We’re looking for a Data Scientist to join our Data Analytics and Business Intelligence Team. We’re a charity with a bold new strategy to Restore Nature, Inspire Millions and End Unequal Access to Nature and Heritage. We care for land and properties across England, Wales and Northern Ireland, making them accessible to as many people as possible and protecting these special places for future generations.
Running a such a large and complex organisation requires us to build insight into how we are doing. Using data science, we can better understand our audiences, help to make the most of funding opportunities, and automate processes so that our teams are freed up to welcome visitors and protect our places. The Data Analytics and Business Intelligence team do this, analysing the data we hold, sharing insights with teams, and creating a culture where strategic decisions are made using robust data and analysis.
What it's like to work here
The Data Team are a central team, and we play a key role in supporting the delivery of our People and Nature Thriving strategy. You’ll be joining a team that does analysis to support all areas of the National Trust. We’re motivated and inspired by our mission and work hard to provide insights that will result in real change for our colleagues, our supporters and our places. With over 5 million members, and land from the White Cliffs of Dover to Giant’s Causeway, our work is varied and interesting.
Your contractual location will be our head office in Swindon and there will be an expectation for you to attend the office. However, there is flexibility on where you are based at other times. You will be required to work at a National Trust location for 40-60% of your working week. This will be discussed in more detail at interview.
What you'll be doing
You’ll help unlock the value of data by applying advanced analytics, machine learning and statistical modelling to inform decision-making. As part of the wider data team, you’ll build scalable data and analysis pipelines while strengthening capability across the organisation through mentoring and advocacy. Working closely with the Data Analytics and BI Manager, you’ll support a strong analyst community, combining technical expertise and clear communication to drive impactful insights and shape the organisation’s data science approach.
You can view the full role profile for this role in the document attached. You don't need to have all of the knowledge, skills and experience listed in the role profile; this is just to provide a full picture of what’s possible in this role.
Who we're looking for
- Strong understanding of machine learning, AI and statistical modelling techniques
- Understanding of enterprise data platforms such as Snowflake
- Excellent communication skills with the ability to explain complex ideas simply and accurately
- Ability to influence and advocate for data science at all levels of the organisation
- Proven experience of delivering impactful data science projects in a complex organisation
- Track record of building tools, dashboards or models that are adopted and used by others
The package
The National Trust has the motto ‘For everyone, for ever’ at its heart. We’re working hard to create an inclusive culture, where everyone feels they belong. It’s important that our people reflect and represent the diversity of the communities and audiences we serve. We welcome and value difference, so when we say we’re for everyone, we want everyone to be welcome in our teams too.
- Substantial pension scheme of up to 10% basic salary
- Free entry to National Trust places for you, a guest and your children (under 18)
- Rental deposit loan scheme
- Season ticket loan
- EV car lease scheme (for roles that meet the salary criteria)
- Perks at work discounts such as gym memberships, shopping discount codes, cinema discounts
- Holiday allowance up to 32 days relating to length of service, plus holiday purchase scheme, subject to meeting minimum criteria.
- Flexible working whenever possible
- Employee assistance programme
- Free parking at most Trust places
