At a Glance
- Tasks: Build and enhance AI-assisted data pipelines for real client projects.
- Company: Canbury, a tech-driven sustainability consultancy making a difference.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment focused on impactful client delivery and innovation.
- Why this job: Join a mission-driven team and shape the future of sustainability with AI.
- Qualifications: Experience in software/data engineering, Python, and large language models.
The predicted salary is between 63000 - 77000 £ per year.
Canbury, a technology-enabled sustainability consultancy, is seeking an hands-on software/data engineer to sit close to client delivery.
You will build and harden AI-assisted pipelines and data models behind our platform, and apply them to live engagements with consultants.
You'll work with Python and large language models, own data ingestion for portfolio and issuer data, and help scale methodologies across engagements while ensuring output quality and auditable results for clients.
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Senior Data & AI Engineer - ESG Platform & Client Delivery in England employer: Canbury
At Canbury, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to make a meaningful impact in the sustainability sector. Located in a vibrant area, we offer competitive benefits, continuous professional development opportunities, and the chance to work with cutting-edge technology in AI and data engineering, ensuring that our team members grow alongside our mission to drive positive change for clients and the environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data & AI Engineer - ESG Platform & Client Delivery in England
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Canbury.
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We think you need these skills to ace Senior Data & AI Engineer - ESG Platform & Client Delivery in England
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Canbury, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Canbury. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Canbury
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Canbury!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
