Principal Data Scientist (Remote)

Datatech Analytics
Greater London
8 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist: Scale ML for Audiences (Hybrid)

Principal Data Scientist London, United Kingdom

Principal Data Scientist: ML Leader, Mentor, Hybrid Role

Principal Data Scientist - Lead & Scale Production ML

Direct message the job poster from Datatech Analytics

Remote Working - UK Home-based with very occasional travel into the office

£52,737 - £66,197 (National Framework) or £58,409- £71,869 (London Framework – if you are London office based or homebased and live within the boundary of the M25)

Plus an additional allowance (paid as a separate amount to salary) of up to £7000 for exceptional candidates.

There is also an additional homeworking allowance of £581 per annum for those working from home.

Job Ref: J12946

Please note we can only accept applications from those with current UK working rights for this role, this client cannot offer visa sponsorship.

A new and exciting opportunity has arisen for a Principal Data Scientist with a strong background in Advanced AI (Artificial Intelligence) to lead, mentor and up skill a team of Data Scientists. Collaborating cross-functionally, the role will focus on the delivery of AI and Data Science programmes across the organisation, driving Data Quality, Data Governance and Best Practice. Proven and demonstratable experience of Python coding and cloud computing is required, coupled with excellent communication skills to problem solve and influence across all levels of the organisation. This is a leadership role and proven experience of leading a team to deliver is required.

Key Responsibilities:

  1. Lead the delivery of AI and Data Science programmes across the organisation.
  2. Lead and develop the Data Science team.
  3. Champion Data Science and Advanced Statistics, providing advice on complex analytic work.
  4. Contribute to the development of AI and Data Science programmes to drive high-impact outcomes.
  5. Experience of leading a team to deliver Data Science solutions.
  6. Promote excellence and innovation in data science methods for measuring health and social care services, learning from best practices nationally and internationally.
  7. Assess the effectiveness of various statistical and data science modelling approaches and advise on best tools and methods.
  8. Manage competing demands within the Data & Insight unit, ensuring capacity and stakeholder expectations are balanced.
  9. Build and maintain internal and external relationships to deliver the AI and Data Science programmes.
  10. Lead and facilitate multidisciplinary teams to achieve outcomes.
  11. Ensure quality control and assurance of outputs.
  12. Stay updated on developments in data, policy, and care delivery structures.
  13. Promote a culture of respect, fairness, and diversity.

Skills and Experience:

  1. Post-graduate qualification or equivalent professional experience.
  2. Deep understanding of data science techniques like machine learning and NLP.
  3. Experience in delivering complex analytics and data science solutions.
  4. Expert knowledge of tools such as Python, R, and SQL.
  5. Experience with cloud platforms (Azure, AWS, GCP).
  6. Experience with cloud-based tools like Databricks, Azure Machine Learning, and Azure AI Foundry.
  7. Experience deploying data science models at scale and collaborating with architecture/engineering teams.
  8. Proven leadership in managing data science teams.
  9. Strong influencing and stakeholder management skills.
  10. Ability to anticipate and resolve problems, and develop problem-solving skills in others.
  11. Excellent communication skills tailored to technical and non-technical audiences.

If this role sounds appealing, get in touch today to learn more! You can also refer friends or colleagues through our referral schemes, earning rewards for successful placements.

Datatech is a leading UK analytics recruitment agency and host of Women in Data UK. Visit our website for more info: www.datatech.org.uk

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.