Graduate Data Scientist: Data, AI & Cloud Strategy (London)

Graduate Data Scientist: Data, AI & Cloud Strategy (London)

Full-Time 60750 - 74250 Β£ / year (est.) No working from home possible
G MASS Consulting

At a Glance

  • Tasks: Support data and technology advisory work in a dynamic financial services environment.
  • Company: Leading UK asset management firm with a focus on innovation.
  • Benefits: Competitive salary, professional development, and opportunities for growth.
  • Other info: Exciting role with exposure to senior audiences and strategic initiatives.
  • Why this job: Engage with stakeholders and make an impact in the world of data and AI.
  • Qualifications: Strong data, SQL, and cloud platform skills; excellent communication abilities.

The predicted salary is between 60750 - 74250 Β£ per year.

ace has partnered with a leading UK asset management firm to recruit a Graduate Data Scientist who will support data and technology advisory work.

You will engage with stakeholders, contribute to discovery sessions, current-state analysis, and architecture mapping in a regulated financial services environment.

The role requires strong data, SQL and cloud data platform skills, with the ability to communicate strategy to senior audiences.

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Graduate Data Scientist: Data, AI & Cloud Strategy (London) employer: G MASS Consulting

G MASS Consulting is an excellent employer that values autonomy and innovation, providing a dynamic work environment where you can significantly impact non-financial returns processes. With a strong focus on employee growth, we offer opportunities for professional development and a hybrid working model that promotes work-life balance. Join us in our London office to be part of a collaborative culture that prioritises excellence and continuous improvement.

G MASS Consulting

Contact Details:

G MASS Consulting Recruitment Team

We think you need these skills to ace Graduate Data Scientist: Data, AI & Cloud Strategy (London)

Communication Skills
Python
SQL
Problem-Solving Skills
Automation
Data Engineering
Attention to Detail