At a Glance
- Tasks: Join our team to deliver advanced data analytics and AI solutions in financial services.
- Company: Leading Financial Service Organisation with a focus on innovation.
- Benefits: Competitive salary up to £62,000 plus bonus and career development opportunities.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Make an impact by transforming audit and assurance through cutting-edge data science.
- Qualifications: Experience in Python, machine learning, and strong analytical skills required.
The predicted salary is between 62000 - 62000 £ per year.
My client, a leading Financial Service Organisation is seeking a Data Science and Machine Learning professional to join their Audit and Assurance team on a permanent basis. You will be responsible to support clients focused on Model and Data Risk, as well as building and deploying AI products to support the transformation.
You will deliver advanced data analytics and data science solutions using tools such as Python, Azure, Databricks, SQL, Tableau, and Power BI, while developing innovative AI and machine learning capabilities to support evolving audit and assurance needs. The role will involve reviewing internal and third-party AI, data science, and cloud-based solutions, as well as supporting clients with large-scale data handling, modelling, and analytics.
You will also be responsible for communicating complex insights in a clear and impactful way to both technical and non-technical stakeholders, ensuring recommendations drive meaningful business outcomes.
What We’re Looking For
- Strong problem-solving and analytical skills.
- Hands-on experience with Python (pandas, numpy, scikit-learn).
- Strong understanding of machine learning, statistics, and probability.
- Experience deploying supervised and unsupervised ML models.
- End-to-end data science project delivery experience.
- Ability to apply data science through a commercial/business lens.
- Strong communication and stakeholder management skills.
- Self-driven team player with a collaborative mindset.
Data Scientist in Slough employer: Morson Edge (Financial Services)
As a leading Financial Services Organisation, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our Data Scientists enjoy competitive salaries, comprehensive benefits, and ample opportunities for professional growth, all while working in a vibrant environment that values diversity and inclusion. Join us to be part of a team that is at the forefront of AI and machine learning, making a real impact in the audit and assurance landscape.
Contact Details:
Morson Edge (Financial Services) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those using Python and machine learning. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms – it’s key for engaging with both technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles waiting for talented folks like you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Scientist in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, machine learning, and data analytics. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our Audit & Assurance team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've tackled complex problems using data science. We’re looking for those strong analytical skills, so share how you’ve used them in past projects to drive results.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and you’ll be all set!
How to prepare for a job interview at Morson Edge (Financial Services)
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills, especially with libraries like pandas, numpy, and scikit-learn. Be ready to discuss your hands-on experience with machine learning models and how you've deployed them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges. Think about the methodologies you used and the impact your solutions had on previous projects, especially in a financial context.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. You’ll need to demonstrate your ability to engage both technical and non-technical stakeholders, so think of ways to make your explanations relatable and impactful.
✨Understand the Business Side
Be ready to discuss how your data science work aligns with business goals. Show that you can apply your technical skills through a commercial lens, highlighting any past experiences where your insights drove meaningful outcomes.
