Data Scientist

Role Overview: At Franklin Templeton, you will be a part of a dynamic and diversified firm that focuses on helping clients achieve their investment goals. The firm offers opportunities for growth and development in asset management, wealth management, and fintech. You will join a talented global team that is dedicated to delivering better outcomes for clients worldwide. Key Responsibilities: - Implement data collection strategies to gather relevant data from various sources. - Clean, preprocess, and validate data to ensure accuracy and reliability for analysis. - Collaborate with data engineering teams to maintain and enhance data pipelines. - Perform exploratory data analysis to identify trends, patterns, and insights within datasets. - Develop and optimize machine learning models to address business problems and improve processes. - Assist in model evaluation, validation, and deployment, monitoring performance and making adjustments as needed. - Analyze data related to human behavior to develop models that predict and influence outcomes. - Collaborate with cross-functional teams to understand requirements and provide data-driven insights. - Stay updated on the latest developments in data science, machine learning, and AI technologies. Qualifications Required: - Masters or Bachelors degree in Statistics, Mathematics, Econometrics, Computer Science, Engineering, or related disciplines. - 2-4 years of experience in data science, predictive modeling, and machine learning. - Proficiency in Python, R, or SQL with hands-on experience in data analysis and model development. - Basic knowledge of Generative AI models and their applications. - Strong written and verbal communication skills. - Effective organizational and planning abilities. - Strong interpersonal skills and the ability to build relationships with colleagues and stakeholders. (Note: The additional details of the company were not included in the job description provided.) Role Overview: At Franklin Templeton, you will be a part of a dynamic and diversified firm that focuses on helping clients achieve their investment goals. The firm offers opportunities for growth and development in asset management, wealth management, and fintech. You will join a talented global team that is dedicated to delivering better outcomes for clients worldwide. Key Responsibilities: - Implement data collection strategies to gather relevant data from various sources. - Clean, preprocess, and validate data to ensure accuracy and reliability for analysis. - Collaborate with data engineering teams to maintain and enhance data pipelines. - Perform exploratory data analysis to identify trends, patterns, and insights within datasets. - Develop and optimize machine learning models to address business problems and improve processes. - Assist in model evaluation, validation, and deployment, monitoring performance and making adjustments as needed. - Analyze data related to human behavior to develop models that predict and influence outcomes. - Collaborate with cross-functional teams to understand requirements and provide data-driven insights. - Stay updated on the latest developments in data science, machine learning, and AI technologies. Qualifications Required: - Masters or Bachelors degree in Statistics, Mathematics, Econometrics, Computer Science, Engineering, or related disciplines. - 2-4 years of experience in data science, predictive modeling, and machine learning. - Proficiency in Python, R, or SQL with hands-on experience in data analysis and model development. - Basic knowledge of Generative AI models and their applications. - Strong written and verbal communication skills. - Effective organizational and planning abilities. - Strong interpersonal skills and the ability to build relationships with colleagues and stakeholders. (Note: The additional details of the company were not included in the job description provided.)