Data Science Engineer
3 weeks ago
Are you an experienced professional looking for a new opportunity to work on real-life challenges in data science?
This is a fantastic role at YTL UK where you will work closely with stakeholders to identify issues and use data to propose solutions for effective decision-making.
We are looking for a technical enthusiast who would like to contribute, mentor and shape our data science team and loves a challenge.
You will work in conjunction with a team of IoT specialists delivering proof-of-value agile experiments as well as larger projects and maintenance of live systems, on-premises and in the cloud.
What You'll Do- Data Ingestion and Processing: assist with information gathering/requirements elicitations, create well-engineered scalable data pipelines within Azure, retrieve and collect open and closed data sources and hybrid environments, including data processing, cleansing and verification.
- Machine Learning Development: apply machine learning algorithms and libraries, build predictive models and machine-learning algorithms, carry out statistical analysis, including data modelling and hypothesis testing.
- Communication and Collaboration: present information using data visualization techniques, deliver workshops and produce documentation, communicate and explain complex processes to people who are not programming experts.
Key Requirements:
- Azure cloud technologies - Synapse (predominately), ADX, ADF, Azure Data Lake Storage and Event Hubs.
- Parquet and Delta Parquet formats.
- Data modelling, SQL and NoSQL.
- The software development lifecycle and DevOps/ML-Ops.
- Hands-on coding - Python, PySpark (R is nice to have).
- Knowledge of various machine learning techniques and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts and their applications.
Salary: £60,000 - £80,000 per annum. We offer a total pension contribution up to 20%, career progression and professional development opportunities, 25 days' holiday rising to 28 with length of service, and more.
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