Ein Unternehmen der Tenth Revolution Group

Referenz: a0MaA000000QQoT.1_1731522581

Data Science - London - GBP80,000 + Benefits

England

  • £75,000 to £80,000 GBP
  • Developer/Programmer Stelle
  • Fähigkeiten: Data Science, Data Scientist, LLM, CI/CD, NLP, Innovative Solutions, Data-Driven, Machine Learning, Big Data, Predictive Analytics, AI Integration, Collaborative Environment, Impactful Insights, Scalable Solutions, Continuous Learning, Investment
  • Level: Mid-level

Jobbeschreibung

Data Science - London - GBP80,000 + Benefits

a0MaA000000QQoT.1_1731522581

Data Science - London - £80,000 + Benefits



Thrive in an exciting and rewarding environment with a competitive salary, generous bonus of 12.5% (which 90% of employees hit), and a supportive work culture. Join a growing Data Science team that values innovation, collaboration and personal growth for an investment management giant!

My client are a transnational investment management company who currently manage close to 20 billion in investments and are constantly growing. Within the company you have the opportunity to work with some fascinating data opportunities that tie into their investments.



In your role you will split your time between research and analysis. The deal team will require analysis on potential investment opportunities which you will then provide through a deep and diligent search. The need for analysis is increasing rapidly, you will never be bored!



Requirments:

* NLP
* Python
* Some LLM
* Some CI/CD
* Good Communication
* Commitment to 4 days in London office

Desirable:

* Investment / Financial Services Experience





Interviews commence shortly with limited availability, don't miss out on your opportunity to secure this amazing role. Get in touch ASAP by contacting me at j.shaw-bollands@nigelfrank.com or on 0191 338 6641!







Data Science, Data Scientist, LLM, CI/CD, NLP, Innovative Solutions, Data-Driven, Machine Learning, Big Data, Predictive Analytics, AI Integration, Collaborative Environment, Impactful Insights, Scalable Solutions, Continuous Learning, Investment