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An established industry player is seeking a Graduate Consultant in Data Science to join their innovative Analytics + Foresight Hub in Bristol. This role offers the opportunity to work on complex, impactful projects that enhance decision-making through data. You will apply a variety of data science techniques, including machine learning and data visualization, while collaborating with a team of experts. The company prioritizes professional development and employee well-being, providing a supportive environment where your contributions will directly influence critical infrastructure in the UK. If you're passionate about data science and eager to make a difference, this role is perfect for you.
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Decision Analysis Services Ltd
Bristol, United Kingdom
Consulting
-
Yes
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bacb37c9800b
2
07.05.2025
21.06.2025
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· Location: Bristol, with travel to client sites
*Please be aware that all offers of employment will be subject to a UK Security Clearance check. To gain this you ordinarily need at least 6 years’ UK residency. *
Decision Analysis Services Limited (DAS) is an independent professional services company. Since 2007 we have provided services globally to more than 200 client organisations within the energy, defence, government, transport, and health sectors. Based in offices from Glasgow to Sydney, we support clients across five continents.
We specialise in bridging the gap between strategic planning and operational execution, developing enduring solutions to the uniquely complex issues faced by our clients. We are experts in programme management, systems thinking, investment modelling, machine learning (ML), and data analysis. These unique skills, coupled with our extensive experience of engineering, regulatory practices and operations delivery enable us to develop sustainable, long-term solutions for our clients.
The Role
We are hiring for a Graduate Consultant to join our Analytics + Foresight Hub, an expert data team that sits within our Systems Consulting Practice. Applicants should have a genuine interest in data science, specifically seeking a role applying a wide range of techniques to a variety of real-world problems. Broadly, your role will involve using data to improve understanding and decision making.
As a Graduate Consultant at DAS Ltd, you will:
- Data Visualisation (e.g., Dashboarding and Visualisation)
- Analysis (e.g., EDA, cost-benefit)
- Modelling (AI, ML, System Dynamics Modelling)
- Analytics
- Systems modelling
- Futures approaches
- Requirements capture
- Data collection and pre-processing
- Model development and evaluation
- Presenting results
Apply to DAS if you want to work on varied, complex projects within a business that values your development, where no two days are alike, and where you’ll have a tangible impact on critical infrastructure in the UK.
Requirements
About You
You have a keen interest in AI/ML and have built out your technical data science skills through study. You will enjoy learning and developing your technical skills with hands-on delivery of consultancy assignments directly to clients, working independently or within client/consultant teams, and contributing to the continued development of the practice.
Applicants should be able to demonstrate:
- Knowledge and experience in programming e.g. Python and/or R
- Experience working with complex structured, unstructured and disparate datasets
- Knowledge of ML / AI techniques
In return for your skills, we offer a genuinely people focussed culture. DAS is dedicated to offering more than just a job. We're committed to cultivating your professional development and success. Employee wellbeing is at the forefront of our thinking. We actively support a healthy work-life balance and champion workplace flexibility, enabling you to prioritise the things that matter to you.
DAS is an Equal Opportunities employer. We support the principle of Equality and Diversity in employment wholeheartedly and oppose all forms of unlawful or unfair discrimination. We commit to providing equality, fairness, and respect for all in our employment, and all those seeking employment at DAS.