Team Leader Data Scientist
Salary undisclosed
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We are committed to leveraging data-driven insights to enhance our financial processes and drive strategic decisions. Our SPM & Accounting Division is seeking a talented Data Scientist to join our team and help transform our data into actionable insights.
Job Description: As a Data Scientist in SPM & Accounting Division, you will analyze complex financial data, develop predictive models, and generate reports to support decision-making processes. You will collaborate closely with accountants, financial analysts, and other stakeholders to identify opportunities for improvement and implement data-driven solutions.
Key Responsibilities:
- Analyse large datasets to identify trends, anomalies, and insights related to financial performance.
- Develop and implement predictive models to forecast financial metrics and trends.
- Collaborate with cross-functional teams to understand data requirements and business objectives.
- Create visualizations and reports to communicate findings and recommendations to stakeholders.
- Utilize statistical techniques to validate data accuracy and reliability.
- Continuously improve data collection and analysis processes to enhance efficiency and effectiveness.
- Stay updated on industry trends and best practices in data science and accounting.
carry out in-depth analysis related to product profitability and transactions
Qualifications:
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field; Master’s degree preferred.
- Proven experience as a Data Scientist, preferably in finance or accounting.
- Strong proficiency in programming languages such as Python or R, and familiarity with SQL.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Knowledge of accounting principles and financial reporting.
- Excellent analytical and problem-solving skills.
- Strong communication skills, with the ability to present complex data in a clear and concise manner.
- Ability to work independently and as part of a team
- has experience in the banking and financial industry
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