At a Glance
- Tasks: Join our team to optimise investment decisions using data science and AI in real estate.
- Company: Schroders, a leading global investment manager with a focus on sustainability.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Inclusive culture that values diversity and encourages fresh perspectives.
- Why this job: Make a real impact in the world of finance through innovative data-driven solutions.
- Qualifications: Degree in a technical field and 4+ years of relevant experience required.
The predicted salary is between 36000 - 60000 £ per year.
A Data Scientist to join the Schroders Capital Private Assets Data Insights team.
Business Overview
Schroders is a leading provider of active asset management, advisory and wealth management services and is widely recognised as a leader in sustainability. Few investment managers can match the combination of capabilities and global reach that Schroders offers. This breadth of services across public and private markets allows for distinctive solutions for the diverse needs of clients, who look to Schroders to provide superior long-term investment outcomes. Schroders Capital is the private markets business of Schroders with $111bn of AUM. We work as a global network of specialised, entrepreneurial teams. We combine a global perspective with local market expertise to serve institutional and private wealth clients. Our offering spans the private markets universe and provides access to unique capabilities across private debt and credit alternatives, real estate equity, private equity, and infrastructure equity. The firm has deep expertise in creating bespoke solutions for clients and is committed to providing scalable capabilities across the spectrum of risk, return and sustainability and impact objectives. Supported by the resources, experience, and institutional framework of one of the world's leading asset managers, Schroders Capital is dedicated to helping investors achieve their goals and is at the forefront of product innovation to meet the evolving needs of investors.
The base
We moved into our new HQ in the City of London in ****. We are close to our clients, in the heart of the UK's financial centre. And we have everything we need to work flexibly.
The team
The Private Assets Data Insights (PADI) team is an innovation team embedded within investment management across Schroders Capital. Established in ****, the team employs data science, AI and advanced analytics to develop proprietary applications, applied research, and decision-support tools to optimise investment decision-making and streamline investment processes. The team supports the four verticals within our private markets business – real estate, private equity, infrastructure and private debt. We have an opening for an additional team member to work across all verticals with a particular focus on real estate, working closely with investment teams to identify, shape and execute on high value initiatives to push the boundaries of data driven investing.
What you will do:
- Work closely with real estate investment teams to optimise decision-making and improve investment processes through geospatial data science, advanced analytics, and AI, with scope to extend approaches to infrastructure and private credit where business value dictates.
- Identify, scope, and independently lead data science projects that generate measurable value for real estate, as well as other verticals as required.
- Manage your own stakeholders effectively, ensuring alignment of analyses and insights with investment priorities.
- Develop and deliver clear, impactful presentations of your analyses and findings to internal stakeholders and external clients.
- Apply data science techniques to portfolio optimisation and cash flow modelling, supporting investment strategies.
- Collaborate with data engineering and IT teams to build and maintain robust data pipelines and tools.
- Stay abreast of industry trends and emerging technologies, ensuring solutions are current and aligned with business objectives.
The knowledge, experience and qualifications you need:
- A degree in a relevant technical discipline such as computer science, physics, engineering, mathematics, statistics, or a related field, and 4+ years of experience in a relevant role.
- Demonstrable interest and experience in geospatial data science.
- Strong interest in and knowledge of computer and data science, with excellent analytical skills and the ability to exercise sound judgement.
- Ability to communicate complex ideas and problems in a clear and structured way to senior stakeholders and clients.
- Knowledge of econometrics and other forecasting methodologies is a plus.
- Proficient in Python; good working knowledge of R and SQL.
- Comfortable working in a Linux environment.
- Experience with Agile methodologies and tools, including DevOps, Git, and CI/CD practices.
- A drive to address complex technical and theoretical challenges.
- Experience with a cloud computing platform; AWS is a plus.
We recognise potential, whoever you are. Our purpose is to provide excellent investment performance to clients through active management. Diversity of thought, facilitated by an inclusive culture, will allow us to make better decisions and better achieve our purpose. This is why inclusion and diversity are a strategic priority for us and why we are an equal opportunities employer. You are welcome here, regardless of your age, disability, gender identity, religious beliefs, sexual orientation, socio-economic background, or any other protected characteristic.
About Us
We're a global investment manager. We help institutions, intermediaries and individuals around the world invest money to meet their goals, fulfil their ambitions, and prepare for the future. We have around 6,000 people on six continents. And we've been around for over 200 years, but keep adapting as society and technology changes. What doesn't change is our commitment to helping our clients, and society, prosper.
Data Scientist in England employer: Schroders UK
Schroders is an exceptional employer, offering a dynamic work environment in the heart of London's financial centre. With a strong commitment to diversity and inclusion, employees benefit from a culture that fosters innovation and collaboration, alongside opportunities for professional growth through engaging projects in data science and investment management. The firm's dedication to sustainability and client success, combined with its global reach and resources, makes it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in England
✨Tip Number 1
Network like a pro! Reach out to current employees at Schroders or in the data science field. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your data science projects, especially those involving geospatial data. When you get the chance, share your work during interviews to demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on Python, R, and SQL. Work through common data science problems and be prepared to explain your thought process clearly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at Schroders.
We think you need these skills to ace Data Scientist in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight relevant experience in data science, AI, and geospatial analytics. We want to see how your skills align with what we do at Schroders!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data-driven investing and how you can contribute to our Private Assets Data Insights team. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any interesting data science projects, make sure to mention them! We love seeing real-world applications of your skills, especially those that demonstrate your ability to generate measurable value.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Schroders UK
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in Python, R, and SQL. Be ready to discuss your experience with geospatial data science and how you've applied it in previous roles. They’ll want to see that you can not only talk the talk but also walk the walk!
✨Understand the Business
Familiarise yourself with Schroders Capital and their approach to private markets. Understand their investment strategies and how data science plays a role in optimising decision-making. This will show that you're genuinely interested in the company and its goals.
✨Prepare for Technical Questions
Expect some technical questions related to econometrics, forecasting methodologies, and cloud computing platforms like AWS. Practice explaining complex concepts in a simple way, as you'll need to communicate effectively with senior stakeholders.
✨Showcase Your Project Management Skills
Be ready to discuss how you've independently led data science projects in the past. Highlight your ability to manage stakeholders and align analyses with business priorities. This is crucial for demonstrating that you can drive value across different verticals.
