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1,858

User Researcher jobs in United States

Graduate Data Scientist in Oldham, Greater Manchester, United Kingdom

Energy Jobline CVL

Oldham
On-site
GBP 25,000 - 35,000
7 days ago
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Data Scientist

SR2 | Socially Responsible Recruitment | Certified B Corporation™

Cardiff
Hybrid
GBP 45,000 - 55,000
7 days ago
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Data Scientist- 450PD- Hybrid in City of London

Energy Jobline ZR

City Of London
Hybrid
GBP 100,000 - 125,000
7 days ago
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Leather Scientist in Cambridgeshire

Energy Jobline ZR

England
On-site
GBP 60,000 - 80,000
7 days ago
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Laboratory Technician / Scientist / Manager in Cambridge

Energy Jobline ZR

Cambridge
On-site
GBP 34,000 - 50,000
7 days ago
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Data Scientist, Capital Team - Assistant Vice President

Citigroup Inc.

Belfast
Hybrid
GBP 50,000 - 70,000
7 days ago
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Risk Data Scientist in Newcastle upon Tyne

Energy Jobline ZR

Newcastle upon Tyne
On-site
GBP 59,000 - 70,000
7 days ago
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Data Scientist in United Kingdom

Vallum Associates

United Kingdom
Remote
GBP 100,000 - 125,000
7 days ago
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Scientist, Analytical Chemistry and Quality Control in Coventry

Energy Jobline ZR

Coventry
On-site
GBP 40,000 - 60,000
7 days ago
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Project Scientist

Quadram Institute

United Kingdom
On-site
GBP 30,000
7 days ago
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Associate Scientist - Pharmaceutical Development in Sittingbourne

Energy Jobline ZR

Sittingbourne
On-site
GBP 25,000 - 35,000
7 days ago
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Data Scientist - Contract in City of London

Energy Jobline ZR

City Of London
Hybrid
GBP 60,000 - 80,000
7 days ago
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Associate Director, AI Data Scientist in London

Energy Jobline ZR

City Of London
On-site
GBP 90,000 - 120,000
7 days ago
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Associate Quality Control Scientist in Sittingbourne

Energy Jobline ZR

Sittingbourne
On-site
GBP 25,000 - 35,000
7 days ago
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Histology Senior Biomedical Scientist in London

Energy Jobline ZR

City Of London
On-site
GBP 60,000 - 80,000
7 days ago
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Lead Data Scientist - Remote in Edinburgh

Energy Jobline ZR

City of Edinburgh
Remote
GBP 60,000 - 90,000
7 days ago
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Senior AI Data Scientist

Ofgem

Cardiff
Hybrid
GBP 60,000 - 80,000
7 days ago
Be an early applicant

HEOR Scientist - Vaccines

SRG

City Of London
Remote
GBP 80,000 - 100,000
7 days ago
Be an early applicant

Biomedical Scientist (Heamatology)- BANK ONLY

Katalysysts Consulting

Swindon
On-site
GBP 38,000 - 47,000
7 days ago
Be an early applicant

Research Scientist in Cambridge

Energy Jobline ZR

Cambridge
On-site
GBP 97,000 - 182,000
7 days ago
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R&D Analytical Scientist in Slough, Berkshire

Energy Jobline CVL

Slough
On-site
GBP 125,000 - 150,000
7 days ago
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Researchers Interested in Mental Health - Volunteer

The Grae Matta Foundation

United Kingdom
Remote
GBP 60,000 - 80,000
7 days ago
Be an early applicant

Data Scientist

Ascent People Ltd

Nottingham
On-site
GBP 100,000 - 125,000
7 days ago
Be an early applicant

Biomedical Scientist in London

Energy Jobline ZR

City Of London
On-site
GBP 60,000 - 80,000
7 days ago
Be an early applicant

Data Scientist in London

Energy Jobline ZR

City Of London
Hybrid
GBP 100,000 - 125,000
7 days ago
Be an early applicant
Graduate Data Scientist in Oldham, Greater Manchester, United Kingdom
Energy Jobline CVL
Oldham
On-site
GBP 25,000 - 35,000
Full time
7 days ago
Be an early applicant

Job summary

A global technology leader in Oldham is seeking a Graduate Data Scientist to develop Machine Learning algorithms focusing on biometric technologies. Candidates should have a degree in Mathematics or Computer Science, along with knowledge of data science and programming languages such as Python. This position offers a competitive salary and robust employee benefits, including enhanced maternity leave and health insurance.

Benefits

Competitive salary
Flexible working hours
32 days holiday (including public holidays)
Enhanced maternity/paternity/adoption leave & pay
Enhanced Pension Contribution
Healthcare Insurance (including dental)
Wellbeing support
Life Insurance
Income Protection Insurance
Educational Sponsorship
Electric Car Scheme
Free secure parking
Onsite electric car charging
Cycle to Work Scheme
Informal dress code
Paid breaks with free premium drinks

Qualifications

  • Degree in Mathematics, Computer Science or Computational Science required.
  • Basic knowledge of Data Science/Machine Learning algorithms and full data processing pipelines.
  • Proficiency in Python or MATLAB for Data Science prototyping.
  • Understanding of Convolutional Neural Networks (CNNs) and Feature Extraction techniques.
  • Basic programming skills in Python, C++, and C required.

Responsibilities

  • Develop and maintain Machine Learning algorithms for biometric technologies.
  • Optimize existing models, including CNNs.
  • Investigate and resolve algorithm issues from testing and feedback.
  • Drive improvement through research and novel techniques.
  • Ensure code quality and maintainability.
  • Develop and propose new Data Science processes.

Skills

Mathematics
Computer Science
Data Science/Machine Learning algorithms
Python
MATLAB
Convolutional Neural Networks
Feature Extraction techniques
Programming in Python, C++, and C

Education

Degree in Mathematics, Computer Science or Computational Science

Tools

Scikit-Learn
NumPy
SciPy
Job description

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

We are looking for a Graduate Data Scientist, who is looking to work in a fast paced, global, market leading company?

Here at Innovative Technology, we have an excellent opportunity for Graduate Data Scientist to join our talented team at our global head office in Oldham, Greater Manchester.

The Graduate Data Scientist role overview:

This role is to maintain and proactively develop Machine Learning algorithms for current and future products, with a core focus on biometric technologies.

Your Responsibilities as a Graduate Data Scientist:
  • Contribute directly to the development, implementation, and validation of Machine Learning algorithms for our industry-leading biometric and face analysis technologies.
  • Optimize and fine-tune existing models, including tuning and retraining existing Convolutional Neural Networks (CNNs).
  • Investigate and resolve underlying system and algorithm issues identified through testing and customer feedback.
  • Drive continuous improvement through research and development of novel techniques in the field.
  • Ensure all code added to the pipeline and shared Git repositories is of the required standard, well-documented, and easy to maintain.
  • Package all code with appropriate unit-testing to ensure future conformity and stability.
  • Actively contribute to developing Data Science activities and proposing new processes for quality development (e.g., standard reporting, source control, integration).
Your Skills & Experience:
  • A degree in Mathematics, Computer Science or Computational Science
  • Basic knowledge of Data Science/Machine Learning algorithms and full data processing pipelines.
  • Proficiency in a Data Science prototyping such as Python or MATLAB.
  • Understanding of Convolutional Neural Networks (CNNs) and Feature Extraction techniques.
  • Basic knowledge of programming including Python, C++, and C, along and libraries such as Scikit-Learn, NumPy, and/or SciPy.
Your Package & Perks:
  • A competitive salary
  • Flexible working hours
  • 32days holiday, (including publicHolidays) plusthe opportunity to earn up to an extra 13 days holiday each year
  • Enhanced maternity/paternity/adoption leave & pay
  • Enhanced Pension Contribution
  • Healthcare Insurance (including dental)
  • Wellbeing support
  • Life Insurance
  • Income Protection Insurance
  • Educational Sponsorship
  • Electric Car Scheme
  • Free secure parking
  • Onsite electric car charging points
  • Cycle to Work Scheme
  • Informal dress code
  • Paid breaks, with free hot premium drinks
We’re Innovative…

Trading for over 30 years here at Innovative Technology, where we now have offices on five continents and employ around 400 people, with over 150 based from our state-of-the-art R&D hub.

From self-service checkouts to arcade machines, we provide our retail, banking, kiosk, vending, gaming and amusement customers with products and services that help them securely accept automated payments, with our industry-leading technology keeping us at the forefront of our sector. We also provide facial analysis technology for estimation and control access for some of the world’s leading companies.

By being true to our values of Innovation, Collaboration, Respect and Drive we’ve seen significant growth and won numerous domestic and international awards, whilst offering outstanding career opportunities and great benefits. You’ll find us on the edge of the Pennines and less than half an hour from central Manchester, with modern offices, free parking and excellent transport links.

We are a confident employer, as such we will shortlist all candidates meeting our minimum criteria (as specified in the job description) who state they have a within their application.

What’s next?

If you are looking to join our award-winning team working on the latest cutting-edge technology, we want to hear from you.

A better way... Through our people, drive and commitment we push boundaries to deliver innovative products and services.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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