Job Description
Data Scientist/Analyst - London - Hybrid - £50,000-£60,000
SQL, Python, Machine Learning, Git, Excel, Pandas, NumPy, Seaborn, Matplotlib
Please make an application promptly if you are a good match for this role due to high levels of interest.
Please note: this role does not offer sponsorship, and you must have full right-to-work in the UK to apply (post-study work visa will not be considered).
I'm currently working with a massively successful and heavily in-demand financial SaaS company - leveraging behavioural science and advanced analytics to help transform the asset management industry through their smart decision-making platform.
They are on the lookout for a Data Scientist/Analyst with a financial services background ideally, as well as very strong Python (Pandas, NumPy etc.), Machine Learning, client-facing skills - does that sound like you?
The role involves hybrid working (every Monday and Tuesday in the office and three days from home).
Essentials:
- Excellent quantitative skills.
- 2+ years as a Data Scientist (or analyst using machine learning!)
- Highly proficient in Python, SQL, and Git.
- A genuine passion for investments and financial markets.
- Excellent communication ability, and experience interacting with stakeholders.
If you’re inquisitive, hands-on, and committed and this opportunity is of interest, please apply above or get in touch at tom.hannah@opusrs.com.
Data Scientist/Analyst - London - Hybrid - £50,000-£60,000
SQL, Python, Machine Learning, Git, Excel, Pandas, NumPy, Seaborn, Matplotlib