What impact will you make?

Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you’ll find unrivaled opportunities to succeed and realize your full potential.

We are renowned for our innovative and collaborative culture, commitment to delivering outstanding quality service to clients and enabling our people to excel in everything they do. Our DTA practice is fully integrated into the “One Deloitte” agenda, and you will often find yourself working on large and exciting projects.

Benefiting from high levels of exposure and learning from some of the top practitioners in the Analytics field, you will expand your skills into the full analytics services.

The Team

Our Data Technology and Analytics group uses innovative tools to analyze vast amounts of data in order to proactively or reactively identify opportunities for revenue enhancement, cost optimization, risk mitigation and strategic advice for our clients. The group specializes in electronic data sourcing, optimization, analysis, interpretation, prediction and modelling.

We work as an extension of our Deloitte member firms’ analytics practices and provide dedicated support throughout the project lifecycle. Working on international assignments involving cross-border and cross-service line teams allows you to build your networks across the vast Global Deloitte network.

We also have an active international secondment program for our staff after they gain relevant experience, we believe this plays a crucial role in the overall career and personal development of our staff.

Work you’ll do

As an Executive Data Scientist with around 1 year of experience, you will:

· Assist in designing, developing, and testing machine learning models

· Support data preparation, feature engineering, and exploratory analysis

· Build predictive models using Python and relevant frameworks

· Develop visualizations and dashboards to communicate insights

· Document model assumptions, methodology, and outputs

· Participate in code reviews, model validation, and experimentation

Qualifications

· Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or STEM field

· 1–2 years of experience in data science or related analytics roles

· Academic or project experience in machine learning, modelling, or applied statistics

Skills Required

Must have:

· Proficiency in Python for modelling (NumPy, pandas, scikit-learn)

· Basic understanding of ML workflows - supervised & unsupervised learning

· Familiarity with statistical concepts and model evaluation

· Experience with SQL for data extraction

· Exposure to data visualization tools (Power BI, Tableau, or Python libraries)

· Understanding of cloud platforms such as Azure or AWS

· Exposure to NLP, LLMs, or Generative AI basics

· Familiarity with Git and version control

Good to have:

· Understanding of MLFlow or MLOps concepts

· Experience with Jupyter, VS Code, or Databricks

· Experience with OpenAI based frameworks

· Experience with building chatbots

· Good understanding of the ETL framework and ability to build efficient ETL dataflows using ADF, MS SSIS, or Python

· Dataiku / DataRobot / AWS Sagemaker

This role will also leverage additional skills such as:

· Ability to create advanced analytical models that are fit for purpose and scalable, to identify insightful trends and patterns from the data

· Understanding existing and upcoming AI frameworks and realising them to appropriate assets/solutions

· Experience in structuring, presenting, and communicating your work results

· Proficiency in English and overall communication

· Strong appetite for innovation and emerging technologies

· Provide guidance on best practices, project execution, and professional development.

· Demonstrate ability to think strategically about business, create technical solutions with end users in mind, motivate and mobilize resources, as well as deliver results

· Flexibility in terms of working hours and working on multiple tools and technologies

How you’ll grow

At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to help build world-class skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Centre.

Benefits

At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.

Our purpose

Deloitte is led by a purpose: To make an impact that matters.

Every day, Deloitte people are making a real impact in the places where they live and work. We pride ourselves on doing not only what is good for clients, but also what is good for our people and the communities in which we live and work—always striving to be an organization that is held up as a role model of quality, integrity, and positive change. Learn more about Deloitte's impact on the world.

Recruiter tips

We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you’re applying to. Check out recruiting tips from Deloitte professionals.