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Head of Data Science

Wyatt Partners

London

On-site

GBP 80,000 - 120,000

Full time

6 days ago
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Job summary

A leading B2B2C SaaS scale-up in Health Tech is seeking a Head of Data Science to spearhead their data initiatives. This role requires a seasoned professional to manage team dynamics, drive data solutions, and engage with senior business leaders. Candidates should have a strong analytical background with extensive experience leading data science teams.

Qualifications

  • 7+ years in data science with 3+ years managing a team.
  • Proficient in Python for data manipulation.
  • Experience with regression, clustering, and neural networks.

Responsibilities

  • Lead the team's strategy and execution.
  • Deliver headcount growth within 12 months.
  • Communicate analytical insights to senior stakeholders.

Skills

Team Management
Analytical Insights
Python
Machine Learning

Education

Master’s or PhD in Statistics, Mathematics, Computer Science

Tools

Git
Bitbucket
SVN
Team Foundation

Job description

B2B2C SaaS scale up in Health Tech with proven revenue model & significant Series B funding are looking to hire their first Head of Data Science.

You will be responsible for leading the teams strategy & execution as well as delivering significant headcount growth in the first 12 months.

Successful candidates must have demonstrable experience of managing and growing a team, deriving analytical insights from a variety of business contexts, and communicating those insights to senior business stakeholders.

Ideal Profile:

  • Master’s or PhD in Statistics, Mathematics, Computer Science, or related quantitative field
  • 7+ years of experience driving data science solutions and 3+ years of hands-on experience managing a team of data scientists
  • Demonstrated ability to manage and effectively lead a team while effectively prioritizing and allocating their time and resources
  • Proficient in use of Python for manipulating data and drawing insights from data sets
  • Experience using machine learning techniques such as regressions and classification analysts, clustering, neural networks, etc.
  • Knowledge of build systems, version control systems using Git, Bitbucket, SVN, or Team Foundation
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