Lead and scale our high-impact Data Science team, working at the intersection of product, engineering, and business strategy to build intelligent systems that power our marketplace. As a leader, you’ll be responsible for advancing our data science maturity, driving innovation in core ML capabilities, and enabling trustworthy, scalable solutions that shape how millions of users transact safely and efficiently. Partner with product, engineering, and design leaders to influence the roadmap with data-driven insights and ML strategy.
Join Contact Energy’s Data & AI team as a Data Scientist, where your work will directly support trading decisions that influence revenue, risk, and reputation. This is a fixed-term contract through to Friday 23 January 2026, covering parental leave. You’ll be working closely with the Trading team to develop and maintain trading algorithms that help drive smart, informed decisions and be hands-on with mission-critical tools and workstreams.
The Lead Data Partner (with their team) is the proactive force turning data into decisive action: anticipating insight needs, surfacing growth opportunities, influencing and enabling our teams to think sharper, move faster, and deliver greater impact. At Voyage Privé, data is at the heart of the digital transformation we are embarking on in 2025. With hundreds of thousands of daily active users and a few thousand new products available each week, data plays a pivotal role in shaping our future.
The Business Analyst will perform advanced business analysis work related to analyzing and implementing complex, emerging technology hardware and software projects for the Mainframe Transformation Program, including work in analysis of deployed functionality for Production Support and process improvement activities. The focus is data-related, including data modeling, data bridging, root cause analysis of data errors, and data flow documentation.
As a Microsoft Fabric Architect, you will be the principal authority for designing and leading the implementation of enterprise-scale data solutions for our US-based clients. You will be responsible for creating the strategic vision and technical blueprint for modern data platforms using Microsoft Fabric.
We are growing our consulting team and looking for Senior AI (Artificial Intelligence) Consultants to join us on our exciting journey and be part of the Hitachi Solutions family. You will be accountable for providing hands-on technical knowledge, while managing client relationships within the project context. Accountable for analysing customer needs, identifying business problems, and translating them into technology solutions, ensuring the high quality of the solution.
Drive the development, integration, and deployment of advanced AI, data engineering, and cloud-based solutions. The ideal candidate will have deep expertise in data engineering, agentic AI systems, large language models (LLMs), and Model Context Protocol (MCP).The preferred candidate will bring deep experience with AWS and Snowflake services, including a strong understanding of security best practices for cloud-based AI and data solutions.
We are seeking a highly motivated senior software engineer to lead large, strategic, and complex projects, developing scalable systems that enhance our product analytics capabilities. You will help design and architect solutions that can scale to meet our growing business needs. The ideal candidate loves to collaborate with others. We're a hardworking, energetic team that is passionate about our customers.
Pricing and monetisation have never been more critical at Trusted Housesitters, and this analytical work will directly shape our commercial success and growth trajectory. As the Senior Pricing Analyst, you'll inform how we price, package, and optimise our membership model for sustainable growth by partnering closely with Product, Growth, and Finance teams.
Collect, analyze and present data for product management and marketing decisions. Construct and visualize key product metrics and indicators. Design product/marketing features experiments, impact estimation (A/B testing). Diligently monitor user behavior and provide data insights. Conduct deep-dive analyses to uncover hidden product opportunities and propose product improvements based on data insights to drive key metrics.