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- Tasks: Join our data team to design and optimise AI and analytics tools.
- Company: Altrad is a leader in infrastructure services, transforming critical projects sustainably.
- Benefits: Enjoy career growth, professional development, and a collaborative work environment.
- Why this job: Work on impactful projects and innovate within the nuclear industry.
- Qualifications: Degree in Data Science, AI, or related field; familiarity with SQL and Python required.
- Other info: Hands-on experience with Microsoft Azure and Power BI tools is a plus.
The predicted salary is between 28800 - 48000 £ per year.
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We are the leading provider of infrastructure services. At Altrad, we transform our nation’s critical infrastructure to operate safely and sustainably.
With over 11, talented people, we provide the full spectrum of critical engineering and construction services for industries both onshore and offshore. Join a Leading Organisation in the Nuclear Industry.
Join Altrad’s dynamic data team and help shape the future of intelligent business solutions. As a Data & AI Graduate, you’ll play a key role in designing, developing, and optimising data analytics, AI, and business intelligence tools within our Microsoft-based data ecosystem.
Working within a mature Microsoft application stack and Agile Scrum environment, you will collaborate across data engineering, advanced analytics, and AI-driven insight streams to turn raw data into meaningful, actionable intelligence.
This is a hands-on opportunity to build your expertise in technologies like SQL, Power BI, Python, and Microsoft Azure AI services. You will contribute to the development of data pipelines, machine learning models, and predictive analytics that drive decision-making across the business.
Key Responsibilities:
- Contribute to the development of Altrad’s Data & AI Solution Architecture, data warehouse, and secure datasets using the Microsoft stack (Azure Synapse, SQL Server, Data Lake Storage).
- Assist in ETL/ELT pipeline creation for ingesting and transforming multi-source data, using Azure Data Factory and related tools.
- Participate in the lifecycle of AI/ML models — from data preparation and feature engineering through to testing, deployment, and performance monitoring.
- Develop and maintain Power BI datasets with row-level security, calculated measures, and advanced DAX logic
- Help integrate natural language processing (NLP), forecasting models, or anomaly detection into dashboards for proactive decision support.
- Identify and resolve data quality, completeness, and latency issues, implementing automated validation scripts.
- Support end users with self-service analytics and AI-assisted data exploration in Power BI and Azure.
- Collaborate with business stakeholders to translate requirements into technical specifications for both analytics and AI solutions.
- Assist in documenting data lineage, metadata, and AI model governance to meet compliance and audit requirements.
- Work alongside senior analysts and data scientists to deliver predictive and prescriptive analytics projects.
- Maintain GDPR compliance and ensure responsible AI practices in all deployments.
- Build process automation workflows using low-code/no-code platforms integrated with AI APIs.
Key Requirements:
- Degree in Data Science, AI, Computer Science, or a related field.
- Keen interest in applying AI/ML to real-world business problems.
- Familiarity with relational databases, SQL, and data modelling.
- Basic understanding of ML algorithms and workflows.
- Exposure to Power BI, Python, and Azure AI tools.
- Strong problem-solving and analytical thinking.
- Clear communicator, able to convey technical concepts to non-technical audiences.
- Must be able to undergo full security clearance.
- Familiarity with Azure Synapse, Azure Data Factory, Cognitive Services, and Power Automate.
- Experience with Python data science libraries (pandas, NumPy, scikit-learn, TensorFlow, or PyTorch).
- Knowledge of DAX for advanced Power BI measures.
- Understanding of data governance, model monitoring, and MLOps principles.
Why Join Us?
- Work on high-impact projects within a leading organisation at the forefront of the industry.
- Opportunities for career growth and professional development.
- Collaborative and dynamic work environment with a focus on innovation and excellence.
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Data & AI Graduate employer: Altrad
Contact Detail:
Altrad Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Graduate
✨Tip Number 1
Familiarise yourself with the Microsoft stack, especially Azure Synapse and Azure Data Factory. Understanding these tools will not only help you during the interview but also demonstrate your commitment to the role.
✨Tip Number 2
Brush up on your SQL skills and be prepared to discuss how you've used it in past projects. Being able to articulate your experience with data manipulation and querying will set you apart from other candidates.
✨Tip Number 3
Showcase any hands-on experience you have with Power BI and Python. If you can share specific examples of dashboards you've created or data analyses you've performed, it will highlight your practical skills.
✨Tip Number 4
Prepare to discuss your understanding of AI/ML concepts and how they apply to business problems. Being able to connect theoretical knowledge with real-world applications will impress the interviewers.
We think you need these skills to ace Data & AI Graduate
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the Data & AI Graduate role. Emphasise your familiarity with SQL, Power BI, Python, and Azure AI tools, as well as any projects or coursework related to data science and machine learning.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and AI. Explain why you want to join Altrad specifically and how your background makes you a great fit for their dynamic data team. Mention any relevant projects or experiences that demonstrate your problem-solving abilities.
Highlight Relevant Projects: If you've worked on any projects involving data analytics, machine learning, or AI, be sure to include them in your application. Describe your role, the technologies used, and the outcomes achieved to illustrate your hands-on experience.
Showcase Your Communication Skills: Since the role requires clear communication of technical concepts to non-technical audiences, provide examples in your application where you've successfully conveyed complex information. This could be through presentations, reports, or collaborative projects.
How to prepare for a job interview at Altrad
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL, Power BI, Python, and Azure AI tools during the interview. Be prepared to discuss specific projects or coursework where you applied these technologies, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Data Ecosystem
Familiarise yourself with Altrad's use of Microsoft-based data solutions, including Azure Synapse and Data Factory. Showing that you understand their data architecture and how it supports business intelligence will impress your interviewers.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical thinking and problem-solving abilities. Practice explaining how you would approach real-world business problems using AI/ML, and be ready to discuss any relevant algorithms or models you’ve worked with.
✨Communicate Clearly and Confidently
Since you'll need to convey technical concepts to non-technical stakeholders, practice explaining complex ideas in simple terms. This skill is crucial for collaboration within teams and will be a key focus during your interview.
