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Job Description

Role - Senior Lead Analyst- Data Scientist

Technology – Data science, MLops, GenAI

Location – London, UK

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.

Your Role: Data Scientist

: Azure data science and open AI

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

Overview

Infosys is a global leader in next- 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 and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.

“By applying via Easy Apply option you confirm you have read, and you accept Infosys Data Privacy notice for the country of the job posting. Please see the relevant Data Privacy Notice under the link: https://digitalcareers.infosys.com/infosys/privacy-notice-emea.”

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.