A data science engineer to join the Schroders Capital Data Insights team. A primary focus of the role will be to support the Private Equity business; building applications and conducting research that helps support the investment decisions. In addition you will be expected to contribute towards the teams wider objectives across Schroders Capital.
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 5,000 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.
We moved into our new HQ in the City of London in 2018. We're close to our clients, in the heart of the UK's financial centre. And we have everything we need to work flexibly.
The Schroders Capital Data Insights (SCDI) team provides a data science capability to the different investment teams and cross business functions (solutions, sustainability, ect.) within Schroders Capital. Currently there are six Data Scientists within the team. SCDI is one of several sub-teams that form the groups data insights team that has supported investment and business decisions since 2014.
What you'll do
• Maintain and develop data science applications • Maintain and develop ETL data pipelines • Maintain and develop the data science platform based on AWS • Maintain and develop tools / packages used by the data scientists • Close coordination with the other members of the data science, central data engineering team, IT and Investment teams. • Contribute to team strategy and the growth of the team
The knowledge, experience and qualifications you need
• Degree in a relevant technical discipline, such as Computer Science, Physics, Engineering, Mathematics, Statistics, Economics or related field • Previous experience in a relevant role • Highly proficient with Python • Proficiency with R • Proficiency in Bash scripting and a good knowledge of the Linux environment • Experience with Docker • Experience with AWS • Experience in the financial industry, real estate or private equity is not required, but would be a plus
What you'll be like
• Passion for the job with high motivation and strong work ethic • Strong interest in and knowledge of computer and data science as well as analytical skills and ability to exercise sound judgment • Strong interest in building a career within the financial industry • Ability to work independently within a cross-functional team with strong interpersonal abilities • High levels of organisational skills to sustain momentum in multiple work streams
We're looking for the best, whoever they are
Schroders is an equal opportunities employer. You're welcome here whatever your socio-economic background, race, sex, gender identity, sexual orientation, religious belief, age or disability.