Ai scientist Work, Jobs in Wakefield, Wyk (with Salaries)

Applied AI Data Scientist
Pharmacy2U —Leeds
- £60,000 - £75,000 a year
- Full-time
- Hybrid work
- Azure
- SQL
- Machine learning
- Annual leave
- Employee assistance programme
Quick apply
NLP Data Scientist - Customer Intelligence
Pharmacy2U —Leeds
- £60,000 - £75,000 a year
- Full-time
- Hybrid work
- Azure
- SQL
- Machine learning
- Annual leave
- Employee assistance programme
Quick apply
11d
AI Product Manager
BGBx —Sheffield
- £50,000 - £60,000 a year
- Remote
- Master's degree
- Product management
- Agile
- Annual leave
- Life insurance
Quick apply
7d
AI Software Engineer
BGBx —Leeds
- £65,000 - £75,000 a year
- Remote
- Azure
- Master's degree
- JavaScript
- Annual leave
- Life insurance
Quick apply
7d
Lead Data Scientist
Informed Solutions —Leeds
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Master's degree
- Gym membership
- Referral programme
Quick apply
Senior Data Scientist
Informed Solutions —Leeds
- Hybrid work
- Azure
- Doctoral degree
- Master's degree
- Gym membership
- Referral programme
Quick apply
Tech Lead, Web Core Product & Chrome Extension - Leeds, United Kingdom
Speechify —Leeds
- Remote
- JavaScript
- Communication skills
8d
Software Engineer, iOS Core Product - Leeds, United Kingdom
Speechify —Leeds
- Remote
- Communication skills
2d
Data Engineer
Arup —Leeds
- Azure
- Engineering
- AWS
13d
Agentic Platform Architect / Systems Administrator
BGBx —Sheffield
- £65,000 - £75,000 a year
- Remote
- Azure
- DevOps
- Master's degree
- Annual leave
- Life insurance
Quick apply
7d
Embedded Systems Lead
Unicorn Biotechnologies —Sheffield
- £50,000 - £70,000 a year
- Full-time
- C++
- Software development
- APIs
- Health & wellbeing programme
- Relocation assistance
Quick apply
Technical Solutions Engineer
Everseen —Leeds
- Full-time
- Hybrid work
- Project management
- JavaScript
- Travel
Trading Manager
Fanatics Betting & Gaming —Leeds
- £75,000 - £83,000 a year
- Full-time
- Mentoring
- AI
- Communication skills
Quick apply
Associate Director - Planning
AECOM —Leeds
- Full-time
- Hybrid work
- Oracle
Senior Information Manager
AECOM —Leeds
- Hybrid work
- Azure
- Management
- Engineering
Principal Geo-Environmental Consultant - Leeds
Tetra Tech —Leeds
- Hybrid work
- Engineering
- Laboratory experience
- Master's degree
Data Science Manager
Morrisons —Bradford
- SQL
- AWS
- Machine learning
- Free parking
- Store discount
Quick apply
Technical Director, Capture Management Lead - Water
AECOM —Leeds
- Full-time
- Hybrid work
- Sales
- Travel
- Leadership

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NLP Data Scientist - Customer Intelligence
Pharmacy2U —Leeds
Flexible hybrid working to help balance work and home life. Location: Leeds, LS15 8GB - We operate a hybrid schedule, 1-2 days a week in the office.
£60,000 - £75,000 a year
Quick apply
11d
Forward Deployed Engineer
Biorelate —Manchester
You’ll lead customers through the full implementation lifecycle - supporting technical scoping during pre-sales with the Senior Solutions Consultant, through…
Quick apply
7d

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Applied AI Data Scientist

Pharmacy2U -
Leeds

Quick apply

Job details

Full-time
£60,000 - £75,000 a year

Benefits

Cycle to work scheme
Annual leave
Company pension
Discounted gym membership
Employee assistance programme
Private medical insurance
Employee discount
Referral programme
Car scheme
Sick pay

Qualifications

GPhC
Azure
Relational databases
NumPy
SQL
Pandas
Machine learning
Regression analysis
Data science
Python
NMC

Full job description

Role: Applied AI Data Scientist

Location: Leeds, LS15 8GB We operate a hybrid schedule, 1-2 days a week in the office

Salary: £60,000 - £75,000 per annum + up to a 10% annual discretionary bonus and our extensive benefits

Contract type: Permanent

Employment type: Full time

Working hours: Monday – Friday 37.5 hours per week. We work on a core hours principle. Our core hours are 09:30 - 16:00; you can work around these to suit you!

Do you want to work for the nation’s largest online pharmacy ensuring excellence for all our patients? We’re a market leader in the pharmacy world, with 25 years’ experience, helping over 1.8 million patients in England manage their NHS prescriptions from request through to delivery. We are Great Place to Work certified as we consider colleague experience a top priority every day, and as a certified B Corp we also meet high standards of social and environmental responsibility. Our people are fundamental to our success and ensuring we achieve our vision to be a world leading, patient-centric digital healthcare provider. We are committed to continuing to develop a positive, open and honest working environment for all.

Our tech teams keep us running 24/7 to make sure all our patients get world class service. To support that, this role may include participation in an out-of-hours rota as required by the business. We operate fair scheduling process as well as additional compensation for all on call periods.

Build and operate the machine learning models underpinning Pharmacy2U’s medication management products. Working with rich temporal and behavioural patient data, you will address problems with direct patient impact, including predicting medication need and identifying risk of non‑adherence. This is a hands‑on role within a small, high‑impact team, where models are productionised and embedded into real patient‑facing services.

Why you’ll love working with us

We believe great people deserve great support. That’s why we offer a benefits package designed to look after your health, finances, career and life outside work.

Financial security & rewards

Competitive contributory pension
Occupational sick pay
Long-service awards and refer-a-friend bonuses
Professional registration fees covered (GPhC, NMC, CIPD and more)
Cycle to Work and Green Car schemes (subject to eligibility)

Family-friendly

Enhanced maternity and paternity pay
Flexible hybrid working to help balance work and home life

Health & wellbeing

Private healthcare insurance at discounted rates (Aviva)
Employee Assistance Programme and in-house mental health support
Access to discounted gym memberships via Blue Light Card and benefits schemes
Regular health and wellbeing initiatives

Career growth

Strong commitment to CPD, training and professional development

Time off & flexibility

25 days’ annual leave, increasing with service
Buy and sell holiday scheme

Everyday perks & exclusive discounts

Blue Light Card and employee discount platform
Exclusive discounts at The Springs, Leeds
25% off health & beauty purchases
25% off Pharmacy2U Private Online Doctor services

Culture & community

Regular social events throughout the year

What you’ll be doing?

Design, build, validate, and document machine‑learning models for medication behaviour, including adherence risk and medication synchronisation
Engineer temporal and behavioural features from prescription ordering patterns, cycle data, and adherence signals
Apply rigorous evaluation approaches, including cross‑validation, calibration analysis, and fairness assessment across patient cohorts
Analyse large‑scale medication ordering data to identify opportunities for new or improved AI‑driven capabilities
Assess and communicate the clinical and commercial value of modelling approaches to support prioritisation and business cases
Collaborate with clinical stakeholders to define safety rules, constraints, and appropriate model usage in patient‑facing contexts
Work with MLOps and engineering partners to package and deploy models into production environments (e.g. Azure ML)
Define and support model monitoring, including performance baselines, drift detection, and retraining criteria

Who are we looking for?

Demonstrated experience applying machine learning techniques, including classification, regression, and ensemble methods (e.g. XGBoost, LightGBM, random forests)
Proficiency in Python for applied ML and analysis (pandas, scikit‑learn, NumPy, matplotlib/seaborn)
Experience engineering features from temporal, behavioural, or sequential data
Comfortable using SQL to explore and extract data from large relational databases
Experience working with large‑scale tabular datasets, including millions of records
Working knowledge of model interpretability and explain ability techniques (e.g. SHAP, feature importance)
Experience with robust model evaluation practices, including cross‑validation, calibration, class imbalance, and metrics beyond accuracy (precision, recall, F1, AUC)
Ability to communicate technical results clearly to non‑technical stakeholders and document models for reuse and production
Background in applied data science or machine learning roles, with familiarity with regulated or healthcare contexts, cloud ML platforms, survival/time‑to‑event methods, and collaborative development practices (desirable)

What happens next?

Please click apply and if we think you are a good match, we will be in touch to arrange an interview.

Applicants must prove they have the right to live in the UK.

All successful applicants will be required to undergo a DBS check.

Unsolicited agency applications will be treated as a gift.

#LI-RW-1

Quick apply

Refine Your Search

ai scientist jobs in wakefield, wyk

Applied AI Data Scientist

NLP Data Scientist - Customer Intelligence

AI Product Manager

AI Software Engineer

Lead Data Scientist

Senior Data Scientist

Tech Lead, Web Core Product & Chrome Extension - Leeds, United Kingdom

Software Engineer, iOS Core Product - Leeds, United Kingdom

Data Engineer

Agentic Platform Architect / Systems Administrator

Embedded Systems Lead

Technical Solutions Engineer

Trading Manager

Associate Director - Planning

Senior Information Manager

Principal Geo-Environmental Consultant - Leeds

Data Science Manager

Technical Director, Capture Management Lead - Water

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