At a Glance
- Tasks: Join our team to analyse data and create innovative AI solutions for tax and legal challenges.
- Company: Deloitte's Tax Digital Innovation team, a leader in strategic growth and innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional development.
- Other info: Dynamic work environment with excellent career advancement opportunities.
- Why this job: Make a real impact by leveraging cutting-edge technology to drive efficiency and insights.
- Qualifications: Experience in data science, machine learning, and strong communication skills are essential.
The predicted salary is between 60000 - 80000 £ per year.
Deloitte's Tax Digital Innovation team is a key strategic function within the tax and legal business and includes several future‑looking capabilities that help drive exciting and innovative growth opportunities. In the role of Data Scientist within our expanding AI & Data Studio you will work on new and existing projects, delivering insights to clients and utilising data to make smarter, better decisions.
- Proactively source external structured and unstructured data sets to enhance services and insights
- Process, cleanse, and verify the integrity of data used for analysis
- Perform ad‑hoc analysis and present results from a business‑centric perspective
- Build innovative models to classify and predict tax and legal data leveraging state‑of‑the‑art machine learning and deep learning techniques
- Design, build and test data pipelines for machine learning that are reliable, scalable, and easily deployable
- Take ownership of models, from initial build through to model maintenance, avoiding performance drift over time
- Track model performance constantly
- Clearly articulate the value and benefits of delivering analytics projects to clients
- Work closely with Tax and Legal SMEs to build deep understanding of business/client challenges and develop proofs of concept
- Share, communicate and develop bespoke AI solutions
- Drive automation and optimisation of business workflows to help clients increase efficiency
Essential Qualifications
- Strong understanding of statistical modelling, supervised/unsupervised machine learning algorithms
- Ability to explain model operations to non‑technical audiences and advocate for interpretability and audit best practices
- Experience working with structured and unstructured datasets
- Proficient in Python, using key data science libraries (NumPy, Pandas, scikit‑learn) and object‑oriented programming principles to develop efficient, scalable solutions
- Hands‑on experience experimenting with Generative AI (e.g. LangChain, Hugging Face, LlamaIndex)
- Experience working with Azure data & AI services such as Azure Machine Learning and Azure Foundry
- Practical experience working in Agile environments and contributing to sprints, stand‑ups and backlog refinement
- Experience writing clean, well‑structured documentation for models and analytical workflows
- Familiarity with version control (Git) and collaborative coding practices
- Strong communication and teamwork skills
- Evidence of translating R&D theoretical concepts into business scenarios
Desirable Qualifications
- Microsoft Azure Data Scientist Associate (DP‑100) certification or equivalent
- Strong understanding of MLOps/DevOps concepts including model versioning, CI/CD, automated retraining, lineage and governance
- Experience with model risk management, Responsible AI and compliance controls in regulated industries
- Knowledge of model evaluation, testing and reliability checks
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch
- Experience with data visualisation tools such as PowerBI and Tableau
- Experience deploying models into production using Azure services
- Exposure to data engineering fundamentals (e.g., data pipelines, delta lake)
- Knowledge of experience‑tracking tools (MLflow, Azure ML tracking)
Data Scientist, Tax Digital Innovation Leader employer: Hm Revenue & Customs (Hmrc)
Deloitte's Tax Digital Innovation team offers a dynamic and inclusive work environment where creativity and innovation thrive. As a Data Scientist, you will have access to cutting-edge technology and resources, alongside opportunities for professional growth and development within a collaborative culture that values diverse perspectives. Located in a vibrant city, Deloitte provides a unique chance to engage with industry leaders while contributing to impactful projects that shape the future of tax and legal services.
Contact Details:
Hm Revenue & Customs (Hmrc) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist, Tax Digital Innovation Leader
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Deloitte. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Create a portfolio showcasing your data science projects. Whether it's a GitHub repo or a personal website, let your work speak for itself. Potential employers love to see what you can do with Python and machine learning!
✨Ace the Interview
Prepare for technical interviews by practicing common data science problems and explaining your thought process. Remember, they want to see how you approach challenges, so don’t just focus on getting the right answer!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Data Scientist, Tax Digital Innovation Leader
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with machine learning, data pipelines, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about tax digital innovation and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on any cool data science projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to see how you've applied your skills in real-world scenarios.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Hm Revenue & Customs (Hmrc)
✨Know Your Data Science Stuff
Make sure you brush up on your statistical modelling and machine learning algorithms. Be ready to discuss how you've used Python and libraries like NumPy and Pandas in past projects. They’ll want to see that you can not only build models but also explain them clearly to non-technical folks.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled real-world business challenges using data. Think about specific projects where you sourced external data, processed it, and delivered actionable insights. This will demonstrate your ability to translate complex data into valuable solutions for clients.
✨Get Familiar with Azure
Since the role involves working with Azure services, make sure you know your way around Azure Machine Learning and Azure Foundry. If you’ve deployed models or built data pipelines in Azure before, be ready to share those experiences. It’ll show you’re not just a theorist but someone who can get things done.
✨Communicate Like a Pro
Strong communication skills are key, especially when discussing technical concepts with non-technical stakeholders. Practice explaining your past projects and the impact they had on the business. Being able to articulate the value of your work will set you apart from other candidates.
