At a Glance
- 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.
- Other info: Dynamic work environment with a focus on innovation and career growth.
- Why this job: Make an impact with cutting-edge technology and drive digital transformation.
- Qualifications: Experience in data science leadership and strong skills in Azure ML and Python.
The predicted salary is between 43200 - 72000 ÂŁ per year.
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).
- Handsâon 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 endâtoâend 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 realâtime 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.
Infosys is a global leader in nextâgeneration 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 AIâpowered 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 alwaysâon 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 in London employer: Infosys
Contact Detail:
Infosys Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Lead Analyst - Data Science in London
â¨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure Machine Learning and MLOps. This will give potential employers a taste of what you can do and set you apart from the crowd.
â¨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. Make sure you can explain your thought process clearly, as communication is key in this role. We want to see how you tackle problems!
â¨Tip Number 4
Apply through our website! Itâs the best way to ensure your application gets noticed. Plus, it shows youâre genuinely interested in joining our team at Infosys. Letâs navigate this journey together!
We think you need these skills to ace Senior Lead Analyst - Data Science in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Lead Analyst role. Highlight your expertise in data science, Azure Machine Learning, and team management to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data science and how you can contribute to our culture of innovation and collaboration at Infosys. Be genuine and let your personality come through.
Showcase Your Projects: If you've worked on any relevant projects, donât hold back! Include links or descriptions of your work with ML pipelines, model monitoring, or any other cool stuff you've done. We love seeing practical examples of your skills!
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team!
How to prepare for a job interview at Infosys
â¨Know Your Tech Inside Out
Make sure youâre well-versed in Azure Machine Learning, Python, and the ML frameworks mentioned in the job description. Brush up on your knowledge of MLOps and CI/CD pipelines, as these will likely come up during technical discussions.
â¨Showcase Your Leadership Skills
Since this role involves managing a team, be prepared to discuss your experience in team leadership and mentoring. Think of specific examples where youâve successfully led projects or fostered a culture of innovation and collaboration.
â¨Prepare for Stakeholder Engagement
Practice how you would translate complex technical concepts into layman's terms for business stakeholders. Be ready to share examples of how you've effectively communicated insights and recommendations to senior leadership in the past.
â¨Emphasise Responsible AI Principles
Familiarise yourself with Responsible AI principles like fairness and explainability. Be prepared to discuss how youâve implemented these principles in your previous work, as they are crucial for the role.