Data Scientist

We are looking for a Data Scientist who has a strong background in data engineering, machine learning, and cloud computing. You will be responsible for designing, developing, and deploying data pipelines and models using Azure tools like Data Factory and Fabric.

CMS is a Future Facing firm with more than 70 offices in over 40 countries and 5,000+ lawyers worldwide. We combine deep local market understanding with a global perspective. We are passionate about building strong relationships with our clients, our people, and the communities we work in.

We take a bold, dynamic, and agile approach to ensure our clients are able to face the future with confidence. We are driven by technology and readily embrace the possibilities it opens up for developing new and better ways of working. Our aim is to inspire, impact and support our clients and our people, helping them to maximize their potential and thrive.

* Design, build, and maintain scalable and reliable data pipelines using Azure data Factory and Fabric
* Apply machine learning techniques and algorithms to analyze large and complex data sets
* Develop and deploy data models and solutions using Azure machine learning service and other Azure tools
* Optimize and monitor the performance and quality of data pipelines and models
* Communicate and present data findings and insights to internal and external stakeholders

Requirements

* At least 3 years of experience as a Data Scientist or data engineer
* Proficient in Python, SQL, and other programming languages for data analysis
* Hands-on experience with Azure Data Factory, Fabric, machine learning service, and other Azure tools
* Knowledge of data engineering best practices, data quality, and data governance
* Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
* Strong analytical and problem-solving skills
* Excellent communication and presentation skills

At CMS, a next-generation mindset is woven into all we do. We're diverse, supportive and inclusive, embracing our corporate social responsibility and creating a culture of sustainability in which every one of our people, whatever their background, can maximise their potential and thrive. For further information about CMS' diversity initiatives and programmes, please view the Diversity & Inclusion pages on our website.

Please apply online or contact a member of the Talent Acquisition team if you have any questions. For information regarding our competitive range of benefits please visit our Rewards & Benefits page on our website.

Please note that CMS have a preferred agency panel in place. Only applications submitted via the portal at the point of instruction will be accepted.

#LI-EC1