At a Glance
- Tasks: Lead transformative Data & AI programmes in the fast-paced financial sector.
- Company: Join a leading consulting firm driving innovation in Financial Services.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with exposure to cutting-edge technologies.
- Why this job: Be at the forefront of AI transformation and make a real impact.
- Qualifications: Experience in data, analytics, or AI with strong leadership skills.
The predicted salary is between 60000 - 80000 £ per year.
We're partnering with a leading consulting and technology organisation that's scaling its Data & AI practice fast inside Financial Services. This is the team brought in when the UK's biggest banking names need complex transformation done properly, across data, AI, governance, risk and enterprise change.
What you'll actually be doing:
- Leading large-scale Data & AI transformation programmes from the front.
- Driving delivery across business, technology and operational teams.
- Steering tricky stakeholder environments right up to senior client leadership.
- Tackling regulatory remediation and data-driven change where the stakes are real, and turning technical capability into outcomes the board can measure.
In short: modernising the data platforms, governance and AI capabilities that keep these institutions competitive.
The environment you'll be working in:
- Azure
- AWS
- GCP
- Databricks
- Snowflake
- Power BI
- Python
- SQL
- Agile
- Jira
- Confluence
- SAFe
You'll thrive here if you have:
- A track record leading enterprise-scale data, analytics or AI programmes
- Serious programme leadership and stakeholder management chops
- A Banking / regulated Financial Services background (strongly preferred)
- Real exposure to modern data platforms, cloud and AI initiatives
- Consulting instincts and the calm to operate in complex client environments
This is a front-row seat in a high-growth practice working at the sharp end of Data & AI transformation in Financial Services.
If you'd be open to a confidential chat about the market, even just to compare notes, I'd be glad to connect.
Data & AI Delivery Consultant FS in London employer: Datatech Analytics
As a leading consulting and technology organisation, we offer an exceptional work environment for Data & AI Delivery Consultants, with opportunities to lead transformative projects in the dynamic Financial Services sector. Our hybrid work culture promotes flexibility and collaboration, while our commitment to employee growth ensures that you will have access to continuous learning and development. Join us in London, Manchester, or Scotland, where you can make a tangible impact on the future of banking through innovative data and AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Delivery Consultant FS in London
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We think you need these skills to ace Data & AI Delivery Consultant FS in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Datatech Analytics, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Datatech Analytics. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Datatech Analytics
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Datatech Analytics!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
