At a Glance
- Tasks: Join a dynamic team to drive innovative data science projects and AI solutions.
- Company: Deloitte, a leader in tax and legal digital innovation.
- Benefits: Flexible working, career development, and a supportive culture.
- Why this job: Make a real impact with cutting-edge technology in a collaborative environment.
- Qualifications: Experience in data science, machine learning, and strong communication skills.
- Other info: Exciting opportunities for growth and involvement in high-profile projects.
The predicted salary is between 36000 - 60000 £ 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 combined, are helping to drive exciting and innovative growth opportunities. You'll work as part of a multi-disciplinary team of industry, tax and legal SMEs, technology, and data specialists to provide specialist data science expertise and support on a diverse range of projects with both an internal and client focus.
Your role will be as a Data Scientist within our expanding AI & Data Studio. The role involves working on new and existing projects and products, delivering insights to clients, and utilising data to make smarter, better decisions. You will be responsible for applying data mining techniques, undertaking statistical analysis, deploying cutting edge machine learning tools and techniques, and drawing insights and building predictive models on both structured and unstructured data. This role will involve working on the delivery of key data science driven services and transformation projects.
This role would suit someone who has a passion for keeping up to date with the latest AI research and going from theory to production. You will thrive in a creative and collaborative environment, getting to create novel AI solutions to complex business problems.
Our Tax and Legal Digital Innovation team is expanding its Data and Artificial Intelligence capabilities. The Data and AI studio supports the Tax and Legal business in researching, building, and delivering analytics and AI-driven solutions to our clients. The team has grown rapidly over the last three years in both size and breadth of services. We need high calibre and motivated individuals to continue that growth and explore market differentiating opportunities across the entire Tax and Legal business.
Proactively sourcing external structured and unstructured data sets to enhance services and insights.
- Processing, cleansing, and verifying the integrity of data used for analysis.
- Performing ad-hoc analysis and presenting results from a business-centric perspective.
- Building 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.
- Perform constant tracking of performances.
- Clearly and confidently articulate the value and benefits of delivering analytics projects to clients.
- Working closely with Tax and Legal SMEs to build a deep understanding of business/client challenges and in the development of Proof of Concepts.
- Share, communicate and develop bespoke AI solutions.
- Drive automation and optimisation of business workflows, helping clients to drive efficiency.
Connect to your skills and professional experience:
- Strong understanding of statistical modelling, supervised/unsupervised machine learning algorithms.
- Can explain how the models work to non-technical audiences, advocating for interpretability and audit best practices.
- Experience working with structured and unstructured datasets.
- Proficient in Python, leveraging key data science libraries (NumPy, Pandas, scikit-learn) and applying 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, Foundry etc.
- 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.
- Familiar with version control (Git) and collaborative coding practices.
- Strong communication and teamwork skills.
- Evidence of taking R&D theoretical concepts and applying them to business scenarios as needed.
- Experience with/in 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.
- Knowledge of experience tracking tools (MLFlow, Azure ML tracking).
Innovation and tax consultancy may not seem to go together, but that's exactly what you'll find at Deloitte. We're constantly seeking the new and working together to push the limits of what's possible. Discover a new kind of tax career that you can make your own.
Our comprehensive range of services encompasses everything from the completion of tax returns (corporation tax self-assessment) to complex consultancy assignments and strategic tax planning. We advise on corporate and general tax, international M&A, stamp tax, cross-border transfer pricing, reorganisations and reconstructions, and competent authority negotiations.
Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to a number of audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints (e.g., in relation to any financial interests and employment relationships).
You'll be based in London with hybrid working. At Deloitte we understand the importance of balancing your career alongside your home life. That’s why we’ll support you to work flexibly through our hybrid working policy. Depending on the requirements of your role, you’ll have the opportunity to work in your local office, virtual collaboration spaces, client sites and remotely.
Are you looking to return to the workplace after an extended career break? For this role we can offer coaching and support designed for returners to refresh your knowledge and skills, and help your transition back into the workplace after a career break of two years or more.
Making an impact is more than just what we do: it’s why we’re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you’ll experience a purpose you can believe in and an impact you can see.
Data Scientist, Manager, Digital Innovation in London employer: Deloitte LLP
Contact Detail:
Deloitte LLP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Manager, Digital Innovation in London
✨Tip Number 1
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. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. Whether it's predictive models or machine learning applications, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by practising common data science questions. Brush up on your statistical knowledge and be ready to explain your thought process. Remember, they want to see how you approach problems, not just the answers!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the team at Deloitte. Don’t miss out on this opportunity!
We think you need these skills to ace Data Scientist, Manager, Digital Innovation in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight relevant experience, especially in data mining and machine learning. 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! Share your passion for AI and data science, and explain why you're excited about joining our Digital Innovation team. Let us know how you can contribute to our projects.
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 a previous job, we love seeing practical applications of your skills.
Apply Through Our Website: Don't forget to apply through our website! It's the best way to ensure your application gets to the right people. Plus, it shows you're serious about joining our team at Deloitte.
How to prepare for a job interview at Deloitte LLP
✨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 applied these in real-world scenarios, especially with structured and unstructured datasets. Deloitte will want to see that you can not only talk the talk but also walk the walk!
✨Showcase Your Communication Skills
Since you'll be working closely with non-technical audiences, practice explaining complex concepts in simple terms. Prepare examples of how you've successfully communicated data insights to clients or team members in the past. This will demonstrate your ability to bridge the gap between technical and business perspectives.
✨Familiarise Yourself with Their Tools
Deloitte uses a range of tools like Python, Azure services, and data visualisation platforms. If you have experience with these, highlight it! If not, take some time to learn the basics. Showing that you're proactive about understanding their tech stack can set you apart from other candidates.
✨Emphasise Collaboration and Flexibility
Deloitte values teamwork and flexible working arrangements. Be prepared to discuss how you've worked in collaborative environments and adapted to changing project needs. Share specific examples that showcase your ability to thrive in a dynamic setting, as this aligns with their culture.