Principal applied scientist Work, Jobs in Woking, Eng (with Salaries)

Principal Data Scientist
CoMind —London
- £152,000 - £190,000 a year
- Full-time
- IT
- AI
- Leadership
- Employee discount
Principal Applied Data Scientist
LSEG (London Stock Exchange Group) —London
- Full-time
- Azure
- Computer Science
- DevOps
Principal Data Scientist
Sky —London
- Full-time
- Hybrid work
- SQL
- Machine learning
- AI
12d
Principal Data Scientist
AWTG —London
- Machine learning
- AI
- Leadership
Principal AI/ML Scientist & Engineer
Pipedrive —London
- Full-time
- Hybrid work
- English
- AWS
- Mentoring
- Relocation assistance
- Annual leave
Quick apply
Principal Data Scientist
Faculty —London
- Full-time
- Hybrid work
- Management
- Machine learning
- Mentoring
- Annual leave
Research Fellow - Bioinformatics - Environmental Carcinogens and Tumour Evolution Scientist
University College London —London
- £43,981 - £52,586 a year
- Full-time
- Doctoral degree
- Data analysis skills
- C++
- Annual leave
- Employee assistance programme
11d
Principal Software Engineer (AI)
IDBS —Woking
- Full-time
- Master's degree
- AWS
- APIs
- Annual leave
Data Engineer
Home Office —Croydon
- £41,750 - £48,250 a year
- Full-time
- Remote
- Azure
- SQL
- AWS
- Annual leave
8d
Principal Machine Learning Engineer (Live Sports Insights)
Sky —London
- Full-time
- Hybrid work
- Machine learning
- Mentoring
- Leadership
12d
Data Scientist - LDN
Third Bridge —London
- Computer Science
- Master's degree
- AWS
- Annual leave
- Life insurance
Quick apply
Senior Architect
AECOM —London
- Full-time
- Hybrid work
- Presentation skills
- SharePoint
- Communication skills
Principal Security Consultant
Marks & Spencer —London
- Full-time
- Hybrid work
- Azure
- APIs
- In-person
- Employee discount
Principal Software Engineer - Full Stack Python/AWS
JPMorganChase —London
- Full-time
- Master's degree
- AWS
- Scripting
2d
Security Risk Analyst
Marks & Spencer —London
- Full-time
- Hybrid work
- Analysis skills
- IT
- In-person
- Employee discount
11d
AI Data Engineering Lead, Vice President
BlackRock Investments —London
- Hybrid work
- Master's degree
- Analysis skills
- Mentoring
- Work from home
Lead Machine Learning Engineer (London)
Fitch Group —London
- Azure
- Java
- Master's degree
Principal Software Engineer - Store Payments & Infrastructure
Marks & Spencer —London
- Full-time
- Hybrid work
- Azure
- DevOps
- System design
- Employee discount
Software Engineering Manager - Identity
Marks & Spencer —London
- Full-time
- Hybrid work
- Azure
- System design
- Java
- Employee discount

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Principal Data Scientist

CoMind -
London

Apply Now

Job details

Full-time
£152,000 - £190,000 a year

Benefits

Private dental insurance
Unlimited paid holidays
Company pension
Employee discount

Qualifications

Signal processing
Physiology knowledge
IT
Data science
AI
Leadership
FDA regulations

Full job description

At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be helping to create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world.

The Role:

The Data Science team at CoMind develops the algorithms and machine learning systems that transform raw optical interference signals from CoMind One into continuous, clinically meaningful measurements of cerebral blood flow, intracranial pressure, and autoregulation. Working at the frontier of photonics, physiology, and applied ML, the team's work directly determines what CoMind One can measure, how accurately, and under what clinical conditions.

As Principal Data Scientist, you will be the technical authority for CoMind's data science function, setting methodological direction for signal extraction and ML modelling, personally driving the most complex and highest-impact problems, and providing expert guidance across the team. This is a senior individual contributor role: you will not manage people directly, but your technical leadership will shape how the entire team approaches its most challenging problems. You will work closely with R&D, Clinical, and Software Engineering.

At CoMind, all team members work at least 4 days per week from our new Kings Cross offices, plus a flexible work-from-home day.

Responsibilities:

Own the technical direction for signal processing and ML model development on CoMind One, defining approaches, architectures, and evaluation frameworks that set the standard for the team
Lead the development and validation of the most complex data science components, from novel algorithm design through to evidence generation for regulatory submissions
Act as the primary technical reviewer and expert resource across the data science team, setting the bar for methodological rigour, reproducibility, and scientific integrity
Drive the design and execution of data collection and labelling strategies with Clinical teams, including ground truth definition, dataset governance, and performance benchmarking
Contribute to CoMind's IP and publication strategy, authoring and reviewing technical papers, patent applications, and regulatory documents
Represent the data science function in cross-functional technical forums, architecture reviews, and external scientific and clinical engagements
Identify and introduce new methods, tools, and approaches that advance CoMind's signal extraction and ML capabilities
AI is fundamental to our culture. It's not just a tool, but a core part of how we work, collaborate, and innovate. We expect all team members to embrace AI in their daily work and continuously find new ways to use it effectively.

Skills & Experience:

15+ years of experience in data science, ML, or applied research, with a strong track record of independent technical leadership on complex, ambiguous problems
Deep expertise in time-series signal processing and physiological or biomedical ML, including hands-on experience developing and validating models on noisy, real-world physiological data
Demonstrated ability to take algorithmic work from research through to production-quality, validated implementation
Experience in a regulated industry (medical devices, diagnostics, pharma, or similar), with familiarity with algorithm validation and documentation requirements for software as a medical device
Strong record of scientific output: publications, patents, or equivalent evidence of original technical contribution and domain authority

Nice to Have

Background in neuroscience, neuromonitoring, neurophotonics, and/or cerebrovascular physiology
Experience with optical signal processing - e.g. LiDAR, pulse oximetry, NIRS, laser doppler flowmetry, or related technologies
Familiarity with FDA regulatory pathways for AI/ML-based medical devices

Benefits:

Company equity plan so all employees share in the success of the company
Salary-sacrifice pension scheme
Private medical, dental and vision insurance (medical history disregarded)
Group life assurance at 4x annual income
Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals
Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter
Lunch voucher (£10) every day for JustEat and free dinner on those days where you need to work later
Twice weekly deliveries of fresh fruit and an extensive selection of snacks and drinks
YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores
Access to Udemy for upskilling and professional development.

Compensation Range: £152K - £190K

Apply Now

Refine Your Search

principal applied scientist jobs in woking, eng

Principal Data Scientist

Principal Applied Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal AI/ML Scientist & Engineer

Principal Data Scientist

Research Fellow - Bioinformatics - Environmental Carcinogens and Tumour Evolution Scientist

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Data Scientist - LDN

Senior Architect

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AI Data Engineering Lead, Vice President

Lead Machine Learning Engineer (London)

Principal Software Engineer - Store Payments & Infrastructure

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