Hybrid Scientific Data Platform Engineer β€” AI-ready data layer in Norwich

Hybrid Scientific Data Platform Engineer β€” AI-ready data layer in Norwich

Norwich Full-Time 45000 - 55000 Β£ / year (est.) Hybrid
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At a Glance

  • Tasks: Build a cutting-edge data platform for AI-driven agricultural decisions.
  • Company: Join Tropic, a pioneering company in scientific data engineering.
  • Benefits: Flexible hybrid work, competitive salary, and opportunities for professional growth.
  • Other info: Be part of a dynamic team in a rapidly evolving field.
  • Why this job: Make a real impact on agriculture with innovative data solutions.
  • Qualifications: Experience in data engineering and a passion for collaboration.

The predicted salary is between 45000 - 55000 Β£ per year.

Tropic is seeking its first dedicated data engineer to define and build the shared data foundation for a high-value scientific estate in Norwich. You will connect gene-editing outcomes, field trials, genotyping and phenotyping data into scalable architectures to enable AI-driven crop decisions.

Based onsite in Norwich with two days a week in the office, you will collaborate with Bioinformatics, IT and business data owners to design data models, pipelines and standards that support analytics.

Hybrid Scientific Data Platform Engineer β€” AI-ready data layer in Norwich employer: Tropic

Tropic is an exceptional employer, offering a unique opportunity to be at the forefront of agricultural innovation in Norwich. With a commitment to employee growth, competitive benefits including private healthcare and generous annual leave, and a dynamic work culture that values collaboration and diversity, Tropic empowers its team to make meaningful contributions to global food security and sustainability. Join us to shape the future of crop development while enjoying a supportive environment that fosters professional development and personal well-being.

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Contact Details:

Tropic Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Hybrid Scientific Data Platform Engineer β€” AI-ready data layer in Norwich

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Tropic!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Hybrid Scientific Data Platform Engineer β€” AI-ready data layer at Tropic.

✨Leverage Professional Networks

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 Tropic.

✨Apply Directly through Our Website

When you find a suitable opening like Hybrid Scientific Data Platform Engineer β€” AI-ready data layer at Tropic, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Hybrid Scientific Data Platform Engineer β€” AI-ready data layer in Norwich

Data Engineering
Data Modelling
Pipeline Design
Scalable Architectures
Bioinformatics Collaboration
Analytics Support
Gene-Editing Data Integration

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 Tropic, 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 Tropic. 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 Tropic

✨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 Tropic!

✨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.