Data Scientist

Schroders; London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading investment management firm in London is looking for a Data Scientist to join their Data Insights team. The role focuses on optimizing investment decisions and processes through data science and analytics. Ideal candidates will have a strong background in geospatial data science, coupled with experience in Python and excellent analytical skills. The position offers the chance to work collaboratively across various investment verticals and innovate within the firm.

Qualifications

• 4+ years of experience in a relevant role.
• Strong interest in and knowledge of computer and data science.
• Ability to communicate complex ideas to senior stakeholders.

Responsibilities

• Work closely with investment teams to optimise decision-making.
• Identify and lead data science projects.
• Manage stakeholders to align analyses with investment priorities.
• Develop impactful presentations of analyses and findings.
• Apply data science techniques to support investment strategies.
• Collaborate to build and maintain robust data pipelines.

Skills

Geospatial data science

Data science techniques

Analytical skills

Stakeholder communication

Agile methodologies

Python

R

SQL

Linux

Cloud computing (AWS)

Education

Degree in computer science, physics, engineering, mathematics, statistics, or related field

Job description

Overview

DATA SCIENTIST

Who we are looking for

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.

The base

We moved into our new HQ in the City of London in 2018. 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 2014, 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.

Responsibilities

• 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.

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.