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Overview

Product Data Scientist - Remote in the UK

Austin Fraser are recruiting for a Product Data Scientist on behalf of a global tech-first organisation managing and supporting the world's largest online community of healthcare professionals. This role would suit a product-orientated data scientist or analyst with excellent communication & stakeholder management skills.

Responsibilities:

As a Product Data Scientist your responsibilities will include:

  • Work on various A/B tests to analyse customer engagement and identify behaviour trends.
  • Build statistical models using Python to predict customer behaviour, and identify opportunities for optimising customer journeys.
  • Scope, design, develop and implement analytics project in order to support the work of the wider product team.
  • Developing and presenting insights to key stakeholders to inform product development.
  • Work with the product development team to identify projects and processes for optimisation in order to drive business value and facilitate a data-driven approach to product development.

Required Skills & Experience:

  • Expert Python Skills and statistical modelling ability.
  • Strong exposure to at least one Data Visualisation / BI Platform. (e.g: QlikView/QlikSense, PowerBI, Tableau)
  • Previous experience working in a product development team, or contributing to product development through advanced analytics.
  • Customer-orientated mindset with a passion for driving customer experience through analytics.

This role is intended to delivered predominantly remotely, with very infrequent travel to our client's Oxfordshire offices on as-hoc basis.

To be considered for this opportunity, please ' Apply Now', or contact Sam Chaher at Austin Fraser via LinkedIn.

Austin Fraser is acting as an Employment Agency in relation to this vacancy.

Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status.

Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants.