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- Tasks: Lead data projects, analyse financial data, and deliver insights to clients.
- Company: Top-tier management consultancy expanding in the North East.
- Benefits: Salary up to £100k, hybrid working, training, and health support.
- Other info: Join a diverse team with excellent career growth opportunities.
- Why this job: Make a real impact in finance while developing your data science skills.
- Qualifications: Degree in relevant field and experience with R, Python, SQL, or similar.
The predicted salary is between 90000 - 100000 £ per year.
Do you have data science and data analytics experience combined with excellent communication and client facing skills? You could be progressing your career at a top tier management consultancy who are expanding their presence in the North East.
As a Data Scientist / Consultant you'll focus on one project at a time, liaising closely with clients (mainly within finance / banking / wealth management). You'll manage data projects end-to-end, gathering client requirements, managing data collection, model creation and analysis; you will conduct primary and secondary research, tackling information limitations, producing insights and overseeing the work of data analysts to ensure complete project deliverables to a high standard.
Location / WFH: You'll join the team in Central Newcastle three days a week in a hybrid work from home model, please note you will also visit client sites occasionally (all travel and expenses fully paid).
About you:
- You are degree educated, having achieved a 2.1 or above in a relevant discipline, e.g. Data Science, Mathematics, Statistics, Physics, Computer Science, Informatics or Engineering.
- You have strong experience with analytics and data manipulation software e.g. R, Python, PySpark, SAS, SQL, SPSS.
- You have a strong understanding of financial markets and instruments.
- You take a consultative approach and have polished communication and stakeholder management skills.
- You're able to work independently and take ownership of projects end-to-end.
- You have experience of working in specialised consulting firms, top tier banking or financial institutions.
What's in it for you:
- As a Senior Data Scientist you will receive a competitive package: Salary to £100k.
- Hybrid working (x3 days in Newcastle).
- Excellent training and career progression opportunities.
- Diverse and inclusive environment.
- Health and wellbeing support.
- Volunteering opportunities.
- Pension.
Apply now to find out more about this Senior Data Scientist opportunity.
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Senior Data Scientist - Finance employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Finance
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and data science sectors. Attend industry events or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews by practising common questions related to data science and finance. We recommend doing mock interviews with friends or using online platforms. The more comfortable you are, the better you’ll perform when it counts!
✨Tip Number 3
Showcase your skills through projects! Create a portfolio of your work using R, Python, or any other relevant tools. We love seeing real examples of what you can do, so make sure to highlight your best projects when chatting with potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for talented individuals like you to join our team. So, what are you waiting for? Get applying!
We think you need these skills to ace Senior Data Scientist - Finance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with R, Python, and SQL, and don’t forget to showcase your understanding of financial markets. 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 the perfect fit for this role. Talk about your client-facing experience and how you’ve managed data projects end-to-end. We love a good story that shows off your skills!
Showcase Your Communication Skills: Since this role involves liaising with clients, make sure to demonstrate your communication skills in your application. Whether it’s through your CV or cover letter, let us know how you’ve effectively communicated complex data insights to non-technical stakeholders.
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 on your way to joining our team!
How to prepare for a job interview at Client Server
✨Know Your Data Tools Inside Out
Make sure you’re well-versed in R, Python, SAS, SQL, and SPSS. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them. This will show your technical prowess and problem-solving skills.
✨Understand the Financial Landscape
Brush up on your knowledge of financial markets and instruments. Being able to speak confidently about current trends or recent developments in finance will impress your interviewers and demonstrate your genuine interest in the sector.
✨Showcase Your Communication Skills
Since this role involves liaising with clients, practice articulating complex data insights in a clear and concise manner. Prepare examples of how you've successfully communicated findings to non-technical stakeholders in the past.
✨Prepare for Scenario-Based Questions
Expect questions that assess your consultative approach and project management skills. Think of scenarios where you’ve managed data projects end-to-end, gathered client requirements, or tackled information limitations, and be ready to share those experiences.