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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, and excellent training opportunities.
- Other info: Diverse and inclusive workplace with strong career progression.
- Why this job: Make a real impact in finance while developing your data science skills.
- Qualifications: Degree in Data Science or related field; experience with R, Python, SQL.
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 in Newcastle upon Tyne 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 Newcastle upon Tyne
✨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
Prepare for those interviews! Research the company and its projects, especially in finance. Brush up on your technical skills in R, Python, and SQL, and be ready to discuss how you’ve tackled data challenges in the past.
✨Tip Number 3
Show off your portfolio! If you’ve worked on relevant projects, create a portfolio that highlights your best work. This is your chance to demonstrate your skills in data manipulation and analytics, so make it shine!
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals like you. Don’t just wait for job alerts; take the initiative and submit your application directly to us for the best chance at landing that Senior Data Scientist role.
We think you need these skills to ace Senior Data Scientist - Finance in Newcastle upon Tyne
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 showcase any relevant projects you've worked on in finance or analytics.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of your client-facing skills and how you've successfully managed data projects from start to finish.
Showcase Your Communication Skills: Since this role involves liaising with clients, it's crucial to demonstrate your communication skills. Use clear and concise language in your application, and consider including examples of how you've effectively communicated complex data insights.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. This way, we can easily track your application and get back to you quicker!
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 Financial Markets
Since this role is focused on finance, it’s crucial to have a solid understanding 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 scenario-based questions that assess your problem-solving abilities. Think about how you would manage a data project from start to finish, including gathering requirements and delivering insights. Be ready to share your thought process.