Data Scientist

Job Description

About Smart Data Foundry
Smart Data Foundry has a purpose to unlock the power of financial data as a force to improve people’s lives.

What we do
We enable the research ecosystem to flourish through the provision of research ready real financial data.
We create data-driven insights based on real financial data, that identify areas to inform policy change and enhance regulation.
Inspire financial innovation with aizle™, Smart Data Foundry’s synthetic data engine, creating high utility synthetic data with no privacy issues when real-world data does not exist or cannot be safely shared.

Role Purpose
The role holder will be responsible for using data to create useful and valuable insights, predictions and products.

Responsibilities
Work with colleagues, and external clients, to understand and define objectives of data science projects, supported by senior colleagues if necessary.
Extract, process and transform data in varied formats and platforms (e.g. csv, parquet, database), adopting appropriate tools, techniques, and applying best practice.
Deliver, with minimal supervision, high quality data science outputs and products, for example reports, dashboards, predictive models.
Communicate project updates, outcomes and learning through the best channel and at the appropriate level of detail for the audience.
Collaborate with and peer review data science team members constructively, in a spirit of cooperation and collegiality.
Take responsibility for continuous learning and development, e.g. in new data or analytics tools and techniques.

Skills and Experience
Competent in key data science toolsets (R or Python), and using them to organise, process and extract data from structured and un-structured data sources using scalable approaches.
Strong verbal, written and data communication skills, comfortable in dealing with a wide range of stakeholders with varying data science knowledge – for example: report-writing, data dashboard production, group presentations.
Curiosity to learn and use new techniques and technology, coupled with a pragmatism to achieve results with the tools and skills available.
A good understanding of data structures and pipelines, along with knowledge of tools for reproducible research.
Takes personal ownership and accountability for delivering high quality work in line with project requirements, and uses good judgement in escalating to senior colleagues when over-running, facing unanticipated challenges, or redefining objectives.

Location
This role is based in our office in the Bayes Centre in Edinburgh therefore candidates must be within commutable distance or willing to relocate.

Right to Work in the UK
Applicants must have the existing and ongoing right to work in the U.K. without restrictions as sponsorship for visas is not provided.
If invited for interview you will be required to evidence your right to work in the UK.

Benefits
A collaborative, innovative and impactful place to work. We give you support, nurture your talent and reward success. You will benefit from a competitive reward package, 40 days annual leave (including 6 bank hols), a defined contribution pension scheme (14% employer and 4.5% minimum employee contribution rates), family friendly initiatives and flexible working.