Location: Remote.
Opportunity for a Senior Data Scientist to join a company revolutionising the Agri-food supply chain with cutting edge custom software solutions
- Permanent and remote role
- Agricultural sector knowledge is required OR experience in GHG/Emissions modelling.
KEY SKILLS / EXPERIENCE REQUIRED:
- Lead key projects with the design and implementation of analytical models
- Direct the technical aspects of projects
- Support other team members
- Comfortable working, manipulating and mining large datasets
- Agricultural domain knowledge (must have OR experience in GHG / Emissions modelling.)
- Proven industry/commercial/post-doc experience post degree / PhD
- GHG /carbon /emissions modelling (nice to have)
- Python and PowerBI (Nice to have)
ROLE OVERVIEW:
The hiring company work at the heart of the food supply chain, supporting customers/companies in capturing information in relation to environmental sustainability, production efficiency and animal health & welfare from farms shaping a future where data connectivity transforms agriculture, ensuring a balance between feeding a growing population and preserving our planet.
Our client requires a Senior Data Scientist as part of their growth plans able to fit into a small team and play a key role in shaping their analytical capabilities, lead project delivery, mentor other data scientists, and ensure that the data solutions are robust, scalable, and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Southampton
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like AgRecruit!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at AgRecruit, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at AgRecruit
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with AgRecruit’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
