DataEQ

Full-stack Engineer

• Join a small dev team building web applications for clients and staff
• Work on both front-end and back-end code, processing real-time data streams
• Efficiently store data for real-time querying
• Annotate data using crowdsourcing and machine learning systems
• Collaborate with the dev team to meet company needs and goals
• Participate in an agile-lite environment focused on delivering great software quickly

Software Developer

Backend Engineer

• Building and improving AI systems that process and analyse real-time data streams
• Developing and maintaining machine learning models that work alongside our crowdsourcing platform
• Providing intelligent data analysis and insights to clients
• Working with real-time data processing and building scalable ML solutions
• Implementing efficient data storage and retrieval systems

Senior Machine Learning, Java Engineer

Account Executive

• Retain existing client base
• Ensure that client renewals are processed timeously
• Complete relevant RFPs and RFQs where required
• Build a solid network of contacts in each client organisation
• Uncover key issues in client organisations that our data can be used to solve
• Ensure that our data is understood and used widely across client organisations
• Upsell existing client base
• Create a clear strategy for the growth of your current client base and your focal industries
• Ensure that your clients are getting as much value out of our data as possible
• Ensure that our data is pushed into varying teams within your client organisations and is used by a multitude of users and budget holders
• Manage day to day client queries
• Assist clients with any day to day queries
• Ensure the smooth running of your clients’ Analyse and Engage accounts
• Help clients get as much value as possible out of our data, whether through building dashboards, talking the clients through insights, or training the clients on Analyse and Engage
• Brief the analyst team on reporting requirements and ensure that completed reports reflect client requirements; check reports for errors before sending them off to clients; manage client change requests
• Manage client expectations
• Internal stakeholder management and administration
• Manage Account Managers (where applicable) and this will include hiring, onboarding, upskilling, strategising with, and setting KPIs for Account Managers
• Setting clear client forecasts & upsell plans across yours and your Account Managers’ portfolios
• Drafting cost estimates and proposals
• Supporting finance on resolving any overdue payments

Software Developer

Senior Machine Learning, Java Engineer

Account Director