Senior Data Scientist

Location- London or Milton Keynes (minimum of two days a week in the office. You can do more than two days if preferable)

Reporting to- Interim Data and Technology Team Lead

Band- 3.2

Salary- £57,000 to £62,000 (depending on location and proven ability)

Working hours- Full time (9 day fortnight)

Contract type/duration- Permanent

Closing date- 19th January 2025

If you have been selected for consideration for the position, our Recruitment team will contact you to arrange a preliminary phone interview.

We're looking for a highly motivated and collaborative data scientist that wants to use their skills to help increase resilience to climate change. You'll be working as part of a cross-functional and cross-organisational team of innovators, researchers, and network operators to develop market-ready digital technologies to make the UK's infrastructure system resilient against climate change and extreme weather.

Connected Places Catapultis the UK's innovation accelerator for cities, transport, and places. We provide impartial 'innovation as a service' for public bodies, businesses, and infrastructure providers to catalyse step-change improvements in the way people live, work, and travel. We connect businesses and public sector leaders to cutting-edge research to spark innovation and grow new markets.

Climate Resilience Decision Optimiser (CReDO)

Connected Places is leading a programme to develop a digital twin and data sharing platform to increase systems-level resilience of critical national infrastructure against climate change and extreme weather.

Purpose of the role

We're looking for an individual with deep technical knowledge to lead the development of our Python modelling codebase. The codebase includes support for: Bayesian risk modelling of assets against climate hazards and their mitigations; network modelling of the cascading risk of asset failures across infrastructure systems; economic modelling of the costs of failure and mitigation; decision intelligence to optimise network mitigation and investment strategies; and network resilience analytics.

What you'll be doing

1. Leading development and design of our Python modelling codebase
2. Interpreting user and product requirements and ensuring best practice across the team
3. Building prototypes that will be developed into production-ready deployments through iteration
4. Planning development into sprint cycles and managing dependencies
5. Working collaboratively in cross-functional teams following agile software development principles
6. Fostering internal capabilities and potentially mentoring junior colleagues
7. Being active and engaged in team discussions, contributing ideas
8. Continuously learning and upskilling on the job
9. Communicating progress and outcomes through visualisation and reports
10. Upholding and promoting CPC's values, ensuring equity, inclusivity, and diversity
11. Committing to equal opportunities and ethical practices

Requirements

Essential

1. Qualifications in a scientific, mathematical or engineering subject or equivalent experience
2. Significant work experience applying data science to real-world projects
3. Day-to-day working knowledge of Python and data science libraries
4. Understanding of probability and statistics and common data science methods
5. Experience of quickly learning new methods
6. Experience with agile software development
7. Experience turning research ideas into production code
8. Clear communication to both technical and non-technical stakeholders
9. Pragmatic and outcomes focused, with problem-solving aptitude
10. Enjoy forming relationships and inspiring teams

Desirable

1. Masters or PhD in a numerate or scientific discipline
2. Knowledge of network science and geospatial methods
3. Knowledge of Monte Carlo methods and Bayesian networks
4. Knowledge of optimisation and decision support methods
5. Knowledge of economic modelling and cost-benefit analysis
6. Awareness of climate resilience and adaptation

Benefits

1. 9 day fortnight for everyone, with a full company shutdown every other Friday.
2. 23.5 holiday entitlement for everyone, with pro-rata calculations for part-time employees.
3. Competitive pension, up to 10% company contribution.
4. Two paid days of volunteering leave per year.
5. Employee Assistance Programme (EAP)providing 24/7 confidential support services.
6. Cycle to Work Scheme.
7. Cash Health Plan, offering reimbursement for healthcare expenses.
8. Payroll Giving scheme.
9. Discounts and offers from retailers.
10. Mortgage Advice benefit.

Employment here is based solely upon individual merit and qualifications directly related to professional competence. We strictly prohibit unlawful discrimination or harassment on any protected basis.

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