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For Companies At a Glance
- Tasks: Lead data science projects and engage with clients to drive analytics strategies.
- Company: Global leader in digital services and consulting, committed to inclusivity.
- Benefits: Competitive salary, opportunities for continuous learning, and a dynamic work environment.
- Why this job: Make a real impact in the digital transformation journey of clients across various sectors.
- Qualifications: Experience in analytics leadership, strong knowledge of data platforms, and excellent communication skills.
- Other info: Join a culture of innovation and growth with a focus on responsible AI.
The predicted salary is between 54000 - 84000 £ per year.
Overview
Role - Practice Lead- Data Scientist
Technology – Data science, MLops, GenAI
Location – London, UK
Compensation – Competitive
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we steer our clients through their digital journey by enabling the enterprise with an AI-powered core and agile digital at scale. Our always-on learning agenda drives continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Infosys is committed to equality of opportunity and inclusivity for all employees.
Responsibilities
- Technical Expertise: 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.
- Client Management & Engagement: Serve as the primary point of contact for senior client stakeholders. Understand client business objectives and translate them into actionable analytics strategies.
Practice Lead - Data Science_ UK in London employer: Infosys
Contact Detail:
Infosys Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Practice Lead - Data Science_ UK in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Prepare for interviews by practising common questions related to data science and client management. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your expertise! Create a portfolio that highlights your projects, especially those involving AI/ML frameworks and data visualisation tools. This will help you stand out and demonstrate your skills to potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Practice Lead - Data Science_ UK in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Practice Lead - Data Scientist. Highlight your experience in client-facing analytics leadership and any relevant projects you've worked on, especially in healthcare or the public sector.
Showcase Your Technical Skills: Don’t forget to showcase your technical expertise! Mention your knowledge of data platforms like Azure, AI/ML frameworks, and any visualization tools you’re familiar with. This will help us see how you fit into our tech landscape.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your skills align with our mission at StudySmarter. Make it personal and engaging!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Infosys
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of data platforms like Azure and AI/ML frameworks. Be ready to discuss how you've used these technologies in past projects, especially in client-facing roles. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Master Stakeholder Management
Since this role involves a lot of client interaction, think about your previous experiences managing stakeholders. Prepare examples where you successfully translated business objectives into actionable analytics strategies. This will demonstrate your ability to engage and influence senior clients.
✨Showcase Your Communication Skills
Practice articulating complex data concepts in simple terms. You might be asked to explain technical details to non-technical stakeholders, so being able to communicate clearly is key. Consider doing mock interviews with friends or colleagues to refine your presentation style.
✨Understand Responsible AI and Data Ethics
Familiarise yourself with the principles of Responsible AI and data ethics, as these are crucial in today’s data landscape. Be prepared to discuss how you’ve incorporated these principles into your work, which will highlight your commitment to ethical practices in data science.
