At Franklin Templeton, everything we do is focused on one thing - delivering better client outcomes. We do that by partnering closely with our clients, assessing their strategic needs, and identifying the solution or solutions that can meet the challenge. Over 9,500 employees working in 30 countries around the world are dedicated to servicing investment solutions for our clients in more than 155 countries. For more than 75 years our success has been a direct result of the talent, skills and persistence of our people, and we are looking for qualified candidates to join our team. What is the Distribution Intelligence team responsible for? - The Distribution Intelligence Analyst - Data Science will be an integral part of our Distribution Intelligence team. - Collaborating closely with Franklin Templeton Distribution, you will harness the power of data to inform, execute, and measure our Distribution strategy. Your role will encompass the comprehensive range of distribution-related data, spanning across market, product, client, and engagement intelligence. - With an analytical mindset, you will interpret this data and provide insightful analysis to stakeholders at all levels of the organization. - Working in close partnership with our sales, marketing, and technology teams, you will co-create best-in-class solutions that drive sales, retain assets, and diversify Franklin Templeton's client base. What are the ongoing responsibilities of a Data Scientist? - Analyze complex and large datasets from various sources, including market, product, customer, sales, and marketing data, to identify patterns, trends, and correlations that provide actionable insights for improving business outcomes. - Develop and deploy predictive models using advanced statistical and machine learning techniques to support enhanced business understanding of sales trends, segmentation, customer behaviors, and performance, enabling proactive decision-making and strategic planning. - Create visually appealing and informative data visualizations to effectively communicate key insights, trends, and performance metrics to stakeholders at various levels of the organization. - Ensure data integrity, accuracy, and consistency by implementing data quality standards, data governance policies, and best practices to maintain high data quality across relevant systems and databases. - Collaborate closely with cross-functional teams, including business leaders, analysts, and IT teams, to understand business needs, align strategies, and translate business questions into data-informed solutions. - Effectively communicate complex technical concepts, insights, and recommendations to both technical and non-technical stakeholders through presentations, reports, and clear documentation. - Stay updated on industry trends, emerging technologies, and best practices in data science, business analytics and the asset management industry to identify new opportunities, tools, and methodologies that drive continuous improvement and innovation. What ideal qualifications, skills and experience would help someone to be successful? - We are actively seeking a talented and results-driven Data Scientist to join our team and play a crucial role in driving business outcomes through the power of data analytics and insights. - As a Data Scientist, you will apply your expertise in advanced data analytics, statistical modeling, and machine learning techniques to extract valuable insights and optimize our business strategies. - Your contributions will empower us to make data-informed decisions, identify growth opportunities, and propel our organization to new levels of success. - Master's/bachelor's degree in data science, Statistics, Computer Science, Mathematics, Economics, or a related field. - Minimum of 2 years of experience working as a Data Scientist or in a similar analytical role, with a focus on driving business outcomes through data analysis and insights. Experience in financial services or the asset management industry is a plus. - Strong analytical skills and proven ability to analyze complex datasets, derive actionable insights, and translate them into tangible business outcomes and recommendations. - Proficient in programming languages such as Python and R, and experience with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn). - Solid understanding of machine learning algorithms, model evaluation, and feature engineering. - Experience with frameworks like scikit-learn or TensorFlow is desirable. Interest and/or experience using new machine learning platforms, such as H2O, is a plus. - Proficiency in statistical modeling techniques such as regression, clustering, time series analysis, and hypothesis testing. - Ability to understand business objectives, market dynamics, and customer behavior to effectively contribute to Distribution business outcomes. - Excellent verbal and written communication skills to convey complex technical concepts to both technical and non-technical stakeholders. - Strong problem-solving abilities with a focus on identifying opportunities, designing analytical approaches, and translating findings into actionable solutions. - Ability to collaborate effectively in cross-functional teams, build relationships, and work towards shared goals. Join our team in this exceptional opportunity to contribute your data science expertise in a collaborative and forward-thinking environment. Together, we will leverage data-informed insights to shape our distribution strategies and propel our organization's growth and success. Work Shift Timing - 2:00 PM - 11:00 PM IST

Hyderabad

Mumbai

Chennai

Franklin Templeton - Data Scientist 

Job Description for Franklin Templeton - Data Scientist  in Franklin Templeton International Services (India) in  Hyderabad Mumbai Chennai for (2-5) years of experience. Apply Now!