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- Tasks: Develop tools using Python and apply statistical techniques in a dynamic team environment.
- Company: Join WSP, a leading engineering consultancy making a lasting impact on society.
- Benefits: Gain a degree while earning, with support from mentors and a dedicated early careers team.
- Why this job: Work on high-profile projects and make a real difference in the world through data science.
- Qualifications: Strong communication, IT skills, attention to detail, and a passion for problem-solving required.
- Other info: This apprenticeship offers a unique blend of practical experience and academic learning.
Data Scientist Degree Apprenticeship (Advisory, Data and Decision Science Team) Apply From: 11/02/2025 Learning Provider Delivered by NORTHEASTERN UNIVERSITY-LONDON Employer WSP UK LIMITED Vacancy Description As a Data Scientist Degree Apprentice in our Advisory, Data and Decision Science Team no two days will be the same. During your time as an Apprentice you can expect to develop tools using software such as Python, study applications of statistical techniques and use data and analytical techniques to measure and monitor the impact of projects across the entire asset lifecycle. Key Details Vacancy Title Data Scientist Degree Apprenticeship (Advisory, Data and Decision Science Team) Employer Description As one of the world’s leading engineering consultancy firms, at WSP we’re passionate about the big questions, and big answers, naturally. For us that’s all about reaching beyond the expected to do work that’ll make a profound impact felt long into the future. We engineer projects that will help societies grow for lifetimes to come. We’ve been involved in many high-profile projects like The Shard, Crossrail, M1 Smart Motorway and the London Olympic & Paralympic Route Network. Vacancy Location Wsp House 70 Chancery Lane WC2A 1AF Wage Frequency Custom Number of Vacancies 1 Vacancy Reference Number 1000301003 Key Dates Apply From 11/02/2025 Closing Date For Applications 2025-03-31 23:59:59 Interview Begin From N/A Possible Start Date 2025-09-01 00:00:00 Training Training to be Provided You will attend university to study a Data Science degree apprenticeship and gain a bachelors qualification, as well as completing your End Point Assessment with the education provider. You will be enrolled onto a bespoke internal development programme to help you to attain the knowledge, skills and behaviours to successfully achieve your apprenticeship, and support your career in Data Science. You will have the support of your team, line manager, mentor and buddy as well as a dedicated early careers team. Skills Required Communication skills, IT skills, Attention to detail, Organisation skills, Problem-solving skills, Logical thinking, Team working. #J-18808-Ljbffr
Contact Detail:
Getting In Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist Degree Apprenticeship (Advisory, Data and Decision Science Team)
✨Tip Number 1
Familiarise yourself with the tools and technologies mentioned in the job description, particularly Python and statistical techniques. Having a solid understanding of these will not only boost your confidence but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your problem-solving skills by preparing examples of how you've tackled data-related challenges in the past. Be ready to discuss specific projects or experiences that highlight your analytical thinking and logical reasoning.
✨Tip Number 3
Network with current or former apprentices at WSP or similar companies. They can provide valuable insights into the application process and what the team looks for in candidates, giving you an edge when it comes time for interviews.
✨Tip Number 4
Prepare thoughtful questions about the role and the company culture to ask during your interview. This shows your genuine interest in the position and helps you determine if WSP is the right fit for you.
We think you need these skills to ace Data Scientist Degree Apprenticeship (Advisory, Data and Decision Science Team)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and expectations of a Data Scientist Degree Apprentice. Familiarise yourself with the tools and techniques mentioned in the job description, such as Python and statistical methods.
Tailor Your CV: Craft your CV to highlight relevant skills and experiences that align with the requirements of the role. Emphasise your communication skills, IT proficiency, and any experience with data analysis or problem-solving.
Write a Compelling Cover Letter: In your cover letter, express your enthusiasm for the apprenticeship and explain why you are a good fit for WSP UK Limited. Mention specific projects or values of the company that resonate with you and how you can contribute to their mission.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for spelling and grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail, which is crucial for a data science role.
How to prepare for a job interview at Getting In Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Python and any statistical techniques you've learned. Highlight specific projects or coursework where you've applied these skills, as this will demonstrate your readiness for the role.
✨Demonstrate Problem-Solving Abilities
Expect to face scenario-based questions that assess your problem-solving skills. Think of examples from your studies or previous experiences where you successfully tackled a complex issue using data analysis.
✨Communicate Clearly
Effective communication is key in a team environment. Practice explaining technical concepts in simple terms, as you may need to convey your findings to non-technical stakeholders during your apprenticeship.
✨Research WSP and Their Projects
Familiarise yourself with WSP's major projects and their impact on society. Understanding the company's values and recent initiatives will help you align your answers with their mission and show genuine interest in the role.
