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- Tasks: Act as a strategic advisor and hands-on data science practitioner in agriculture.
- Company: Billigence, a global boutique data consultancy transforming data work.
- Benefits: Opportunity to work on impactful agricultural projects with potential for long-term collaboration.
- Other info: Inclusive employer committed to diversity and equal opportunities.
- Why this job: Make a real difference in farming and supply chains using advanced data science.
- Qualifications: Experience in data science, agricultural modelling, and strong communication skills.
The predicted salary is between 60000 - 80000 £ per year.
Who we are
Billigence is a boutique data consultancy with global reach, helping organisations transform the way they work with data. We specialise in delivering high-impact data solutions across Business Intelligence, Data Engineering, Data Governance, Cloud Data Platforms, and Advanced Analytics. Headquartered in Sydney with offices across the UK, Europe, and APAC, Billigence partners with organisations to design and implement modern data platforms that drive better decision-making and business outcomes. Our teams work on complex, enterprise-scale data programmes across a variety of industries including retail, financial services, and technology.
About the role
Billigence is supporting an agriculture-focused initiative that aims to apply advanced data science to real-world farming and supply chain challenges. We are looking for an experienced Data Science Advisor & Implementer with a strong background in agricultural modelling and analytics. This is a hands-on advisory role, combining strategic guidance with practical implementation to help translate complex analytical approaches into operational solutions within agricultural value chains. The engagement will initially run for 3 months, with the potential to extend into a longer-term collaboration.
What you'll do
- Act as both a strategic advisor and hands-on data science practitioner
- Design, build, and evaluate data science models addressing agricultural challenges
- Apply advanced modelling approaches, including Bayesian methods and probabilistic reasoning
- Ensure models are explainable and interpretable for non-technical stakeholders
- Translate analytical techniques into practical solutions used in real-world operations
- Work closely with stakeholders to ensure models align with agricultural processes and constraints
- Guide stakeholders on how analytical outputs integrate into business and field operations
- Provide recommendations on how data science capabilities can scale over time
What you'll need
- Proven experience applying data science to agricultural or environmental problems
- Strong expertise in statistical modelling and machine learning
- Experience working with Bayesian methods and probabilistic modelling
- Ability to build interpretable and explainable models
- Experience translating analytical work into practical operational outcomes
- Strong academic background in Data Science, Econometrics, Economics, Social Sciences, or related disciplines
- Experience working with agricultural datasets, farming systems, or commodity supply chains
- Exposure to coffee or cocoa value chains is highly desirable
- Strong communication skills and the ability to explain complex concepts clearly
Inclusion and equal opportunities
We are an equal-opportunity and inclusive employer committed to creating an inclusive environment for all applicants and employees. We will consider all applicants for employment without regard to race, ethnicity, national origin, religion, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status.
Interested?
If you are a talented and experienced Data Scientist passionate about applying analytics to real-world agricultural challenges, we'd love to hear from you. For any questions related to the application process, please contact UK.Recruitment@Billigence.com
Senior Data Science Consultant (Outside IR35) in London employer: Billigence
Contact Detail:
Billigence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Science Consultant (Outside IR35) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the agricultural and data science sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about sliding into DMs to ask for advice or insights. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to agriculture. Use platforms like GitHub to share your code and results. This not only demonstrates your expertise but also gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the agricultural context. Be ready to discuss how your experience with Bayesian methods and statistical modelling can solve real-world problems. Practice explaining complex concepts in simple terms – it’s key for engaging with non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, get your application in and let’s see how you can help transform the agricultural landscape with data!
We think you need these skills to ace Senior Data Science Consultant (Outside IR35) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Data Science Consultant. Highlight your experience with agricultural modelling and analytics, as well as any relevant projects that showcase your skills in data science.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for this role. Share your passion for applying data science to real-world challenges, especially in agriculture, and how your background aligns with our mission at Billigence.
Showcase Your Technical Skills: Don’t forget to mention your expertise in statistical modelling, machine learning, and Bayesian methods. We want to see how you can apply these skills to solve complex agricultural problems, so be specific!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Billigence
✨Know Your Data Science Stuff
Make sure you brush up on your data science knowledge, especially around agricultural modelling and Bayesian methods. Be ready to discuss specific projects where you've applied these techniques, as this will show your hands-on experience.
✨Translate Complexity into Simplicity
Since you'll need to explain complex concepts to non-technical stakeholders, practice how you can break down your analytical approaches into simple terms. Use relatable examples from your past work to illustrate your points.
✨Showcase Your Communication Skills
Prepare to demonstrate your strong communication skills during the interview. Think of scenarios where you've successfully guided stakeholders or collaborated with teams, and be ready to share those stories.
✨Align with Their Mission
Familiarise yourself with Billigence's focus on agriculture and their commitment to transforming data use in farming. Be prepared to discuss how your experience aligns with their goals and how you can contribute to their initiatives.