Assistant Manager, Data Science and Machine Learning, Audit and Assurance
Deloitte
13 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Tech stack
Microsoft Word
Microsoft Excel
Agile Methodologies
Amazon Web Services (AWS)
Azure
Data Presentation
Django
Python
Machine Learning
NumPy
Power BI
Azure
Software Engineering
SQL Databases
Tableau
Data Processing
Test Driven Development
Feature Engineering
React
Large Language Models
Prompt Engineering
Deep Learning
Model Validation
Generative AI
GIT
Pandas
Scikit Learn
Kubernetes
Feature Selection
Machine Learning Operations
Front End Software Development
Docker
Databricks
Requirements
- Strong problem solving skills.
- Experience using Python (pandas, numpy, scikit-learn).
- Solid understanding of the mathematical, probability and statistical principles behind Machine Learning models.
- Experience using and deploying common machine learning algorithms (Supervised and unsupervised).
- Good communication skills and data presentation skills, with the ability to build convincing recommendations and sell these to a non-technical audience.
- End-to-end experience on at least one data science project: data wrangling, feature engineering, feature selection, model training, model validation.
- Self-driven, able to work independently yet acts as a team player.
- Able to apply data science principles through a business lens.
Desirable
- Experience using R.
- Familiar with, preferably experienced in, Deep Learning (e.g. RNNs, CNNs) or NLP techniques (e.g. TF-IDF, word-embedding).
- Understanding of Large Language Models, Generative AI frameworks, prompt engineering, fine tuning, resource augmentation.
- Familiarity with / experienced in software engineering best practices. E.g. test-driven development, smart data structure and algorithm selection.
- Experience in using cloud environment (e.g. Azure, AWS or equivalent).
- Experience using Azure Databricks, Azure MLflow, Azure ML services and/or other ML services.
- Experience working in a Dev/MLOps environment.
- Experience using Git, Excel, SQL, PowerBI, Tableau.
- Experience using Docker and Kubernetes.
- Experience working in an Agile development team.
- Front End development experience (e.g. React, Django).
- Experience of delivery data science and machine learning projects for financial industry or large/complex organisations.
About the company
Deloitte drives progress. Our firms around the world help our clients become market leaders wherever they compete. Deloitte invests in outstanding people with diverse talents and backgrounds, empowering them to achieve more than they can elsewhere. Our work combines consulting with action and integrity. We believe that when our clients and society are stronger, so are we.