
Senior Lead Data Analyst
1 day ago
Job Title: Lead Data Modeller
We are seeking a highly skilled and motivated Senior Data Scientist with 10+ years of hands-on experience in predictive modelling to join our team.
About the Role:
- Analyzes multifaceted and high-dimensional data problems, developing innovative solutions, formulating sophisticated hypotheses, creating advanced proof of concepts to validate & refine analytical models and implement solutions to business problems.
- Participates in end-to-end data mining projects, utilizing advanced algorithms, machine learning models, and AI techniques to extract deep and actionable insights from complex, large-scale data sources.
- Executes the deployment and rigorous testing of data science solutions and insights, ensuring optimal performance, scalability, and seamless integration with existing enterprise systems and workflows.
- Presents complex data-driven insights and strategic recommendations to senior stakeholders, effectively translating intricate analytical results into clear, actionable business strategies and influencing key decision-making processes.
- Monitors, maintains, and continuously improves the performance of deployed models, conducting regular reviews, updates, and optimizations to ensure sustained accuracy, relevance, and business impact.
- Interacts and collaborates with cross-functional teams, including IT, data engineering, and various business units, to ensure the successful operationalization, integration, and scaling of data science solutions across the finance function.
- Built advanced algorithmic solutions to address business needs.
- Designed large-scale models using Regression, Linear Models Family, Time-series models.
- Driven the collection of new data and the refinement of existing data sources.
- Analysed and interpreted the results of analytics experiments.
- Ambitious approach to analytical solutions-both within a business area and across the enterprise.
- Data analysis, exploration, inference, prescription, and advanced analytics expertise.
- Ability to share dashboards, reports, and Analytical insights from data.
- Experience of having done visualization on large datasets - Preferred - added advantage.
Key Skills and Qualifications:
- Experience solving analytical problems using quantitative approaches.
- Passion for empirical research and for answering hard questions with data.
- Ability to manipulate and analyse complex, high-volume, high-dimensionality data from varying sources.
- Flexible analytic approach that allows for results at varying levels of precision.
- Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
- Expert knowledge of an analysis tool such as Pyspark and Python.
Education and Experience:
- Bachelor's / Master's Degree in Computer Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics or equivalent.
- Minimum 10 years of experience with Bachelor's in areas such as Data Analytics, Data Science, Data Mining, Artificial Intelligence, Pattern Recognition or equivalent OR no prior experience required with Master's Degree.
About Us:
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
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