Data scientist Work, Jobs in Wakefield (with Salaries)

Data Scientist
Link Scheme Ltd —Harrogate
- £39,000 - £49,000 a year
- Full-time
- Hybrid work
- Analysis skills
- Machine learning
- Travel
- Free parking
- Health & wellbeing programme
Quick apply
2d
Technology Specialist -Data Science
Morrisons —Bradford
- Machine learning
- Mentoring
- Agile
- Free parking
- Store discount
Quick apply
1d
Senior Data Scientist
Informed Solutions —Leeds
- Hybrid work
- Doctoral degree
- Master's degree
- Databases
- Gym membership
- Referral programme
Quick apply
Lead Data Scientist
Informed Solutions —Leeds
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- Analysis skills
- Gym membership
- Referral programme
Quick apply
Senior Data Scientist
Yorkshire Water —Bradford
- £6,000 - £73,000 a year
- Full-time
- Hybrid work
- Azure
- Agile
- Communication skills
- Annual leave
- Flexible schedule
Biomedical Systems & AI Developer (KTP Associate)
University of Bradford —Bradford
- £40,497 - £45,413 a year
- Full-time
- Engineering
- Master's degree
- Project management
8d
Lead Data Scientist
Jet2.com and Jet2holidays —Leeds
- Full-time
- Hybrid work
- Machine learning
- Agile
- Leadership
- Work from home
- Employee discount
Senior Data Scientist
Jet2.com and Jet2holidays —Leeds
- Up to £71,319 a year
- Full-time
- Hybrid work
- AWS
- Machine learning
- Employee discount
Head Of Data Science
Hermes Europe —Leeds
- £12.71 an hour
- Hybrid work
- Machine learning
- Team management
- AI
6d
Senior Research Fellow - Data Scientist/Epidemiologist
Sheffield Hallam University —Sheffield
- £46,049 - £58,225 a year
- Full-time
- University
9d
AI Specialist
Yorkshire Building Society —Leeds
- £53,000 - £75,000 a year
- Hybrid work
- Azure
- Mentoring
- AI
Global Ecommerce Data Scientist
ghd hair —Leeds
- Full-time
- Hybrid work
- Maths
- Machine learning
- Work from home
Quick apply
AI Research Engineer / Senior AI Research Engineer in Cancer Data Driven Detection
University of Sheffield —Sheffield
- £32,080 - £41,064 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
- Annual leave
- Employee discount
Senior Data Science Engineer
HippoDigital —Leeds
- £57,500 - £66,000 a year
- Hybrid work
- Mentoring
- In-person
- Employee discount
Data Science Manager
Entain —Leeds
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- Bachelor's degree
Senior Consultant / Consultant - Geospatial and Data Analytics
Steer —Leeds
- £35,000 - £45,000 a year
- Full-time
- Hybrid work
- Analysis skills
- Annual leave
- Employee assistance programme
Quick apply
Project Controls Analytics Consultant
AECOM —Leeds
- Full-time
- Hybrid work
- Engineering
- Data analysis skills
- Analysis skills
Senior Data & Analytics Engineer
Jet2.com and Jet2holidays —Leeds
- Full-time
- Communication skills
Senior Data Science Manager
NHS England —City and Borough of Leeds
- £66,582 - £77,368 a year
- Full-time
- Machine learning
- Software development
- AI
- Annual leave
3d
Research Associate in Machine Learning for Next-Generation Hardware
University of Sheffield —Sheffield
- £38,784 - £39,906 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Research
- Annual leave
- Employee discount

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data scientist jobs near wakefield

Data Scientist

Link Scheme Ltd
Harrogate

Quick apply

Job details

Permanent | Full-time
£39,000 - £49,000 a year
2 days ago

Benefits

Free parking
Health & wellbeing programme
Private dental insurance
Company pension
Work from home
Private medical insurance
Life insurance
On-site parking

Qualifications

ArcGIS
Report writing
Dashboard visualisation
Report generation
Stakeholder collaboration
Statistical analysis
Analysis skills
Machine learning
Machine learning modelling
Multidisciplinary collaboration
Data science
Data visualisation
Communication skills
Data Science

Full job description

Data Scientist

Remuneration: £39,000 - £49,000 per annum dependent upon experience.

Contract Length: Permanent.

Hours: Full time – 35 hours a week, Monday to Friday.

Location: Hybrid Working, with a minimum of one day a week in the Head Office located in Harrogate, North Yorkshire.

Candidates must be within reasonable commuting distance of Harrogate.

Who we are: LINK is a not-for-profit company governed by an independent Board and is the UK's largest cash machine network, connecting virtually all the UK’s ATMs and providing communities with access to cash through services such as cashback at retailers’ tills and Banking Hubs. While many consumers are now embracing digital payments, there are still millions of people who rely on cash every day. At LINK, we are passionate about protecting access to cash on the UK’s High Streets and ensuring it is maintained for as long as it is needed through the operation of our well-established Financial Inclusion Programme. LINK is regulated by the Payments Systems Regulator and the Bank of England and have a great track record of delivering results for communities.

What does the role involve?

To support LINK’s strategic use of data by applying data science, statistical analysis and automation techniques to generate timely, accurate and actionable insight. The role will help develop LINK’s data science capability, improve the efficiency and quality of analysis, and support evidence-based decision making across the business, including work relating to financial inclusion, coordinating body responsibilities and spatial analytics.

· Collect, Clean and Prepare data from multiple sources for analysis.

· Perform exploratory data analysis to identify trends and patterns.

· Support in the development of LINK’s data science capacity and incorporate into relevant business processes.

· Support the development of machine learning and statistical models.

· Provide timely, accurate and efficient analysis via reports and dashboards to the business and external stakeholders.

· Automate routine tasks to improve efficiency and accuracy.

· Collaborate with cross-functional teams to align data science work with organisational goals and overall data strategy.

· Provide data and insight which support the development of LINK’s financial inclusion and coordinating body work.

· Support Senior Spatial Analyst with Data Science requirements and spatial analytics tasks using ArcGis.

· Advise on appropriate improvements to data management and analysis, including soft-ware requirements, training requirements and internal resources.

· Maintain knowledge of industry best practice and seek to implement new solutions where relevant.

What will I need to know?

Experience

Essential

· Minimum of 2 years’ experience in a data science, analytics or similar analytical role.

· Experience collecting, cleaning, transforming and preparing data from multiple sources for analysis.

· Strong analytical skills, with experience using statistical methods, exploratory data analysis and data visualisation to identify trends, patterns and insights.

· Practical experience with analytical programming tools such as Python, R, SQL or equivalent data analysis software.

· Experience producing clear reports, dashboards and analysis for technical and non-technical audiences.

Desirable

· Knowledge of spatial analysis or GIS tools, such as ArcGIS.

· Understanding of machine learning concepts and experience supporting the development, testing or application of predictive or statistical models.

· Ability to automate routine data tasks to improve efficiency, consistency and accuracy.

Skills

Essential

· Good communication and stakeholder management skills, with the ability to work collaboratively across teams.

· Ability to work effectively both independently and as part of a team, sharing knowledge and contributing constructively to group discussions and problem solving.

· Adaptable and proactive approach, with a willingness to learn, respond positively to feedback and support continuous improvement within the Data team.

· Highly organised, with strong attention to detail and the ability to manage competing priorities.

What is in it for me?

You will be joining a not-for-profit business with a lovely working culture, and our employees are at the centre of our focus.

In addition to the base salary, LINK operates a bonus scheme and offers a wide range of employee benefits including group life and income protection, company pension scheme, private medical and dental insurance, hybrid working and learning opportunities. Our Harrogate office has an on-site café, gym, free car parking including electric charging points and bike parking facilities as well.

We will be interviewing as we receive CVs so if you are interested in this role, please apply as soon as possible.

Job Types: Full-time, Permanent

Pay: £39,000.00-£49,000.00 per year

Benefits:

Company pension
Free parking
Health & wellbeing programme
Life insurance
On-site parking
Private medical insurance
Work from home

Application question(s):

Do you live within reasonable commuting distance of Harrogate, West Yorkshire? Please provide details.
Our office is located in Harrogate, and this role requires regular on-site attendance. Are you able to reliably travel to and work from Harrogate for the required working pattern? Please provide brief details.

Experience:

data science, analytics or similar analytical: 2 years (required)

Work authorisation:

United Kingdom (required)

Work Location: Hybrid remote in Harrogate HG3

Quick apply

Refine Your Search

data scientist jobs in wakefield

Data Scientist

Technology Specialist -Data Science

Senior Data Scientist

Lead Data Scientist

Senior Data Scientist

Biomedical Systems & AI Developer (KTP Associate)

Lead Data Scientist

Senior Data Scientist

Head Of Data Science

Senior Research Fellow - Data Scientist/Epidemiologist

AI Specialist

Global Ecommerce Data Scientist

AI Research Engineer / Senior AI Research Engineer in Cancer Data Driven Detection

Senior Data Science Engineer

Data Science Manager

Senior Consultant / Consultant - Geospatial and Data Analytics

Project Controls Analytics Consultant

Senior Data & Analytics Engineer

Senior Data Science Manager

Research Associate in Machine Learning for Next-Generation Hardware

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