National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Junior Data Scientist/ Data Analyst

Envanceuk
Stockport
1 month ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Specialty Lines Data Scientist / Actuarial Analyst

Specialty Lines Data Scientist / Actuarial Analyst

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

We are looking for a highly motivated Junior Data Scientist/Data Analyst to join our Digital Innovation Team.

About us

We are a staff focused environmental consultancy driven by our vision of creating a better world and being a great place to work. We pride ourselves in the diversity of our projects and our ability to deliver innovative solutions.

We are committed to embracing technological solutions to complement our consultancy services and continue to develop and refine our in-house capabilities.

Our culture

As a small consultancy, teamwork and creativity is central to our success. We want our people to thrive at Envance and we support our team in developing the skills and experience in areas they are interested in.

We want our team to maintain a happy work/life balance and to find an approach that works best for all.

The role

We are seeking a talentedJunior Environmental Data Scientist/Data Analystto join our Digital Innovation Team comprising data analysts, GIS developers, and backend engineers to help drive the development and refinement of our environmental land management platform.

In this role, you will help to leverage open-source and field survey data, and develop and refine a range of metrics and algorithms to assess habitat types, biodiversity, and natural capital values. Your role will be critical in helping to deliver our land management and conservation projects.

Key Responsibilities:

  1. Collate, analyze and integrate open-source environmental data and field survey results.
  2. Apply algorithms and metrics for calculating biodiversity and natural capital values.
  3. Conduct rigorous data analysis and interpret results.
  4. Identify opportunities for improving data quality, accuracy, and accessibility.
  5. Support the wider team in the production of dashboards and GUIs.

Qualifications & experience:

  1. A degree in Environmental Science, Data Science, Maths, Ecology, or a related field (Master’s or Ph.D. preferred).
  2. Experience in data analysis and statistical modelling, particularly in environmental or ecological contexts.
  3. Experience with programming languages such as Python or R, and familiarity with GIS software is desirable.

We are looking for people that have the following attributes:

  1. A confident self-starter with a passion for environmental data science.
  2. A critical thinker who enjoys problem solving.
  3. Attention to detail and a love of numbers.
  4. Excellent verbal and written communication skills.

Why Join Us?

You will be part of a dynamic team dedicated to making a positive impact on the environment. You will be working in a collaborative and supportive work environment that values innovation and creativity and be helping to work with cutting-edge technology that drives sustainable land management practices.

In addition to a competitive salary and a great place to work, we offer full-time staff:

  1. 33 days annual leave including bank holidays.
  2. Additional leave after 2 years of service.
  3. Unlimited training budget with your training plan.
  4. Enhanced contributory pension scheme.
  5. Cycle to work scheme.
  6. Monthly well-being allowance for you to spend on a sport or activity of your choice.
  7. Discretionary profit share scheme.
  8. Potential for participation in future share option scheme.
  9. Free parking.

We are happy to work flexibly to meet your needs. If you are the right person for us, we can make it work.


#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.