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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Science Lead Consultant - **Company:** Infosys Limited - **Location:** Lyon, France - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Cluster Analysis, Relational Databases, Database Theory, Software Debugging, Software Design Patterns, DevOps, Event-Driven Programming, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Package Management Systems, Systems Development Life Cycle, Standard Sql, Azure Machine Learning, SQL Databases, Data Logging, Data Processing, Test-Driven Development (TDD), Azure Data Factory, Snowflake, Git, Pytest, Pyspark, Kubernetes, Information Technology, Data Analytics, Machine Learning Operations, Software Coding, Restful APIs, Databricks - **Published:** August 6, 2026 - **Apply:** https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25633&siteid=5439&PageType=JobDetails&jobid=2246742 ## About the Role * We are looking for candidates to build and implement analytics solutions to our esteemed clients. The incumbent should have strong aptitude for numbers, experience in any domain and willingness to learn some cutting edge technologies., * Hands-on experience in Data Science, Python/R, PySpark/SparkR Coding and associated state of the art technologies for Exploratory Data Analysis, building predictive models with big data. Familiarity with standard Clustering, Classification, dimensionality reduction and other techniques/Algorithms in Machine learning. * Experience in building and implementing ML driven business transformation use cases such as Demand Forecasting, Price/Promo Optimization, etc. * SQL knowledge and experience working with relational databases. * Hands-On MS Azure/GCP/AWS Cloud, Databricks/Snowflake, SQL knowledge * Scaling ML Models from POC phase. * List Azure services required for deployment, Azure Data bricks and Azure DevOps Setup * Ability to communicate actionable insights using data, often to a non-technical audience. * Ability to drive end-to-end data driven solutions with excellent sense of risk and resource management in any given situation * Good knowledge on statistical concepts such as properties of distributions, statistical tests and their proper usage. * Analyze and extract relevant information from large amounts data to help in automating the solutions and optimizing key processes. * A quick and enthusiastic learner (must) and who is willing to work on new technologies depending on requirement. Must Have Skills (Machine Learning Operations / Machine Learning Engineer) * Object oriented programming, coding standards, architecture & design patterns, Config management, Package Management, Logging, documentation * Experience in Test Driven Development and experience in using Pytest frameworks, git version control, Rest APIs * Azure ML best practices in environment management, run time configurations (Azure ML & Databricks clusters), alerts. * Experience designing and implementing ML Systems & pipelines, MLOps practices and tools such a MLFlow, Kubernetes, etc. * Exposure to event driven orchestration, Online Model deployment * Contribute towards establishing best practices in MLOps Systems development * Proficiency with data analysis tools (e.g., SQL, R & Python) * High level understanding of database concepts/reporting & Data Science concepts * Hands on experience in working with client IT/Business teams in gathering business requirement and converting into requirement for development team * Experience in managing client relationship and developing business cases for opportunities * Azure AZ-900 Certification with Azure Architecture understanding is a plus * Expertise in Object Oriented Python Programming with 4 -5 years' experience. * DevOps Working knowledge with implementation experience - 1 or 2 projects a minimum * Hands-On MS Azure / GCP/ AWS Cloud knowledge * Help team with ML Pipelines from creation to execution * List Azure services required for deployment, Azure Data bricks and Azure DevOps Setup, * Strong verbal and written communication skills with the ability to work well in a team. * Strong customer focus, ownership, urgency and drive. * Ability to handle multiple, competing priorities in a fast-paced environment. * Work well with the team members to maintain high credibility Work Experience: * Having 10+ years of experience in Data Analytics, Data Science and Machine Learning, Machine Learning Deployments. * Flexible to travel ## Description * Understand the requirements from the business and translate it into an appropriate technical requirements. * Creating a detailed business analysis, outlining problems, opportunities and solutions for a business. * Perform activities related to data wrangling, model building and model deployment. * Stay current with the latest research and technology and communicate your knowledge throughout the enterprise. * Lead initiatives to improve the team morale, camaraderie, and collaboration, * Assist team to coding standards (flake8 etc) * Guide team to debug on issues with pipeline failures * Engage with Business / Stakeholders with status update on progress of development and issue fix * Automation, Technology and Process Improvement for the deployed projects * Setup Standards related to Coding, Pipelines and Documentation * Adhere to KPI / SLA for Pipeline Run, Execution * Research on new topics, services and enhancements in Cloud Technologies Other key to have Skills: * Understanding of any one of domain (Eg: Retail, Supply chain, Logistics, Manufacturing). * Understanding of the project lifecycles: waterfall and agile. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [pytest: Simple, rapid and fun testing with Python](https://www.wearedevelopers.com/videos/213-pytest-simple-rapid-and-fun-testing-with-python) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Automagic Configuration in Python](https://www.wearedevelopers.com/videos/363-automagic-configuration-in-python) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe)