At a Glance
- Tasks: Use data to solve real-world problems and drive meaningful change for clients.
- Company: Join a dynamic consulting firm focused on financial services and data transformation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with diverse projects and excellent career advancement potential.
- Why this job: Make an impact by bridging business and technology in exciting client projects.
- Qualifications: Experience in financial services consultancy and strong stakeholder engagement skills.
The predicted salary is between 40000 - 50000 £ per year.
Description
Data Consultant – Financial Services | Consulting | Consultants with frequent time in the office alongside on-site client-site delivery. | £55k – £85k DOE
Do you use data to challenge thinking, shape solutions, and deliver real outcomes for clients?
We’re hiring multiple Data Consultants across a range of experience levels.
Whether you’re already delivering confidently on client engagements or stepping into a more senior role, we’re interested in people who combine financial services knowledge, solid stakeholder skills, and a practical approach to data.
This role is about more than analysis.
It’s about working at the intersection of business and technology, helping clients define problems, shape solutions, and deliver meaningful change across transformation, regulatory, and data-led initiatives.
At Projective Group, we partner with financial services organisations to solve complex challenges across data, transformation, risk, and payments.
As we continue to grow our Data practice, we’re looking for consultants who can span the spectrum from Data Management through using data as a tool to steer better decisions and outcomes.
Requirements
Is this you?
- Experience within a financial services consultancy, with a track record of delivering on client engagements.
- Comfortable operating between business and technology, engaging stakeholders while working closely with technical teams.
- Solid experience gathering and structuring requirements, with the flexibility to support both business analysis and project delivery.
- Understanding of domains such as banking, capital markets, or insurance, and how data supports decision-making.
- Practical experience with SQL, Python, or low-code tools, using them to support delivery rather than as a pure technical focus.
- Able to manage priorities, take ownership, and adapt across different clients and engagements.
- Naturally inquisitive, confident in asking questions and challenging thinking to add value.
- Degree educated or equivalent experience, with project management exposure or certifications as a plus.
Data Consultant in London employer: ProjectiveGroup
At Projective Group, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our Data Consultants enjoy competitive salaries, opportunities for professional growth, and the chance to make a tangible impact in the financial services sector. With a focus on employee development and a supportive environment, we empower our team to challenge conventional thinking and drive meaningful change for our clients.
StudySmarter Expert Advice🤫
We think this is how you could land Data Consultant in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ProjectiveGroup!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Consultant at ProjectiveGroup.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like ProjectiveGroup.
✨Apply Directly through Our Website
When you find a suitable opening like Data Consultant at ProjectiveGroup, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Consultant 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at ProjectiveGroup, 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 ProjectiveGroup. 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 ProjectiveGroup
✨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!
✨Showcase Your Projects
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 ProjectiveGroup!
✨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.
