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- Tasks: Lead a team of data scientists to develop innovative ML solutions.
- Company: Infosys, a global leader in digital services and consulting.
- Benefits: Competitive salary with bonuses, inclusive culture, and continuous learning opportunities.
- Why this job: Shape the future of AI while leading a dynamic team in London.
- Qualifications: 10 years of experience in data science and strong leadership skills.
- Other info: Join a diverse team committed to innovation and excellence.
The predicted salary is between 43200 - 72000 £ per year.
Role: Lead Analyst Data Scientist
Location: London, UK
Compensation: Competitive (including bonus)
Job Description:
Today, the corporate landscape is dynamic, and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you. At Infosys, we assure that your career will never stand still, we will inspire you to build what's next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people.
Technical Expertise:
- Proven experience in data science leadership roles with team management.
- Strong expertise in Azure Machine Learning, Python, and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Hands-on experience with MLOps, CI/CD pipelines, and model monitoring.
- Knowledge of cloud architecture, data engineering, and security best practices.
- Design and implement ML pipelines on Azure Machine Learning.
- Own end-to-end model lifecycle: data ingestion, feature engineering, training, deployment, and monitoring.
- Excellent communication and stakeholder management skills.
Key Responsibilities:
- Team Leadership & Management: Manage and mentor a team of data scientists and ML engineers. Allocate resources, review deliverables, and ensure adherence to best practices. Foster a culture of innovation, collaboration, and continuous learning.
- Solution Development & Delivery: Build predictive and prescriptive models for business-critical use cases. Integrate models with enterprise systems and APIs for real-time inference. Ensure Responsible AI principles: fairness, explainability.
- Client & Stakeholder Engagement: Collaborate with business stakeholders to translate requirements into technical solutions. Present insights and recommendations to senior leadership.
Your Role: Data Scientist
Required: 10 Years of experience
Preferred: Azure data science and open AI
Overview: 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 expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.
Lead Analyst- Data Science in London employer: Infosys
Contact Detail:
Infosys Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analyst- Data Science in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Create a portfolio showcasing your data science projects. Whether it's a GitHub repo or a personal website, let your work speak for itself. This is your chance to shine and show potential employers what you can do!
✨Ace the Interview
Prepare for interviews by practising common data science questions and scenarios. Don’t forget to brush up on your communication skills too; being able to explain complex concepts simply is key in this role!
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance at landing that Lead Analyst position. We love seeing candidates who are proactive and engaged with our company!
We think you need these skills to ace Lead Analyst- Data Science in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead Analyst Data Scientist role. Highlight your expertise in Azure Machine Learning, Python, and any relevant ML frameworks to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how your leadership experience can contribute to our innovative culture at StudySmarter.
Showcase Your Projects: If you've worked on any cool data science projects, don’t hold back! Share specific examples of your work with MLOps, CI/CD pipelines, or model monitoring to demonstrate your hands-on experience.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Infosys
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in Azure Machine Learning, Python, and ML frameworks like TensorFlow and PyTorch. Be ready to discuss your hands-on experience with MLOps and CI/CD pipelines, as these are crucial for the role.
✨Showcase Your Leadership Skills
Since this is a lead analyst position, be prepared to talk about your experience managing teams. Share specific examples of how you've mentored data scientists and ML engineers, and how you've fostered a culture of innovation and collaboration.
✨Prepare for Stakeholder Engagement
Think about how you've collaborated with business stakeholders in the past. Be ready to explain how you translated their requirements into technical solutions and how you presented insights to senior leadership. This will show that you can bridge the gap between tech and business.
✨Emphasise Responsible AI Principles
Familiarise yourself with Responsible AI principles such as fairness and explainability. Be prepared to discuss how you've implemented these principles in your previous projects, as this aligns with the company's values and expectations.
