• Analyze large and complex volumes of data using Python, R and Big Data platforms (Spark, Databricks), applying advanced Machine Learning, NLP and Generative AI techniques. • Develop interactive dashboards and reports to support strategic decision-making, using tools such as Power BI or similar. • Create, validate and deploy predictive models and advanced ML algorithms, including Deep Learning and Generative AI applications, to address challenges such as demand forecasting, anomaly detection, process automation, and customer experience personalization. • Integrate models into production environments using MLOps frameworks, ensuring scalability, reliability and efficiency. • Work closely with Engineering, Product, Conversational UX and Data teams, translating business needs into analytical, AI-driven solutions. • Apply Conversational AI techniques, semantic analysis and NLP to extract insights from unstructured and textual data. • Use data augmentation, including LLM-based approaches, to enrich training data and improve model performance.

Role Description We're looking for a Data Centre Manager to lay the foundation for our AI compute infrastructure across the US. You'll be our hands-on lead technical specialist on the ground, owning everything from the first site walkthrough to the moment a high-density GPU cluster goes live. You'll take empty spaces and colo data halls and turn them into operational AI compute sites end to end. Responsibilities - Own the technical execution and infrastructure setup across our US compute sites, covering power, cooling, mechanical and electrical systems, to the highest standard of performance and reliability. - Lead early-stage site evaluations, assessing prospective spaces and colo data halls for technical feasibility before we commit. - Drive the full deployment lifecycle from site assessment and hardware selection through to physical installation, commissioning, and handover to live operations. - Act as the primary technical presence on the floor, working directly alongside contractors and internal teams to bring each site online. - Execute technical fitouts end to end, including logistics, equipment rigging, rack installation, and high-density hardware deployment. - Install, validate, and maintain direct-to-chip liquid cooling loops and the surrounding critical infrastructure. - Set and enforce structural, mechanical, and electrical safety standards across every site you own. Qualifications - Proven experience delivering infrastructure projects from the ground up, including DC fitouts, critical facility builds, or commissioning within colo or hyperscale environments. Owned end-to-end. - Deep technical ownership of mission-critical power infrastructure, covering HV/LV distribution, UPS, backup generation, and switchgear. Designed, maintained, or commissioned these systems directly. - Cooling systems depth across CRAC/CRAH, chilled water loops, and CDUs. Liquid cooling hands-on experience (direct-to-chip, immersion, rear-door) is a strong differentiator. - Exposure to high-density compute: HPC hardware, GPU rack architectures, or high-density data suites. Strong understanding of what extreme power density demands from the surrounding infrastructure. - Highly autonomous and self-directed, with a track record of taking full ownership of physical infrastructure projects in fast-paced environments. - Open to candidates based anywhere in the US. Our sites are nationwide. Benefits - Competitive salary - Biannual bonus scheme - Fully expensed tech to match your needs - Paid annual leave - Breakfast and dinner allowance for office based employees

Role Description We're looking for a Data Centre Manager to lay the foundation for our AI compute infrastructure across the US. You'll be our hands-on lead technical specialist on the ground, owning everything from the first site walkthrough to the moment a high-density GPU cluster goes live. You'll take empty spaces and colo data halls and turn them into operational AI compute sites end to end. Responsibilities - Own the technical execution and infrastructure setup across our US compute sites, covering power, cooling, mechanical and electrical systems, to the highest standard of performance and reliability. - Lead early-stage site evaluations, assessing prospective spaces and colo data halls for technical feasibility before we commit. - Drive the full deployment lifecycle from site assessment and hardware selection through to physical installation, commissioning, and handover to live operations. - Act as the primary technical presence on the floor, working directly alongside contractors and internal teams to bring each site online. - Execute technical fitouts end to end, including logistics, equipment rigging, rack installation, and high-density hardware deployment. - Install, validate, and maintain direct-to-chip liquid cooling loops and the surrounding critical infrastructure. - Set and enforce structural, mechanical, and electrical safety standards across every site you own. Qualifications - Proven experience delivering infrastructure projects from the ground up, including DC fitouts, critical facility builds, or commissioning within colo or hyperscale environments. Owned end-to-end. - Deep technical ownership of mission-critical power infrastructure, covering HV/LV distribution, UPS, backup generation, and switchgear. Designed, maintained, or commissioned these systems directly. - Cooling systems depth across CRAC/CRAH, chilled water loops, and CDUs. Liquid cooling hands-on experience (direct-to-chip, immersion, rear-door) is a strong differentiator. - Exposure to high-density compute: HPC hardware, GPU rack architectures, or high-density data suites. Strong understanding of what extreme power density demands from the surrounding infrastructure. - Highly autonomous and self-directed, with a track record of taking full ownership of physical infrastructure projects in fast-paced environments. - Open to candidates based anywhere in the US. Our sites are nationwide. Benefits - Competitive salary - Biannual bonus scheme - Fully expensed tech to match your needs - Paid annual leave - Breakfast and dinner allowance for office based employees

• Define the right problems before any analysis, understanding business questions and the decisions they inform. • Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. • Bring recommendations to counterparts in product, growth, finance or operations, explaining what's happening, why, and what next steps should be.