You will have exposure and involvement across major workstreams, such as the national housing surveys, local government housing stock models, fuel poverty modelling and a range of related research and consultancy projects.
The role will encompass various activities such as:
- Innovative uses of data and the application of data science to provide insight for our clients.
- Supporting the development of machine learning and predictive modelling for internal and external stakeholders.
- Applying statistical learning to build predictive models, that offer a deeper understanding of both national government and local government client data.
- Working as part of a wider team to ensure client needs are met and that we strive to address more of the sector’s challenges with our data-driven approaches.
- Working alongside experience team colleagues to develop and grow your technical skills through collaboration.
- Opportunities to network with colleagues across the business to share knowledge and develop strong inter-personal skills.
- Leading meetings, workshops, and conversations with colleagues across the directorate.
- Opportunities to be involved in different stages of project management, development and delivery.
How will success be measured?
- Model upgrades to introduce efficiencies across our national housing surveys and local authority clients.
- Increase client satisfaction with automation, continuously improving accuracy from reporting where possible.
- Helping the team deliver our data strategy.
- Helping the wider teams to deliver modelling and reporting outputs.
What skills and experience does the role need?
- A degree in a STEM subject (preferably data/computer science or statistics / mathematics)
- A genuine interest in the built environment
- Excellent written and verbal communication skills
- A natural curiosity with a desire to develop and share new skills
- The confidence to speak up with great ideas, embrace change and seek innovative ways of working
- Some experience or conceptual knowledge of analytics
- Some experience or conceptual knowledge of machine learning
- An interest in data and data driven decision making
- An interest in housing and the challenges facing the housing teams
How we will help to Elevate your career:
You will have the opportunity to take part in various development activities such as:
- Personal development plans
- Structured coaching in blocks of six sessions with identified deliverables for each block
- Structured mentoring from a senior leader at BRE
- A personal development fund of £1,000 for additional qualifications, conferences or industry events
- Scheduled group development workshops on consultancy skills, problem-solving and presentation skills
- Group transition workshops to support you with the transition out of the Elevate programme and into your team
What salary and benefits does the Elevate programme offer?
Your salary will start at £30,000 in year one, with an increase to £32,000 in year two, then upon a successful interview and completion of the Elevate programme, you will be promoted into a higher-level role in your home team, with a salary of at least £34,000.
We offer a whole host of benefits to our colleagues:
Benefits for you and your family
- 25 days annual leave
- Volunteering day
- Flexible hybrid working options
- Learning and development opportunities including free access to our BRE Academy and Percipio courses
- Life assurance – 4x basic salary
- Onsite nursery
- Enhanced maternity package
Rewarding and recognising you
- Annual salary review
- Pension scheme with 5% matching employer contribution
- Pensions advice
- Recognition schemes including retail vouchers and cash awards
- Employee referral scheme (£1,000)
- Professional membership reimbursement
Supporting your health and wellbeing
- Lifeworks – employee assistance programme
- Healthpartners – cash back on a wide range of health and wellbeing costs including prescriptions, physiotherapy, dental care and more
- Regular health and wellbeing events
- Onsite restaurant
- Free onsite parking including free EV charging points
- Local bus service to site
- Cycle to work scheme
What to expect from the application process:
- Stage 1 – Complete your application form and upload your CV onto our careers site by 10th March
- Stage 2 – Successfully shortlisted candidates will be invited to complete online assessments by 24th March
- Stage 3 – Successfully shortlisted candidates will be invited to attend a remote Teams screening conversation with a member of the Resourcing team by 7th April
- Stage 4 – Successfully shortlisted candidates will be invited to attend an Assessment Day at our Science Park in Watford on one of the following dates: 9th May, 11th May, 16th May or 18th May
- Stage 5 – Offers to be made and feedback to be provided to unsuccessful candidates by end of May
- Start date for successful hires – Monday 11th September 2023
About BRE:
BRE contributes to a thriving and sustainable world by developing science-led solutions to built environment challenges, making buildings better for people and for the environment. You can find out more here: About us | BRE Group
Our BRE Behaviours:
Collaboration – Communication, Networking/ partnerships, Teamwork
Impactful – Continuous improvement, Trusted experts, Accountability/ ownership
Commercial – Sustainable, Customer focus, Business acumen
*Please note this role is flexi-hybrid (mainly home based with ad-hoc requirements on site)*
We’re building a diverse and talented team at BRE because we know that different perspectives, experiences and skills will help us be more innovative and mean that we can help deliver effective solutions for our customers.
This is a non-exhaustive summary of your role and is non-contractual. In addition to the above, you may be required to undertake additional duties in order to properly execute your role. This job description is subject to variation from time to time in order to meet the changing needs and requirements of our industry, as well as customer and business demands.
The experience requirements above are provided for guidance purposes, however we would welcome applications from candidates with more or less relevant experience who can demonstrate their suitability for the role.
Whilst this advert may state a specific location or hours, we encourage flexibility and are happy to have a conversation on how this role could be fulfilled in a different way.
Please also note that should we receive a large number of applications for the role, we may close the advert sooner than the specified closing date, so please do apply at your earliest convenience to avoid disappointment.