Practice Lead - Data Science_ UK

Infosys Limited
London
22 hours ago
Create job alert
Responsibilities

Serve as the primary point of contact for senior client stakeholders. Understand client business objectives and translate them into actionable analytics strategies. Drive account growth through consultative selling and solutioning.



  • Analytics & Technical Leadership: Oversee design and delivery of advanced analytics, AI/ML models, and data-driven solutions.
  • Guide technical teams on architecture, data engineering, and model development best practices.
  • Ensure compliance with data privacy, security, and regulatory standards.
  • Team Leadership & Enablement: Mentor and coach analytics professionals to build capability within the team.
  • Foster a culture of innovation, collaboration, and continuous improvement.

Qualifications

  • Preferred: Azure data science and OpenAI.
  • Proven experience in client-facing analytics leadership roles (preferably in healthcare or public sector).
  • Strong knowledge of data platforms (Azure), AI/ML frameworks, and visualization tools.
  • Expertise in stakeholder management, solution architecture, and project governance.
  • Understanding of Responsible AI, data ethics, and regulatory compliance.
  • Excellent communication, presentation, and influencing skills.

About Infosys

Today, the corporate landscape is dynamic, and the world ahead is full of possibilities. Infosys is a global leader in next-generation digital services and consulting, enabling clients in more than 50 countries to navigate their digital transformation. With four decades of experience, we steer our clients through their digital journey by enabling the enterprise with an AI-powered core and agile digital at scale. We emphasize continuous learning and a merit-based, inclusive environment. Infosys is an equal opportunity employer.


#J-18808-Ljbffr

Related Jobs

View all jobs

Infosys - Senior Practice Lead- Data Science - London, UK

Infosys - Senior Practice Lead- Data Science - London, UK

Junior AI Data Scientist - Practice Team (Remote-Friendly)

Junior AI Data Scientist – Practice Team (Remote-friendly)

Lead Data Scientist - End-to-End Data & AI (Hybrid)

Lead Data Scientist

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.