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- Tasks: Join our PADI team to innovate and optimize investment processes using data science.
- Company: Schroders Capital is a global leader in asset management with a focus on sustainability and innovation.
- Benefits: Enjoy flexible working in a modern HQ and opportunities for continuous learning.
- Why this job: Be at the forefront of finance, leveraging AI to redefine investment strategies.
- Qualifications: Degree or 2+ years in data roles; skills in Python, SQL, and NLP are essential.
- Other info: We celebrate diversity and are committed to an inclusive work environment.
The predicted salary is between 43200 - 72000 £ per year.
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:
- Innovate : Be a pioneer of data science within Schroders Capital, exploring AI-driven solutions to enhance investment strategies.
- Collaborate : Work closely with data science, IT, and investment management teams to implement data solutions that influence critical investment decisions.
- Engineer : Participate in building and maintaining data pipelines while contributing to various data science projects.
- Evolve : Stay ahead of industry trends, harnessing new technologies to drive innovation and improve results.
What You’ll Bring:
- A degree in a relevant field or 2+ years of experience in a data-focused role.
- Proficiency in Python and SQL, with a solid understanding of REST APIs (FastAPI experience is a bonus).
- Familiarity with natural language processing (NLP) concepts and exposure to large language models (e.g., GPT-4).
- A strong analytical mindset and the ability to communicate complex ideas clearly.
- 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
Data Scientist employer: Schroders
Contact Detail:
Schroders Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the specific data science tools and technologies mentioned in the job description, such as Python, SQL, and REST APIs. Having hands-on experience or projects that showcase your skills in these areas will make you stand out.
✨Tip Number 2
Highlight any experience you have with natural language processing (NLP) and large language models like GPT-4. Being able to discuss how you've applied these concepts in previous roles can demonstrate your relevance to the position.
✨Tip Number 3
Showcase your understanding of Agile methodologies and cloud platforms, particularly AWS. If you have examples of how you've successfully worked in an Agile environment or utilized cloud services, be ready to share those experiences.
✨Tip Number 4
Research Schroders Capital's recent projects or innovations in data science and AI within the financial sector. Being able to reference specific initiatives during your conversations can demonstrate your genuine interest in the company and its mission.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Scientist position at Schroders Capital. Tailor your application to highlight how your skills and experiences align with their needs.
Highlight Relevant Skills: Emphasize your proficiency in Python, SQL, and any experience with REST APIs or natural language processing. Provide specific examples of projects where you've applied these skills, especially in a data-focused role.
Showcase Your Analytical Mindset: Demonstrate your analytical abilities by including examples of how you've solved complex problems or made data-driven decisions in previous roles. This will help convey your fit for the innovative environment at Schroders.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for leveraging data science in the financial sector. Mention your interest in working with AI-driven solutions and how you can contribute to their team.
How to prepare for a job interview at Schroders
✨Show Your Passion for Data Science
Make sure to express your enthusiasm for data science and AI during the interview. Share specific examples of how you've leveraged these technologies in past projects, especially in financial contexts.
✨Demonstrate Technical Proficiency
Be prepared to discuss your experience with Python, SQL, and REST APIs. You might be asked to solve a technical problem or explain your approach to building data pipelines, so brush up on your coding skills and relevant frameworks.
✨Highlight Collaboration Skills
Since the role involves working closely with various teams, emphasize your ability to collaborate effectively. Share examples of past teamwork experiences, particularly in data-focused projects, and how you contributed to achieving common goals.
✨Stay Updated on Industry Trends
Research the latest trends in data science and AI, especially those relevant to finance. Be ready to discuss how you can apply new technologies to enhance investment strategies and drive innovation within the company.
