Data Scientist Graduate Watford, East of England, England
Job description
Would you like to Elevate your career at BRE?
Elevate is BRE’s fast-track development programme in becoming a subject specialist and supporting us in being industry leaders in the built environment. Through joining our Elevate programme, you will be challenged, developed, coached and supported on your path to becoming a subject matter expert in your field.
You will spend your first nine months working in your home role of Data Scientist Graduate. You will also have the option of completing two skills development placements at three months each, where these are intended to upskill you in pre-identified areas, followed by your final nine months back in your home role, also working on an exciting project and presentation.
Why does the role exist?
Do you wish to pursue a career in an industry that offers opportunities to make a positive change to the homes and buildings we occupy, the communities we’re part of, and the environment we live in?
As a Data Scientist Graduate, you’ll join our Housing Data and Insights team, working alongside a multi-disciplinary skilled group of data analysts, data scientists, building experts, and consultants; all of whom share a common passion to drive actionable data and insights to improve the way we live in our homes.
Our team has developed a breadth of positive relationships across the built environment, having worked with governments across the UK (both central and local), as well as a wide range of commercial and public sector organisations.
You’ll be aligned to the team’s data science specialists which will enable you to develop your skills in data science and agile methodologies including statistical modelling, machine learning, data cleansing and data analytics. We provide guidance and advice on techniques and technologies to effectively manage energy-use in dwellings; improve the quality of the existing housing stock, including geographical disparities, and further understand the characteristics of households who live in poorer quality housing.
Our work uses data, statistical modelling, machine learning and visual analytics to provide insights and guidance, which are used by our clients to tackle the major challenges they face in the housing and energy sectors.
- 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.
- 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.
- 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
- 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
- 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
- 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
- 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
- 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
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.
