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Lead Data Science Consultant

212499 Requisition #


An opportunity has arisen to help experian and its clients succeed in an ambitious new project. You will be working with cutting edge technology to help our tier one financial services clients get the most out of our platform and data.

You will be expected to provide clients advice and leadership on how to use the Ascend platform and its data in order to complete complex analytical projects. Projects can very between setting up dashboards for insight projects, building analytical models using ML and statistics, building custom apps and tools for clients to integrate into their work.

You will be providing the Ascend Data Science team and the wider Experian analytics team advice on best practice within analytics. How should a project be structured? What tools should be applied for each problem? Which approaches are suitable?

You will engage in pre-sales conversations, working with our market consultants on opportunities to establish how the platform could fit the client’s needs. Working with the Ascend Data Science team to build demos that illustrate how the platform could

You will be the voice of the customer for platform development. Working with the Ascend development team and product board to identify what our clients want to use the platform for and how we best serve them.


Working in a data Science Team

You are familiar with the type of work that a data science team is required to do. You have provided leadership and coaching to team members in the past.

Internal stakeholder management

You are used to working in a role that involves networking with other teams. You know how to set and manage realistic expectations.

Client stakeholder management

You are used to talking to clients from technical and non-technical backgrounds. You can present a clear outcome-oriented story and are used to seeing things from the clients point of view.

You have run training workshops in the past and are comfortable presenting to small audiences.

Ideally you have experience within the financial services industry and understand the goals and priorities of such clients.

Technical Experience

You have 5+ years of experience using analytical tools and methods. You are proficient in at least one programming language and able to provide guidance to others on how best to use analytical tools.

It is essential you have experience with at least one of R or Python as well as SQL.

Familiarity with any of the following tools/skills is beneficial:

  • ML
  • Statistics
  • Spark
  • Scala
  • Tableau

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