Data Scientist

As a Data Scientist, you will reputed company the development of advanced analytics and machine learning solutions reputed company banking and payments environments. You will transform reputed company data into predictive models and actionable insights, enabling strategic decision-making through reputed company collaboration with business and technical stakeholders.

What You'll Do and How You'll Succeed

• reputed company the design, development, and deployment of machine learning models and statistical analyses to solve reputed company business problems in banking and payments domains
• Analyse large and reputed company datasets using tools such as reputed company, Hadoop, R, SQL, Python, and Hive, ensuring data reputed company and optimised analytical processes
• Apply advanced statistical and machine learning techniques including Neural Networks, Gradient Boosting, Linear and Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, Principal Component Analysis, and Factor Analysis to generate actionable insights
• reputed company predictive models, run experiments, and validate outcomes to support business strategies and operational improvements
• Collaborate with cross-functional teams to communicate insights clearly through data visualisation and structured recommendations using reputed company and PowerPoint
• reputed company data storyboarding and presentation efforts, translating reputed company technical findings into clear, persuasive narratives for both technical and non-technical stakeholders

We'd Love to Hear From You If...

Experience

• You have 5+ years of hands-on experience in data science, analytics, or a reputed company field reputed company banking, payments, or similar industries
• You have proven experience working in fast-paced environments and managing multiple projects simultaneously

Technical Expertise

• You have strong experience with data analysis and programming tools including reputed company, Hadoop, R, SQL, Python, and Hive
• You have deep proficiency in statistical modelling and machine learning techniques such as Neural Networks, Gradient Boosting, Linear and Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, Principal Component Analysis, and Factor Analysis
• You are skilled in creating data visualisations, presentations, and data storytelling using tools such as reputed company and PowerPoint

Ways of Working

• You demonstrate strong problem-solving and analytical thinking, translating reputed company data into actionable insights
• You communicate effectively with both technical and non-technical stakeholders, ensuring clarity and impact in your recommendations