Data scientist Work, Jobs in Reading, Brk (with Salaries)

Applied Biodiversity Scientist
Centre for Ecology & Hydrology —Wallingford
- £40,574 - £43,056 a year
- Full-time
- Hybrid work
- Doctoral degree
- Communication skills
- Annual leave
- Employee assistance programme
Data Scientist
Oxford Dynamics —Oxford
- Full-time
- Hybrid work
- Master's degree
- Maths
- Python
Quick apply
Data Scientist – Health Outcomes for UK Biobank
University of Oxford —Oxford
- £39,424 - £47,779 a year
- Doctoral degree
- Master's degree
- SQL
Data Scientist Assistant
University of Oxford —Oxford
- £35,681 - £45,212 a year
- Full-time
7d
Senior Data Scientist - Digital Twins
KANTAR —Reading
- Full-time
- Hybrid work
- Azure
- AWS
- Python
Data Analytics & AI Solutions Group Leader
UL Solutions —Basingstoke
- Remote
- Computer Science
- Master's degree
- Bachelor's degree
- Annual leave
2d
Applied Scientist — AI Studio
Wiley —Oxford
- £53,000 - £75,867 a year
- Full-time
- Doctoral degree
- Contracts
- AI
8d
Machine Learning Engineer 1
AIOI NISSAY DOWA INSURANCE MANAGEMENT LIMITED (ANDIM) —Oxford
- Computer Science
- Master's degree
- Machine learning
- Annual leave
- Employee assistance programme
Data Analyst
Scrumconnect Consulting —Staines-upon-Thames
- £275 - £300 a week
- Azure
- Computer Science
- SQL
Machine Learning Intern
Jenoptik AG —Farnborough
- Windows
- Machine learning
- Scripting
Senior Machine Learning Scientist
AIOI NISSAY DOWA INSURANCE MANAGEMENT LIMITED (ANDIM) —Oxford
- Azure
- Doctoral degree
- Computer Science
- Annual leave
- Employee assistance programme
Marketing Data Analytics Engineer
Hertz —Uxbridge
- Full-time
- Computer Science
- SQL
- APIs
- Annual leave
- Employee assistance programme
Data Science Lead 1
UCB —Slough
- Hybrid work
- Master's degree
- Bachelor's degree
- Travel
Associate Director, Data Science
Bristol-Myers Squibb —Uxbridge
- Full-time
- Hybrid work
- Azure
- Management
- Doctoral degree
Senior Software Engineer - On Device Machine Learning
Electronic Arts —Guildford
- Hybrid work
- Computer Science
- Engineering
- Master's degree
- Annual leave
Machine Learning Engineer
Larian Studios —Guildford
- Full-time
- Engineering
- English
- C++
1d
Senior Manager, Data Sciences
Bristol-Myers Squibb —Uxbridge
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Master's degree
AI Market Content Lead
Infor —Farnborough
- Hybrid work
- Project management
- Travel
- AI
Senior AI Solutions Developer
Boehringer Ingelheim Ltd. —Bracknell Forest
- Full-time
- Hybrid work
- Azure
- Computer Science
- APIs
Postdoctoral Research Assistant in Machine Learning
University of Oxford —Oxford
- £39,424 - £47,779 a year
- Full-time
- Doctoral degree
- Machine learning
23h

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Applied Biodiversity Scientist

Centre for Ecology & Hydrology -
Wallingford

Apply Now

Job details

Full-time
£40,574 - £43,056 a year

Benefits

Cycle to work scheme
Annual leave
Company pension
Discounted gym membership
Employee assistance programme
Employee discount
Car scheme

Qualifications

Doctoral degree
Biodiversity
Communication skills

Full job description

Salary - £40,574 - £43,056
Hybrid working (50/50)
Permanent
Location: Wallingford
Closing date for applications: Friday 24th July. We reserve the right to close this advert early if we find the right candidate, so we encourage you to apply early

We are seeking an enthusiastic and innovative Applied Biodiversity Scientist to join our Biodiversity Monitoring & Analysis group . Working within interdisciplinary teams, you will collaborate with colleagues across UKCEH and external partners to improve understanding of biodiversity change and the factors driving it. Using ecological data, statistical analysis, and modelling approaches, you will investigate the impacts of environmental change on species and habitats and help predict how biodiversity may respond under different future scenarios. This role offers the opportunity to contribute to a diverse portfolio of projects that support environmental policy, conservation decision-making, and biodiversity recovery.

T he Biodiversity Monitoring & Analysis group at UKCEH in Wallingford , which includes the Biological Records Centre , comprises 28 permanent staff . BMA scientists conduct applied research on long-term changes in biodiversity, typically using data from national scale citizen science monitoring programs. We develop novel approaches to biodiversity monitoring and assessment, harnessing the power of AI and other technologies. We work closely with end-users to provide evidence to support decision-making. Our work is funded by UKRI, EU, government departments and arms-length bodies, as well as philanthropy and businesses.

Your main responsibilities will include:

Contribute to the design, analysis and interpretation of biodiversity data to support understanding and projecting biodiversity change, working collaboratively with colleagues across UKCEH and partner organisations.

Work constructively within project teams, contributing to shared problem ‑ solving , supporting colleagues, and engaging openly with feedback.

Represent the team in meetings with stakeholders and collaborators in a thoughtful and professional manner, demonstrating awareness of audience needs and context.

Produce high ‑ quality scientific outputs ( peer ‑ reviewed papers, reports and presentations), demonstrating good judgement in how evidence is framed, interpreted and presented.

What we’re looking for:

You will have a PhD or equivalent e xperience in a relevant field (e.g., ecology, conservation biology, environmental sciences).

Exper tise in applying quantitative methods for ecological questions, especially using long-term monitoring datasets , with awareness of assumptions and uncertainties .

Ability to exercise sound scientific judgement and evidence of discuss ing results critically and transparently.

Strong interpersonal skills, including experience of work ing collaboratively, reflect ing on feedback, and adapt ing working styles to different team and stakeholder contexts.

Good time management for delivery of personal work across a portfolio of projects.

Professional self ‑ awareness , including recognising when to seek input, challenge assumptions, or adjust approaches.

Excellent written and oral communication skills, demonstrated across a range of audiences.

UKCEH is committed to supporting professional development, and we welcome applicants without fieldwork experience, providing opportunities to develop the necessary skills within the role.

What we offer

At UKCEH, we recognise your dedication and provide a comprehensive benefits package designed to support you both at work and at home. When you join us, you’ll benefit from:

Generous annual leave - 27 days (rising to 29 days after 5 years) +3 for Christmas closure

10% employer pension contribution

Financial protection through life assurance and income protection

Enhanced family-friendly policies

Flexible and hybrid working options (depending on your role)

Lifestyle perks including dental, gym, retail and cycling discounts

A commitment to wellbeing, supported by a range of internal initiatives

Employee Assistance Programme and health benefits, including 24/7 support with remote GP access, mental health, physiotherapy and lifestyle services

Peer recognition and rewards that celebrate your contribution

Salary sacrifice agreement benefits including Electric & Plug-in Hybrid vehicle and Cycle2Work schemes

Interest-free annual travel season ticket loans (terms apply)

How to apply and what happens next

If you’re interested in this role, we’d love to hear from you. You’ll be directed to our Workday portal where you’ll create an account and upload your CV and a cover letter (approx. 8 mins). Your responses are an important part of our assessment process, so please take the time to complete them thoughtfully:

A cover letter: Use clear, concise examples that demonstrate your personal contribution, relevant skills, qualifications (if applicable ) and reasoning behind why you would like to join UKCEH

Once submitted , our panel will review your application, and please be assured that we are committed to providing an outcome for all applicants, regardless of the result.

Our Commitment to inclusion

At UKCEH, we believe everyone should feel welcome and able to be themselves at work. We warmly encourage applications from people of all backgrounds, experiences and identities. As a Disability Confident employer, we’re happy to support you with any adjustments you may need throughout the recruitment process.

Please note: unfortunately, we are unable to offer visa sponsorship for this role and this does not qualify for endorsement to support a Global Talent Visa application. If you are considering pursuing self-sponsorship, please indicate this in your application so we can take it into account during the recruitment process.

If we’ve just described you, we’d love to meet. Apply now.

Apply Now

Refine Your Search

data scientist jobs in reading, brk

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