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

Analytics Engineer

Job Description

**Job Title** Senior Analytics Consultant **Role Summary** Senior analytics professional driving data-led decision-making by designing modern analytics solutions (dbt, BigQuery, Looker) across industries. Focus on client-facing consulting, pipeline development, and strategy alignment. **Expectations** 4+ years in analytics/data consultancy; proficiency in SQL/cloud data modeling; hands-on cloud warehouse (BigQuery, Snowflake, Redshift) and BI tool (Looker, Power BI) experience. Strong stakeholder communication skills required. **Key Responsibilities** - Design and implement ELT pipelines using dbt, Fivetran, or similar tools. - Develop dashboards and reporting solutions with Looker or BI platforms. - Contribute to client workshops, strategy sessions, and training. - Collaborate with teams to deliver scalable analytics stacks for diverse clients. - Provide technical guidance on modern data stack integration. **Required Skills** - Advanced SQL/data modeling (dbt preferred). - Experience with cloud data warehouses (BigQuery, Snowflake). - BI tool expertise (Looker, Tableau, Power BI). - ELT pipeline design (Fivetran, Airbyte). - Client-facing communication: translate technical insights to non-technical stakeholders. **Required Education & Certifications** Not specified.

England, United kingdom

Remote

Junior

09-09-2025

Company Name

Data Idols

Job Title

Staff Data Scientist

Job Description

Job title: Staff Data Scientist Role Summary: Technical leader responsible for designing, developing, and deploying advanced machine learning models. Leads end‑to‑end data science initiatives, mentors junior team members, and collaborates cross‑functionally to deliver high‑performance solutions. Expectations: Deliver production‑ready models, drive strategic data initiatives, provide mentorship, and maintain technical excellence across the data science team. Key Responsibilities: • Lead end‑to‑end data science projects from requirement gathering to deployment. • Design, implement, and evaluate machine learning models for business impact. • Build scalable data pipelines and model deployment workflows on GCP. • Mentor and coach junior data scientists and analysts. • Ensure best practices in data engineering, model monitoring, and reproducibility. • Collaborate with product, engineering, and business stakeholders to translate insights into actionable outcomes. Required Skills: • Strong programming in Python (pandas, scikit‑learn, TensorFlow/PyTorch). • Advanced SQL skills for data extraction and manipulation. • Proven experience with Google Cloud Platform services (Compute Engine, Vertex AI, BigQuery, Pub/Sub). • Knowledge of model deployment, monitoring, and maintenance. • Ability to lead projects, manage timelines, and communicate findings effectively. Required Education & Certifications: • Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or related field (Master’s or PhD preferred). • Relevant certifications (e.g., Google Cloud Professional Data Engineer, TensorFlow Developer, or equivalent) are an advantage.

London, United kingdom

On site

29-10-2025

Company Name

Data Idols

Job Title

Head of Data Science

Job Description

Job Title: Head of Data Science Role Summary: Lead and expand a data science practice in a fast‑growing, product‑centric organization. Manage a team of 6+ scientists embedded across product, marketing, and operations. Define the technical strategy, drive the transition to machine learning engineering, and ensure end‑to‑end model ownership from research to production. Align initiatives with company OKRs and deliver measurable impact in search, pricing, personalization, vouchers, marketing, operations, and finance. Expectations: - Build a scalable, engineering‑oriented data science practice. - Establish governance, processes, and best practices for ML model development and deployment. - Mentor senior scientists and support their career growth. - Collaborate closely with senior stakeholders across multiple domains to prioritize projects and deliver business value. Key Responsibilities: - Recruit, coach, and retain an embedded data science team. - Develop and enforce standards for model research, experimentation, validation, and production deployment. - Own the full ML lifecycle, including feature engineering, training, testing, monitoring, and continuous improvement. - Design and maintain data pipelines and infrastructure (Databricks, Spark, GCP/BigQuery). - Translate business objectives into data science projects and measurable KPIs. - Partner with product, engineering, marketing, and finance to operationalize insights. - Facilitate knowledge sharing and promote a data‑driven culture. Required Skills: - Proven leadership in data science or ML in product‑led or consumer‑facing environments. - Hands‑on experience building and deploying ML models at scale. - Strong technical fluency with Python, Spark, Databricks, and GCP/BigQuery. - Engineering mindset; experience guiding teams toward ML engineering best practices. - Excellent communication and stakeholder management. - Ability to mentor senior talent and influence cross‑functional decision‑making. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, or related field. - Additional certifications in ML/AI or cloud platforms (e.g., GCP Professional Data Engineer) are a plus.

Manchester, United kingdom

On site

29-10-2025

Company Name

Data Idols

Job Title

AI Engineer

Job Description

**Job Title:** Senior AI Engineer **Role Summary:** Lead end‑to‑end AI solution design and delivery across multiple industries, driving technical strategy in pre‑sales, client engagements, and internal product development while mentoring engineering talent. **Expectations:** - Build scalable, production‑ready AI/ML systems that deliver business value. - Communicate technical concepts clearly to non‑technical stakeholders. - Mentor and coach junior engineers and support diverse talent pipelines. - Operate with an entrepreneurial mindset in a fast‑growing environment. **Key Responsibilities:** - Serve as technical lead during pre‑sales and client workshops. - Design, prototype, and deploy AI solutions using LLM, Generative AI, and standard machine learning techniques. - Consult internally to apply AI for process improvement and operational scaling. - Collaborate with leadership, sales, delivery, and academy teams to co‑create innovative solutions. **Required Skills:** - Proficient in Python and modern AI frameworks. - Hands‑on experience with LLM, GenAI, and end‑to‑end AI/ML pipelines. - Proven track record delivering AI/ML solutions in industry. - Strong communication skills for client‑facing presentations. - Mentoring/teaching experience and interest in people development. - Entrepreneurial, flexible attitude suitable for high‑growth teams. **Required Education & Certifications:** - Bachelor’s (or higher) degree in Computer Science, Data Science, Machine Learning, or related field. - Professional certifications in AI/ML (e.g., TensorFlow, AWS AI/ML, Azure AI) are a plus.

London, United kingdom

On site

29-10-2025