Data Scientist / AI Engineer

Job title – keep this clear and simple and ensure it is consistent with the market.

At a glance – a summary of the facts:

• location
• company (YouGov / Crunch / Chat etc.)
• intake / start date (early careers only)
• salary band for US roles only
• flexibility – e.g. fully remote / hybrid and specify number of days in office / or office-based
• date the job was posted
  
  
  

Job summary – a description of the role:

• Introductory paragraph with overview of responsibilities, reporting line / manager and team.
  
  
  

Job requirements – all essential skills, qualifications and experience, including any desirable criteria.

• What you need to bring to the role
• Qualifications
• Previous experience
• Essential process / systems knowledge
• It would be great if you also had
• List non-essential but nice-to-have qualities or skills
  
  
  

Benefits – overview of compensation package:

• details of salary progression if available
• key benefits for staff in that location (list will be available once the benefit guides are ready)
  
  
  

Application process (early careers only):

• e.g. 2-3 week process that will include 2-3 interviews and a short task.
• Reasonable accommodations will be made for all candidates as needed.
  
  
  

For roles based in California, New York, Colorado or Washington State, the base salary hiring range for this position is $XX,XXX to $XX,XXX.

Compensation offered will be determined by multiple factors including location, job-related knowledge, skills and experience.

Certain roles may be eligible for incentive compensation and additional benefits. All US based full time employees are eligible for the following benefits:

• Paid vacation, holidays and sick days
• Flexible working arrangement available
• Group medical, dental and vision insurance
• Company-paid life and disability insurance
• Paid parental leave
• 401(k) with company match
  
  
  

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