Key Role
We are looking for a skilled Data Scientist with experience in machine learning to help us drive innovation and solve complex problems.
This is an exciting opportunity to work on cutting-edge projects that combine research and real-world applications, using advanced algorithms and techniques to identify trends and patterns in data.
Responsibilities:
* Develop and implement predictive models from time series data
* Analyse and visualise results to gain insights into financial markets
* Communicate findings to both technical and non-technical stakeholders
Requirements:
* Masters degree or equivalent qualification in Computer Science, Data Science or related field
* Proficiency in programming languages such as Python and experience with machine learning frameworks (e.g., Sklearn, TensorFlow, Keras)
* Interest in creating machine learning models for forecasting and anomaly detection
We value:
* Familiarity with machine learning for tabular data and time series
* Experience with data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib, Seaborn)
* Ability to work collaboratively in a team environment
Why this role?
* Innovative Environment: Work in a people-centric workplace that fosters creativity and out-of-the-box thinking
* Research with Impact: Engage in projects that have a direct impact on business outcomes
* Collaborative Culture: Join a team that values mutual support and team achievements