Milton Keynes, Buckinghamshire, South East, United Kingdom Hybrid / WFH Options
LA International Computer Consultants Ltd
modular, and testable code. Traditional Machine Learning Models: Experience with regression (linear, ridge), classification (logistic regression, decision trees, random forests), clustering (k-means, DBSCAN), and time-series forecasting (ARIMA, Prophet). Model evaluation, tuning, and deployment. Business Requirement Translation: Ability to convert business problems into data-driven solutions. Designing KPIs, metrics, and actionable insights. Stakeholder Collaboration: Effective communication with technical More ❯
Data Engineering to the Business) Extensive experience (5+ years) with Python and/or SQL Proven expertise and experience of Shallow ML frameworks - regression, classification, clustering; time series forecasting (prophet, ARIMA, SARIMA); dimensionality reduction approaches Proven experience in modern code development practices and implementation of MLOps strategies in the cloud to drive operational and infrastructure cost efficiencies. Knowledge of wider More ❯
Morley, Leeds, United Kingdom Hybrid / WFH Options
Evri, Inc
listed is our current software solution): ExData visualisation tools (PowerBI) and manipulating data (Python/Excel/VBA/SQL/Databricks/Spark), Analytical models (Python: SciKitLearn, Imblearn, Prophet, XGBoost, ExtraTrees, Kmeans Clustering), Web Scraping (Python: Selenium, Chrome driver, BeautifulSoup) and understanding of Databases (Oracle/SAP Hana/AWS). At Evri, we know we only grow if More ❯
skills & experience (listed is our current software solution): ExData visualisation tools PowerBI and manipulating data (Python/Excel/VBA/SQL/Spark), Analytical models (Python: SciKitLearn, Imblearn, Prophet, XGBoost, ExtraTrees, Kmeans Clustering), Web Scraping (Python: Selenium, Chrome driver, BeautifulSoup) and understanding of Databases (Oracle/SAP Hana/AWS). At Evri, we know we only grow if More ❯
/Financial modelling/Actuarial Sciences/Finance academic background Extensive understanding in life insurance business concepts. Experience with scripting and analytical languages e.g. Python, R, C++, C, Moses, Prophet, AXIS Quantitative technical abilities. Practical experience using a range of tools to perform data analytics Curious mind interested in investigating the underlying drivers and patterns Working level financial markets knowledge More ❯
