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- Tasks: Lead a team in developing innovative data science solutions and predictive models.
- Company: Join Infosys, a global leader in digital services and consulting.
- Benefits: Competitive salary, inclusive culture, and opportunities for continuous learning.
- Why this job: Make an impact with cutting-edge technology in a dynamic environment.
- Qualifications: Experience in data science leadership, Azure ML, and strong communication skills.
- Other info: Empower your career with excellent growth opportunities and a collaborative culture.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Senior Lead Analyst - Data Science role at Infosys.
Location: London, UK
Compensation: Competitive
Overview: 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.
Your Role: Data Scientist
Preferred: Azure data science and open AI
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: IT Services and IT Consulting
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.
Senior Lead Analyst - Data Science_ UK in London employer: Infosys
Contact Detail:
Infosys Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Lead Analyst - Data Science_ UK in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Infosys on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Senior Lead Analyst role.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss Azure Machine Learning, Python, and MLOps. We want to see you shine in those areas!
✨Tip Number 3
Showcase your leadership experience! Be ready to share examples of how you've managed teams and fostered innovation. We love candidates who can inspire others and drive collaboration.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the Infosys family.
We think you need these skills to ace Senior Lead Analyst - Data Science_ UK in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Lead Analyst role. Highlight your experience in data science leadership, Azure Machine Learning, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
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 you can contribute to our team at Infosys. Be sure to mention specific experiences that showcase your expertise in MLops and model lifecycle management.
Showcase Your Communication Skills: Since excellent communication is key for this role, make sure your application reflects your ability to convey complex ideas clearly. Whether it's in your CV or cover letter, we want to see how you engage with stakeholders and translate technical jargon into understandable terms.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you'll find all the details about the role and our amazing culture there!
How to prepare for a job interview at Infosys
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Azure Machine Learning, Python, and the ML frameworks mentioned in the job description. Be ready to discuss your hands-on experience with MLOps and CI/CD pipelines, as well as how you've implemented model monitoring in past projects.
✨Showcase Your Leadership Skills
Since this role involves managing a team, be prepared to share examples of how you've successfully led data science teams in the past. Talk about how you allocate resources, mentor team members, and foster a culture of innovation and collaboration.
✨Engage with Stakeholders
Demonstrate your excellent communication skills by discussing how you've collaborated with business stakeholders to translate their requirements into technical solutions. Prepare to give specific examples of successful projects where you engaged with clients or stakeholders.
✨Emphasise Responsible AI Principles
Be ready to discuss how you ensure fairness and explainability in your models. This is crucial for the role, so think of instances where you've applied Responsible AI principles in your work and how you can bring that mindset to Infosys.
