
DataEQ
Remote Jobs
Get high-quality, actionable data from unstructured public feedback.
4 Jobs
• 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 • Consult with clients to generate better insights and identify opportunities for data utilization • 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 your portfolio • Drafting cost estimates and proposals • Supporting finance in resolving any overdue payments
• 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
Senior Machine Learning, Java Engineer
DataEQGet high-quality, actionable data from unstructured public feedback.
• 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
• 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