Job Description

Data Scientist

Reporting to:

Lead Data Scientist

Job title:

Data Scientist

Who we're looking for

We are seeking an enthusiastic individual who thrives on solving problems and embraces creativity in their approach. You will be comfortable working with complex datasets, demonstrating both curiosity and attention to detail. As a collaborative team player, you work effectively with others and are eager to contribute your ideas in a dynamic environment. Your passion for uncovering insights and delivering results sets you apart, and you are motivated by the challenge of continuous learning and innovation.

About Schroders

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.

The base

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 team

Our mission is to empower Client Group as a leader in the transformation of data into strategic insights that drive innovation, uncover new revenue opportunities and enhance competitive advantage. Our team leverage data, advanced analytics and AI to inform decision-making, manage the business, optimise operations and focus efforts across Sales, Marketing & Product





The Delivery team partner with both Value Proposition and Sales Activation arms of Client Group, to enrich our processes with valuable insights, and help the Client Group make more disciplined and targeted strategic decisions. As a department we are looking to embed data into the centre of everything that we do and develop an ecosystem where data driven insights shape day to day decision making.





The team uses data science skills with technologies to unlock the value in data for decision-making. This encompasses everything from running ad hoc research projects, to developing proof of concepts, building scalable, automated solutions, and integrating these into the day to day lives of the business.

What you'll do

This role will be part of the Delivery Data Science team. This team was created about 5 years ago and has achieved great recognition and results in its short life, through having helped the business identify new growth opportunities and reduce risk, thanks to creatively designed machine learning models and algorithms.



The Data Scientist will engage with internal customers, understand their needs and deliver insights, recommendations and tools to shape their actions. This will involve the application of advanced analytical methodologies including predictive modelling, recommendation engines and statistical assessments on complex and often disjointed datasets, and the output will take the form of reports and presentations, or the development of prototypes and dashboards. This requires a blend of skills including programming, data analysis and statistics, as well as data-led storytelling, communication and business expertise. Additionally, creative and innovative thinking, a proactive work ethic, attention to the finer details and the ability to challenge the status quo are also valuable traits.



You will work as part of a scrum team, together with engineers and developers, so data sets can be onboarded for analysis, and models scaled and automated for implementation. You will also be in close collaboration with the rest of teams within Delivery, as we are all dedicated to providing the best possible outcomes for our internal customers, this ranges from ever-improving data quality and reporting, to state of the art CRM and Marketing systems, alongside ensuring value is derived from the tools through engagement and adoption by end users.



Your line manager will be Lead Data Scientist, providing you with day-to-day support and providing a clear picture of where most business value can be created. The areas of focus will be shaped by the Head of Insights & Data, who owns the oversight, prioritisation and roadmap of the overall function.



Responsibilities


Delivery of both ad-hoc analysis requests from Client Group stakeholders, as well as proactive value-add research delivered through reports, dashboards, presentations, etc. Exploration of new data sets to assess their value towards existing or future book of work Creation of self-service analytical tools and dashboards. Contributing towards the creation of a set of tools, techniques and practices that maximise the impact and efficiency of the team in... Work with other members of Delivery, Client Group and Technology to develop and enhance our technical tools including steering the development of the analytics data warehouse for enterprise data, machine learning operations and connectivity of our various internal data systems. turning raw data into useful and analysable derived data sets, and developing re-usable analytical and visualisation methods

The knowledge, experience and qualifications you need

Strength in Maths, Statistics, and the craft of creating actionable insights that non-technical stakeholders can act upon. Programming/automation experience in Python and SQL Deployment of ML models into a production environment Effective communication of results, including visualisation and presentation skills. Ability to communicate effectively and manage expectations, making changes stick throughout the organisation Creativity and problem solving Previous commercial experience in analytical role Commercial/results focus Pragmatic, action-oriented

The knowledge, experience and qualifications that'll help

Relevant degree subject (e.g. Statistics, OR, Data Science, any Science) Experience with cloud based technologies (AWS, Azure etc.) Familiarity with Git, Snowflake, etc. B2B/Asset Management / Investment practices Experience utilising marketing datasets and technologies covering web, social, direct/brand activities, advertising platforms and CRM would be beneficial

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 .