Data Idols

Senior Backend AI Engineer Salary: 95,000 - 105,000 London (Hybrid) At Data Idols, we are working with a forward-thinking technology business that is building advanced AI-driven platforms to automate complex workflows and deliver intelligent insights at scale. This is a high-growth environment where engineering plays a critical role in shaping product capability. The business is now looking for a Senior Backend AI Engineer to take ownership of its AI and platform architecture as it continues to scale. The Opportunity This is a senior, high-impact role where you will own the design and delivery of both AI orchestration systems and the underlying platform infrastructure. You will be responsible for building the layer that connects AI models, workflows, and decision-making processes, while also ensuring the platform is secure, scalable, and compliant for enterprise use. Working closely with product, data, and engineering teams, you will play a key role in bringing AI-driven features into production and ensuring they operate reliably and efficiently. This role suits someone who enjoys building from scratch, taking ownership, and working across both AI systems and platform engineering in a fast-moving environment. Skills and experience Strong experience with Python Experience building production systems using LLMs or generative AI Knowledge of prompt engineering, RAG, or agent-based architectures Experience working with APIs, distributed systems, or event-driven architectures Understanding of authentication and security protocols Experience building secure, scalable platforms Knowledge of observability, monitoring, and system reliability Proven experience owning systems end-to-end If you are looking for a new challenge and want to work on cutting-edge AI systems, please submit your CV for initial screening and further details. Senior Backend AI Engineer

Analytics Engineer Salary: 95,000 - 105,000 Location: London At Data Idols, we are working with a forward-thinking technology business building advanced data and AI platforms that combine traditional analytics with next-generation AI-driven intelligence. This is a high-growth environment where data is central to product innovation. The business is now looking for a Lead Analytics Engineer to take ownership of its data architecture and analytics capabilities as it continues to scale. The Opportunity This is a senior, high-impact role where you will design and deliver a unified analytics layer that supports both traditional reporting and AI-powered insight generation. You will be responsible for building scalable data models, enabling advanced analytics, and integrating AI capabilities such as semantic search and natural language querying. Working closely with product, data, and engineering teams, you will play a key role in shaping how data is structured, transformed, and consumed across the platform. This role suits someone who enjoys working at the intersection of analytics engineering, data architecture, and AI, and is comfortable building production-ready data systems in a fast-moving environment. Skills and experience Experience designing and building ETL pipelines Strong understanding of data modelling, schema design, and data structures Strong SQL skills and experience Experience with data pipeline orchestration tools Exposure to LLMs or AI-driven analytics workflows Proven experience building scalable data models and systems end-to-end If you are looking for a new challenge and want to work on cutting-edge data and AI platforms, please submit your CV for initial screening and further details. Analytics Engineer

Data Solutions Architect Salary: 90K - 100K London (Hybrid) At Data Idols, we are working with a large-scale, data-driven organisation investing heavily in its data platform, analytics and AI capabilities. They are now looking for a Data Solutions Architect to provide design and architecture guidance across a broad portfolio of data initiatives. The Opportunity This is a senior architecture role focused on shaping how data solutions are designed and delivered across a complex enterprise data estate. You will work closely with product owners, engineering leads, data teams and senior stakeholders to understand business requirements and translate them into clear, robust high-level designs for engineering teams to build. The role is not focused on hands-on delivery. Instead, you will be responsible for articulating solution designs, documenting key decisions, defining reusable patterns and ensuring consistency across a shared data platform. You will support a modern cloud data platform, with exposure to areas such as analytics, reporting, data science, AI use cases and increasingly real-time data capabilities. Skills and experience Strong experience designing secure, scalable data solutions in complex environments Experience working with Azure-based data platforms Experience with Databricks or similar modern data platforms Good understanding of data warehouse, data lake or lakehouse architectures If you are looking for a new challenge and want to help shape data solutions across a large-scale cloud data platform, please submit your CV for initial screening and further details. Data Solutions Architect

Data Science Manager Salary: 100K - 120K + bonus + benefits Location: London (Hybrid) At Data Idols, we are working with a major UK retail and consumer brand undergoing a significant data and AI transformation, placing advanced analytics and machine learning at the centre of commercial decision-making across the business. They are looking for a Data Science Manager to lead a high-performing team of Data Scientists focused on delivering measurable impact. This is a highly visible leadership role sitting at the intersection of data science, commercial strategy, and customer experience. The Opportunity As the Data Science Manager, you'll lead both the technical direction and people development of the team, helping shape the roadmap for how machine learning and advanced analytics are applied across the organisation. You will be responsible for translating complex analytical outputs into clear, commercially focused recommendations, helping establish best practices across experimentation, modelling, MLOps, and data science delivery, and supporting the long-term evolution of the organisation's AI and data science capability. This is a leadership role with real influence, balancing strategic direction with hands-on technical oversight where needed. Skills and Experience Previous experience leading or managing Data Science teams in a commercial environment Strong background in machine learning, advanced analytics, or statistical modelling Strong stakeholder management skills with the ability to influence senior leadership Experience delivering data science products and models into production environments If you are looking for a new challenge and want to work in a data-driven environment where your insight directly influences marketing and commercial performance, please submit your CV for initial screening and further details. Data Science Manager

Lead Data Scientist - Financial Crime (Consulting Environment) Salary: 90,000 - 120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data-focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory-led role What's in it for you? Competitive salary ( 85,000 - 110,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud-related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies If you would like to be considered for the Lead Data Scientist Role, please apply below with your CV.

Principal Data Analyst 95K - 105K London hybrid At Data Idols, we are working with a fast-growing, technology-led digital business operating at significant scale across multiple international markets. They are now looking for a Principal Data Analyst to lead a small analytics team and drive commercially impactful insight across a critical business domain. The Opportunity This is a high-ownership leadership role sitting at the intersection of analytics, commercial strategy and operational performance. You will act as the key analytics partner for a core business function, helping stakeholders understand performance, identify optimisation opportunities and make better strategic decisions through data. Leading a small team of analysts, you will shape how analytics is delivered across the organisation, setting standards for reporting and visualisation, building measurement frameworks, and ensuring insight translates into meaningful commercial impact. You will work closely with commercial, product and engineering teams, influencing both day-to-day decision-making and longer-term strategic direction. Skills and experience Advanced SQL skills Experience with analytics engineering tooling such as dbt Experience using visualisation tools Experience leading or mentoring analysts Ability to influence strategic decision-making through data and insight If you are looking for a new challenge and want to play a key role in shaping commercial and operational decision-making through analytics, please submit your CV for initial screening and further details. Principal Data Analyst