Purpose of the role :

To extract meaningful insights from complex data sets, developing robust decision models, and presenting actionable recommendations to stakeholders across the departments.

Accountabilities :

- Identification and extraction of relevant data from various internal and external sources.

- Performing sensitivity analysis and scenario planning.

- Monitoring and evaluation of the performance of existing models.

- Development and implementation of data quality control procedures.

- Building and validation of quantitative models to support decision-making across different business areas.

Embark on a transformative journey as Decision Scientist, where you will play a pivotal role to manage operations within a business area and maintain processes with risk management initiatives. You will take ownership of your work and provide first-class support to our clients with expertise and care.

Purpose of the role :

To enable data-driven decision-making by leveraging advanced analytics, machine learning, and generative AI techniques, while utilizing modern data platforms and visualization tools to deliver actionable insights for business impact.

Accountabilities are given below :

- Perform deep-dive exploratory and diagnostic analytics to uncover patterns and trends in large, complex datasets

- Develop and validate predictive models using machine learning techniques for forecasting and business impact analysis

- Apply Natural Language Processing (NLP) and Generative AI (e.g., AWS Bedrock) for advanced data analysis and insight generation

- Design and implement scalable data workflows using SQL and Python for efficient data extraction and transformation

- Create compelling dashboards and visualizations using Tableau/Power BI to communicate insights effectively

- Prepare executive-level presentations and reports using PowerPoint and Excel for stakeholder communication

- Collaborate with cross-functional teams to translate business problems into analytical solutions and deliver quick-turnaround assignments.

Technical skills required for this role include :

- Experience in Programming & Data Analysis : Python, SQL.

- Machine Learning & AI : ML algorithms, NLP, Generative AI (AWS Bedrock)

- Cloud Platforms : AWS.

- Visualization & Reporting : Tableau, Power BI, PowerPoint, Excel.

- Require experience in Data Handling : Data wrangling, quality checks, and performance monitoring.