical stakeholders. - Leverage AI coding tools and stay current with emerging data‑science technologies. **Key Responsibilities:** 1. Architect and build a scalable data platform (pipelines, warehouses, and analytics layers). 2. Develop and maintain production‑grade data pipelines using Python and dbt. 3. Write advanced SQL queries for data extraction, validation, and reporting. 4. Design, train, and deploy machine‑learning models that support product strategy and operational decisions. 5. Ensure data quality, reliability, and real‑time availability. 6. Collaborate with cross‑functional teams to define metrics, dashboards, and data‑driven initiatives. 7. Mentor junior data scientists and foster a data‑centric culture. 8. Continuously evaluate and integrate new AI/LLM tools to improve workflow efficiency. **Required Skills:** - Strong Python programming for data pipelines and analysis. - Advanced SQL proficiency; hands‑on experience with dbt. - Proven track record building data platforms from scratch in fast‑growth settings. - Experience with applied machine learning and model deployment. - Comfortable handling ambiguity, shifting priorities, and tight deadlines. - Proficient use of AI coding assistants (e.g., LLMs) in daily work. - Excellent written and verbal communication skills. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field (Master’s preferred). - Relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, Snowflake, dbt) are a plus but not mandatory.

London, United kingdom

On site

Senior

17-03-2026

Company Name

Data Idols

Job Title

AI Engineer

Job Description

**Job Title:** AI Engineer **Role Summary** Design, deploy, and maintain production‑grade AI systems that transform large language models into reliable, observable, and continuously improving services. Responsible for building agent‑based architectures, retrieval‑augmented generation (RAG) pipelines, and evaluation frameworks, while ensuring system safety, scalability, and operational stability. Works closely with product, engineering, and commercial stakeholders to translate complex workflows into autonomous AI solutions. **Expectations** - Turn experimental AI capabilities into trusted production tools. - Ensure AI systems behave predictably in real‑world conditions. - Develop and refine monitoring, feedback loops, and safeguards. - Collaborate cross‑functionally to align AI solutions with business needs. **Key Responsibilities** - Architect and implement agent‑based AI systems and RAG pipelines. - Deploy large language models in a scalable, secure environment. - Create evaluation frameworks that measure performance, safety, and reliability. - Design monitoring dashboards and alerting mechanisms for production health. - Integrate safeguards and rollback procedures to mitigate failures. - Iterate on system design based on user feedback and operational metrics. - Document architecture, processes, and best practices for internal teams. - Mentor junior engineers and elevate production practices across teams. **Required Skills** - Strong experience deploying AI‑powered systems to production. - Proficiency in Python, including modern libraries for ML and data pipelines. - Hands‑on expertise in Retrieval‑Augmented Generation (RAG) architectures. - Familiarity with large language models (LLMs) and agent design patterns. - Solid problem‑solving instincts and clear communication. - Knowledge of observability, logging, and monitoring tools (e.g., Prometheus, Grafana). - Understanding of safety‑centric design and responsible AI practices. **Required Education & Certifications** - Bachelor’s degree (or equivalent experience) in Computer Science, Engineering, or related technical field. - Certifications in cloud platforms (AWS, GCP, Azure) or ML Ops tools are a plus.

London, United kingdom

On site

17-03-2026

Company Name

Data Idols

Job Title

Head of Data Science

Job Description

Job Title: Head of Data Science Role Summary: Strategic leader responsible for defining and executing an organization‑wide data science and machine learning (ML) strategy. Builds and scales a high‑performing data science function, sets standards, prioritization frameworks, and performance metrics. Aligns ML investment with commercial priorities to drive measurable impact on revenue, margin, customer experience, and operational performance. Expectations: - Deliver measurable business outcomes through ML initiatives. - Position ML as a long‑term strategic differentiator. - Scale data science capabilities in a commercially sophisticated environment. Key Responsibilities: - Develop and communicate a company‑wide data science & ML strategy. - Build, lead, and mentor a high‑performing data science team. - Establish standards, prioritization frameworks, and KPI dashboards for ML projects. - Align ML investment with commercial priorities and ROI expectations. - Influence senior stakeholders across business functions. - Drive continuous improvement in model development, deployment, and monitoring processes. - Foster a culture of data‑driven decision making and ethical AI practices. Required Skills: - Proven experience leading data science teams at scale. - Strong track record of ML initiatives that directly influence commercial performance. - Deep technical foundation as a former hands‑on data scientist. - Excellent stakeholder management and senior‑level influence. - Strategic thinking with ability to translate business objectives into ML roadmaps. - Strong communication and presentation skills. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field. - Certifications in data science, machine learning, or AI leadership (e.g., Certified Data Scientist, AWS ML Specialty) are a plus.

London, United kingdom

Hybrid

17-03-2026