Data Scientist

About Deloitte

Deloitte provides support through the tax transformation taking place in the marketplace. Building on more than 175 years of service, our network of member firms spans more than 150 countries and territories. Together, Deloitte’s more than 415,000 people worldwide make an impact that matters.

Your role

As a Data Scientist, you will be supporting the Data Science group and actively participating in the entire lifecycle of a data science project, including exploratory data analysis, feature engineering, model creation, and model optimization to boost performance and accuracy. It is important that the person in this role is proactive and independent. You should be a problem solver with an open mind and an eagerness to pick up new skills.

Specifically, you will be expected to:

• Develop, test, and deploy machine learning/AI models
• Collaborate daily with Data Science Managers and Senior Data Scientists to receive guidance and feedback on your work to develop your skills and ensure alignment with workstream objectives
• Be a contributor to the planning and direction of a project and effectively prioritize your tasks and objectives
• Contribute to internal discussions on emerging machine-learning methodologies.

Training & development

From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities, and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their careers.

Benefits

Some of the benefits and programs provided by the company to support its employees and their family’s well-being needs are:

• Paid time off and holidays.
• The sabbatical program lets the professionals request leave and allows them to follow their passion in support of key community initiatives.
• Refresh and renew themselves to help increase their effectiveness, creativity, and productivity.
• Parental leave.
• Medical insurance.

Career progression

You want to make an impact. And they want you to make it. They can help you do that by providing you with the culture, training, resources, and opportunities to help you grow and succeed as a professional.

Culture & vibe

Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives and bring more creativity and innovation to help solve our client's most complex challenges. This makes Deloitte one of the most rewarding places to work

About You

Required:

• Undergraduate degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics)
• Experience using Python and relevant libraries (NumPy, Pandas, Scikit-learn, etc.)
• Coursework related to machine learning, deep learning, and programming
• At least an introductory understanding of LLMs and prompt engineering
• Hands-on application experience using common machine learning frameworks such as TensorFlow, PyTorch, OpenAI, and LangChain
• Demonstrated ability to write high-quality code
• Demonstrated ability to develop machine learning models
• Excellent verbal and written communication skills

Preferred:

• Master’s degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics)
• Relevant work experience (internships, school jobs, etc.)
• Familiarity with the Microsoft Azure cloud-based ecosystem, including Azure DevOps
• Familiarity with machine learning model development life cycles
• Experience with version control practices and tools (Git, etc.)
• Public AI-related projects you have developed are available on GitHub.

How to apply

To apply for this role, click the "Apply on employer site" button, which navigates to the career section where the application can be submitted directly.

The primary recruitment process for freshers includes:

• Written Test
• Versant Test
• Group Discussion /JAM Test
• Interview Process
  • Technical Interview
  • HR Interview