Data Analyst/Scientist (UK, 4-months fixed)

Flox
London
2 months ago
Applications closed

Related Jobs

View all jobs

Pricing Manager

Pricing Manager - Stratford - Remote - £70k - £85k

Data Engineer - SC Cleared

Senior Data Engineer

Data Engineer

Senior Scientist / Scientist

About Us

We’re The Healthy Chicken Company, an ag-tech start-up that believes you can have your chicken and eat it too! Using advanced AI, we’re on a mission to transform the poultry industry by improving the lives of the 1.8 trillion chickens reared over the next few decades.

How do we do it? Our system ‘watches’ flocks and sheds with smart cameras and sensors and delivers data and insights to farmers (and others in the supply chain) that help improve welfare. It’s a win-win-win-win: good for the birds, good for farmers, good for the environment and good for you!

Our team is made up of industry-leading technical talent and ambitious entrepreneurs who genuinely want to make a difference. We embrace diversity, representing 10+ nationalities and people from all walks of life (there are even some vegans in our ranks; all welcome). We’re fun, quirky, humble, ambitious, and passionate.

It’s an exciting time of growth for FLOX – and we’re looking for like-minded people to join the team.


About the Role

We are currently seeking a fixed term Data Analyst/Data Scientist to join our team on a 4-month fixed-term contract, with room for extension depending on budget. The successful candidate will be responsible for building dashboards and data solutions to support our operational and client-facing needs. The role requires a self-starter with strong technical and project management skills, capable of working independently and proactively engaging with stakeholders, including clients, farmers, and team members.

This is an exciting opportunity for someone with a product-focused mindset who thrives in a fast-paced environment and is eager to create impactful tools.


Key Responsibilities

  • Dashboard development: Build user-friendly and functional dashboards with a focus on basic but clear UI/UX. Translate real world agricultural data into dashboards and tools that will delight our users.
  • Data analysis & management: Utilise the most suitable technical solutions to process, analyse, and manage data to create actionable insights for our clients
  • Project leadership: Manage projects independently from start to finish, including gathering requirements, designing solutions, and delivering outputs.
  • Stakeholder engagement: Proactively communicate with clients, farmers, and the internal team to gather and validate data, clarify requirements, and ensure deliverables align with goals.
  • Technical reporting: Prepare and deliver reports for internal and external stakeholders, including supporting grant-related technical documentation.


About You

Essential:

  • 4+ years of commercial Data Analyst/Scientist experience
  • Experience working in an Agile environment
  • Can commute to our East London HQ ~1-2 times per week
  • Dashboarding skills: demonstrated ability to independently create dashboards with an understanding of basic UI/UX principles. Experience selecting dashboarding solutions that best suit our team and customer requirements.
  • Technical expertise: Proficient in Python data analysis libraries such as NumPy and Pandas.
  • Self-management: Capable of running projects independently, taking initiative, and driving results.
  • Communication skills: Strong verbal/written communication skills; able to effectively engage users/customers.
  • Product focus: A solution-oriented mindset with a focus on delivering usable, impactful tools.


Desirable (optional, but valuable):

  • Domain experience developing dashboards for farming or pharmaceutical sectors.
  • Data governance: Knowledge of managing and governing confidential data securely and ethically.
  • Grant reporting: Familiarity with writing technical reports for grants or similar deliverables.
  • Startup culture: Previous experience in a fast-paced, startup environment.


⛳️ Compensation, Perks & Benefits

  • £60k-£90k depending on experience & proficiency
  • You will be a full-time PAYE employee (for 4-months), reporting to the Engineering Manager and CEO.
  • Flexible working
  • Lunch and snacks provided in the office (London, Mare Street)
  • Inclusive and relaxed company culture: we welcome everyone, we encourage you to be yourself and dress as you like
  • Exposure to state-of-the-art technologies
  • A young and international work environment
  • A chance to work with well-respected experts, including generative AI, very large datasets and robotics


We are committed to equality of opportunity for all staff and applications from all individuals are encouraged regardless of age, socioeconomic background, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.