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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 progression 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 in Sunderland 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 Sunderland
✨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 a lead on that perfect Senior Data Scientist role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those relevant to finance. Use platforms like GitHub to share your code and analyses. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data concepts in simple terms. Remember, as a Senior Data Scientist, you'll need to liaise with clients, so being able to communicate effectively is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the right fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team at StudySmarter.
We think you need these skills to ace Senior Data Scientist - Finance in Sunderland
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 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!
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. Brush up on your coding skills and be ready to discuss specific projects where you've used these tools. Being able to demonstrate your technical expertise will show that you're the right fit for the role.
✨Understand Financial Markets
Since this role is focused on finance, take some time to refresh your knowledge of financial markets and instruments. Be prepared to discuss how your data science skills can provide insights into financial data and help clients make informed decisions.
✨Practice Your Communication Skills
As a consultant, you'll need to communicate complex data findings clearly to clients. Practice explaining your past projects in simple terms, focusing on how your work benefited the client. This will showcase your consultative approach and stakeholder management skills.
✨Prepare for Scenario-Based Questions
Expect questions that assess how you would handle real-world data challenges. Think about past experiences where you managed data projects end-to-end and be ready to share how you tackled issues like data limitations or client requirements. This will highlight your problem-solving abilities and project ownership.