Avanti

2 job(s) at Avanti

Avanti
Mar 03, 2026
Full time
Data Science Manager - Property Tech - London UK High Growth B2B SaaS Hands On Data Science Manager I am working with a scaling UK PropTech business where Machine Learning and AI sit at the core of the product and commercial strategy. They are hiring a hands on Data Science Manager who can lead their Data team while remaining technically involved in modelling, production machine learning and shaping the overall AWS based data platform. This is not a pure management role. They are looking for a strong Data Scientist first, someone comfortable across the full lifecycle from ingestion and feature engineering through to modelling and deployment. Their data estate has evolved over time and is currently spread across multiple siloed systems with differing structures and standards. The platform is built on AWS, but architectural consistency is lacking. They need someone who understands what good looks like in a modern cloud native environment, can rationalise fragmented systems, and proactively define a clear data and AI roadmap. You will lead a Data team of 5-6 across Data Science and Data Engineering, raising standards while still contributing directly to predictive models and AI driven tools. This is a genuine opportunity to bring structure, clarity and technical direction to a business where data is fundamental to competitive advantage. Key areas of focus include: Designing and improving a scalable AWS data platform Creating architectural coherence across siloed systems Leading end to end machine learning from feature engineering through to production deployment Embedding robust MLOps and model performance monitoring Improving ingestion, transformation and production readiness of data Defining and owning a multi-year data and AI roadmap aligned to business growth They are looking for someone who: Has strong hands on Data Science capability Has deployed machine learning models into production, not just experimentation Is comfortable operating across data engineering and architecture discussions Has worked within messy, multi system, inconsistent data environments Brings architectural thinking, even if not formally titled Head of Architecture Has experience leading and developing a small, high impact team Is proactive, commercially aware and confident setting technical direction This is less about hiring a traditional enterprise Data Engineering leader and more about finding a technically credible, AI centric builder who can combine modelling depth, engineering awareness and leadership. Salary: £90,000 to £100,000 plus significant equity. Location: London - Hybrid working 2 to 3 days in the office when needed, with a flexible and pragmatic approach. This is an opportunity to shape a modern, AI driven data capability on AWS within a scaling SaaS business where data underpins product differentiation. You will have genuine ownership, leadership visibility and meaningful equity upside. If you are a technically strong Data Science leader who enjoys solving architectural complexity and building high performing teams, please APPLY NOW.
Avanti Manchester, Lancashire
Mar 03, 2026
Full time
Head of Data - Fully Remote (UK only) £80,000-£90,000 + Benefits International Media and Events Company A small but fast-growing international media and events business is bringing data fully in-house. The technical foundations are in place, but the commercial value isn't yet being fully realised. That's where you come in. You will be the sole data leader in the business, responsible for shaping the strategy, building the roadmap, driving insight, and hiring the first AI resource underneath you. This is a genuine end-to-end ownership role where you will be technically hands-on across data engineering, transformation and business intelligence. This role isn't for everyone and that's exactly why it's exciting. It requires someone who has worked in a small company / Scale-up environment and can operate comfortably at exec level, influence strategic decisions, and tell compelling commercial stories with data while still being hands-on enough to build, shape and sense-check the underlying architecture. If you've moved too far away from the tools, it won't suit. If you're purely technical but haven't operated at board level, it won't stretch you in the right way. But if you enjoy breadth, autonomy and accountability, this is a rare opportunity to own data properly. You'll move the business from reactive Data reporting to proactive foresight. You'll turn fragmented Data insight into a clear narrative. You'll define what "good" looks like for data governance, performance and AI adoption. And you'll do it with direct access to founders and the executive team. They need someone who can walk into a room of time-poor executives and say, "Here's what the data is telling us and here's what we should do about it." Clear. Commercial. Decisive. The Role Reporting to the CTO, you'll translate data into decisions for the executive team. You'll build a clear Single Customer View across media, digital and events, create structured executive reporting, and embed AI and automation to drive efficiency and growth. You'll also shape the longer-term roadmap and, in the short to medium term, hire and lead an AI Engineer to expand the capability. The current stack includes GCP, BigQuery, DBT, Looker and Python, with growing interest in AI agents and LLMs. You don't need to have built everything from scratch but you do need to understand how it all fits together. Why This Role? You'll be the first internal data leader as the business transitions from an outsourced model. There's real autonomy, real ownership and visible impact. This is an opportunity for someone who thrives in a smaller, ambitious organisation, where ambiguity exists, decisions move quickly, and your contribution is seen immediately. Salary: £80,000 - £90,000 + benefits Fully remote (UK only) with a flexible working environment. If you want to own data across a business, stay hands-on, influence at board level and build something meaningful from day one, this is a rare opportunity to do exactly that.