Description:
- Work closely with clients in understanding key business issues.
- Gather and analyze requirements to develop impactful recommendations and solutions.
- Utilize advanced analytical techniques to solve challenging business problems. Leverage a diverse set of technologies and tools to deliver insights.
- Problem solving ability through the use and/or development of algorithms, models, testing, etc.
- Propose and develop results, models and rules engines using statistics, machine learning, Natural Language Processing, Linear Programming, etc.
- Work with large volumes of data (structured and unstructured).
- Architect the data platform models for scalability, repeatability and performance to build data solutions
- Investigate and perform deeper analysis to produce impactful algorithms to achieve targeted outcomes.
- Perform quantitative analysis of data issues.
- Effectively communicate orally and written with peers within Data & Analytics teams, KPMG and the client.
- Education and professional working experience in math, statistics, operations research, engineering, computer science or econometrics.
What you bring to the role
- Expert knowledge in advance modeling techniques and mathematical models, algorithm use and optimization, and data science technologies.
- Understand the full spectrum of data feature retrieval, selection, and engineering; model technique selection, model build, implementation, monitoring and integration; interpretation of outputs, and development of recommendations.
- Capable of identifying commonalities across seemingly disparate analytics use cases, in order to identify unique ways of approaching modeling.
- Strong experience in advanced analytics, statistics, data mining, predictive analysis, time-series analysis, natural language processing and deep learning.
- Proficient at SQL, Python or R and popular ML frameworks and libraries.
- Experience in mainstream cloud services: such as AWS, MS Azure, GCP and their data analytics, ML tools.