Graduate Data Scientist Dartford 2023

We're looking for bright and committed graduates who will bring energy, new ideas and a fresh perspective to help us become the recognised leader and transform the construction and engineering industry.

Role Overview

This is a key role working within the Group Data & Analytics team. We are seeking a Graduate Data Scientist who will support our global business with multidimensional problems solving across different sectors. The right candidate will have a passion for discovering solutions hidden in large data sets and great technical understanding of statistics, machine learning and coding.

Key Deliverables and Accountabilities

• You will join as a key contributor within the group's Data Science and Analysis function, responsible for working across the group, discovering solutions hidden in large data sets, delivering high-impact custom algorithms, and working with the Data Science team to develop the capability further.
• Responsible for championing Data Science, AI, and Intelligent Automation around the organisation.
• Responsible for developing accurate, purposeful, validated models, as well as developing processes and tools to monitor and analyse model performance and data accuracy.
• Responsible for being ethical and fair when it comes to building and maintaining algorithms and models.
• Identifying opportunities to improve consistency in data for greater predictability
• Designing large-scale experimentations on data across business silos to harness the value in linked data and determining predictive power
• Contributing to the Data Science and Advanced Analytics backlog for the company and ensuring its adequacy with the global IT backlog and portfolio
• Fostering a culture of learning and value drivers in data science and advanced analytics
• Creating adequate KPIs and metrics to evaluate methods and solutions
• Keeping informed of latest methods and technologies in statistics, machine learning and artificial intelligence and articulating suitability to use cases
• Proposing a reliable approach to data sampling, model training, re-training and quality assurance of the advanced analytics pipeline
• Improving data wrangling and preparation to increase efficiencies
• Looking at opportunities to move advanced analytics and machine learning algorithms into production environment, highlighting dependencies, scalability options and limitations

Qualifications

Bachelor's degree in Statistics, Mathematics, Computer Science and Engineering

The Laing O'Rourke Graduate Development Programme - what can you expect?

Our graduate programme is designed to embrace and develop your capabilities. Most importantly, you will be encouraged to continue learning throughout your career. You will be stretched, challenged and supported by a business that views your personal development and the achievement of professional accreditation as a priority.

Our programme will give you the practical experience, technical learning and professional development while being part of the some of the most exciting construction and infrastructure projects in the UK.

Entry requirements

We are looking for graduates who meet the following criteria:

• Eligible to work in the UK with a valid work permit if applicable
• Full mobility as you may be required to relocate for your role
• Strong numeracy and literacy skills
• A degree course with a clear route to professional accreditation
• Your degree classification should be 2:2 or higher
• Entry degrees will be listed within each of our graduate vacancies and differ from role to role

The Graduate Development Programme will commence in September 2023

We are an equal opportunity employer and encourage applications from suitably qualified and eligible candidates regardless of gender, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity.