We are looking for a motivated and ambitious Account Manager (Digital Experience Technologies/Platforms) to support our growth in Experience Management solutions across all industries. This role involves direct sales, partner engagement, and account management. You should have a strong track record in managing medium to high-value accounts, preferably in technology/software sales. You will report to the Sales Manager and work in a fast-paced, high-growth environment. This is an exciting opportunity to grow business development, account management, and enterprise sales skills.

We are looking for a Senior Data Scientist to lead end-to-end delivery of predictive analytics solutions across our client engagements. You will own the full modelling lifecycle – problem framing, feature engineering, model build, and production handoff along with engaging directly with clients to turn analytical findings into decisions. Beyond delivery, you will set the technical bar for the team and mentor junior data scientists. The right person thinks like a business analyst as much as a data scientist. You ask why a problem matters before deciding how to solve it, and you know how to communicate complex work in plain language to stakeholders who don’t live in model metrics.

In this role, you will lead the design and translation of customer journeys into intuitive, user-centered, and implementation-ready digital experiences, ensuring alignment with business objectives, user needs, and regulatory standards, while supporting both client delivery and proposal development.

We are looking for a Data Scientist to build and deliver predictive analytics solutions across our client engagements. Working alongside a Senior Data Scientist and AI Leader, you will contribute to the full modelling pipeline – from data preparation and feature engineering through to model evaluation and insight communication. You are technically solid and genuinely curious about what the data is trying to say. You care about the business context behind a problem, not just how well a model scores, and you communicate your findings clearly to both technical and non-technical audiences.