At a Glance
- Tasks: Drive innovative data solutions and deliver insights using cutting-edge AI techniques.
- Company: Join Deloitte's dynamic Tax Digital Innovation team, a leader in tech-driven growth.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional development.
- Other info: Collaborative environment with excellent career advancement potential.
- Why this job: Make a real impact by transforming data into actionable insights for clients.
- Qualifications: Strong skills in machine learning, Python, and data analysis required.
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, Manager, Digital Innovation employer: Hm Revenue & Customs (Hmrc)
Deloitte's Tax Digital Innovation team offers a dynamic and collaborative 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 supportive culture that values diversity and inclusion. 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, Manager, Digital Innovation
✨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
When you get the chance to chat with potential employers, don’t hold back! Share your projects, especially those involving Python and machine learning. Show them how you can turn data into insights that drive decisions.
✨Tailor Your Approach
Every interaction is a chance to showcase your fit for the role. Research Deloitte’s Tax Digital Innovation team and align your discussions around their goals. Make it clear how your skills can help them innovate and grow.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team and contributing to exciting projects.
We think you need these skills to ace Data Scientist, Manager, Digital Innovation
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 digital innovation in tax and how your background makes you a great 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 work, we want to see how you've applied your skills in real-world scenarios. Include links if possible!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Hm Revenue & Customs (Hmrc)
✨Know Your Data Inside Out
Make sure you’re well-versed in the data science concepts relevant to the role. Brush up on statistical modelling, machine learning algorithms, and how to handle both structured and unstructured datasets. Being able to discuss your experience with Python libraries like NumPy and Pandas will definitely impress.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific projects where you've used data to solve real business problems. Think about how you can articulate the value of your analytics work to non-technical audiences. This is key, as you'll need to explain complex models in a way that resonates with clients.
✨Demonstrate Your Agile Experience
Since the role involves working in Agile environments, be ready to share examples of how you've contributed to sprints or stand-ups. Highlight your teamwork skills and how you’ve collaborated with others to refine backlogs or develop proofs of concept.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions, especially around MLOps and model performance tracking. Familiarise yourself with Azure services and be prepared to discuss how you would manage model versioning and compliance controls. Showing that you understand these concepts will set you apart.
