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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 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 in North East employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Finance in North East
✨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 introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your best projects, especially those involving R, Python, or SQL. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. Think about how you can demonstrate your consultative approach and communication skills, as these are key for client-facing roles.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people. Don’t miss out!
We think you need these skills to ace Senior Data Scientist - Finance in North East
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 successfully managed data projects in the past. We love a good story!
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 writing style or examples of past interactions, we want to see that you can engage effectively with stakeholders.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Client Server
✨Know Your Data Tools
Make sure you brush up on your skills with 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.
✨Understand the Financial Landscape
Since this role is focused on finance, it’s crucial to have a solid grasp of financial markets and instruments. Prepare to talk about recent trends or news in the finance sector that could impact data analysis.
✨Showcase Your Communication Skills
As a consultant, you'll need to liaise with clients regularly. Practice explaining complex data concepts in simple terms. Think of examples where you've successfully communicated insights to non-technical stakeholders.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities. Prepare for scenarios where you might need to gather client requirements or manage a data project from start to finish. Think through your approach and be ready to share your thought process.