Data Scientist

Company: ENGINEERINGUK
Apply for the Data Scientist
Location: London
Job Description:

Join Our Innovative Team as a Data Scientist at Schroders Capital!

Are you passionate about leveraging data science and AI to drive transformative solutions in the financial sector? Do you want to be part of a team that redefines investment processes? If so, we want to hear from you!

About Us:

Schroders Capital is the private markets division of Schroders, a global leader in asset management with $97 billion in assets under management. Our team of over 700 professionals across 25 locations combines expertise in private equity, private debt, real estate, and infrastructure, delivering tailored investment solutions backed by a culture that values sustainability and innovation.

The Role:

We are seeking a Data Scientist to join our dynamic Private Assets Data Insights (PADI) team. This is an exciting opportunity to work at the forefront of investment decision-making, applying cutting-edge data science techniques to optimise our processes and enhance our proprietary platforms, including the revolutionary GAiiA – our Generative AI Investment Analyst.

What You’ll Do:

  1. Innovate: Be a pioneer of data science within Schroders Capital, exploring AI-driven solutions to enhance investment strategies.
  2. Collaborate: Work closely with data science, IT, and investment management teams to implement data solutions that influence critical investment decisions.
  3. Engineer: Participate in building and maintaining data pipelines while contributing to various data science projects.
  4. Evolve: Stay ahead of industry trends, harnessing new technologies to drive innovation and improve results.

What You’ll Bring:

  1. A degree in a relevant field or 2+ years of experience in a data-focused role.
  2. Proficiency in Python and SQL, with a solid understanding of REST APIs (FastAPI experience is a bonus).
  3. Familiarity with natural language processing (NLP) concepts and exposure to large language models (e.g., GPT-4).
  4. A strong analytical mindset and the ability to communicate complex ideas clearly.
  5. Experience in Agile methodologies and a familiarity with cloud platforms (AWS is preferred).

Why Schroders?

Culture of Inclusion: We celebrate diversity of thought and background, ensuring that every voice is heard and valued.

Innovative Environment: Work in our new HQ in the heart of London’s financial centre, equipped for flexible working.

Career Development: Engage in a role that promotes continuous learning and professional growth in the ever-evolving field of data science.

At Schroders, we recognise potential, whoever you are. We are committed to building an inclusive environment, making us an equal opportunities employer.

Ready to make your mark? If you’re eager to push the boundaries of data science in finance, apply today to join our talented team at Schroders Capital!

#J-18808-Ljbffr…

Posted: January 14th, 2025