Graduate Data Scientist

Arcadis
Manchester, England
20 months ago
Applications closed

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Machine Learning Research Engineer

Luminance Cambridge, United Kingdom
Hybrid
Posted
1 Oct 2024 (20 months ago)

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.

We are more than 36, people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the worlds most complex challenges and deliver more impact together.

Role description:

Our graduate GROW programme is a structured 3-year programme, designed to help you evolve and develop skills to become an experienced professional in your chosen field. Youll benefit from training and development, mentoring, and assistance foraccreditations relevant to your programme, as well as the support and guidanceyou need to develop and succeed. As a GROW graduate you will be empowered to drive your career and will be exposed to a variety of experiences to assist you in gaining the skills you require to succeed.

As an engineer joining GROW, you will be given the opportunity to specialise within your chosen discipline of engineering and we ensure you obtain the appropriate experiences that you need to become a technical expert. Being an Engineer at Arcadis is about applying a human filter to all your technical expertise and training, and making an impact through innovation and creativity. During this three-year programme you will develop core engineering and consulting techniques that can be applied while working with our clients in the UK and potentially even some of our international clients around the globe. 

Role accountabilities:

The Data Science and Analytics Group form part of the Arcadis Intelligence Global Business Area, whose mission is to drive digital leadership and deliver sustainable digital solutions to out clients, that secure planet-positive, tangible outcomes. There is a significant opportunity to join our group of data experts, advanced analytics solutions engineering and analytics consulting practices, where you will support with descriptive and predictive modelling (including Machine Learning), as well as solving complex mathematical optimisation challenges principally, but not exclusively related to Asset Investment Planning. Our projects sit across multiple sectors and the end-to-end asset life-cycle - including Water, Energy, Cities, Transport and Large Buildings Portfolios.

Accepted Degrees: BSc/BEng/MSc/MEng/MPhys in Mathematics, Statistics, Physics, Chemistry, Environmental Science, Operational Research, Data Science, Civil Engineering, Mechanical Engineering related degree.

Qualifications & Experience:

You will be graduating in or have recently graduated with at least a 2:2 in a relevant master's or bachelor's degree You will demonstrate typical Arcadian skills including Resilience, Creativity, Analytical Thinking and being a Team Player You will have excellent communication skills and the ability to use your technical knowledge to influence and consult stakeholders. Willing to travel and stay away from homewhen required (where possible we embrace virtual working) 

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