Data scientist Work, Jobs in Bank Hall (with Salaries)

Geospatial Data Scientist
JBA Risk Management —Skipton
- Full-time
- Hybrid work
- Master's degree
- Bachelor's degree
- Machine learning
- Free parking
- Profit sharing
Quick apply
4d
Senior Data Scientist
Yorkshire Water —Bradford
- £6,000 - £73,000 a year
- Full-time
- Hybrid work
- Azure
- Agile
- Communication skills
- Annual leave
- Flexible schedule
DATA ANALYSTS
i5 Solutions Europe Limited —Manchester
- Computer Science
- SQL
- Bachelor's degree
Senior Data Scientist
Autotrader —Manchester
- £50,000 - £70,000 a year
- Machine learning
Senior Consultant / Consultant - Geospatial and Data Analytics
Steer —Manchester
- £35,000 - £45,000 a year
- Full-time
- Hybrid work
- Analysis skills
- Annual leave
- Employee assistance programme
Quick apply
Senior Data Scientist
Naimuri —Salford
- Full-time
- Hybrid work
- Machine learning
- Mentoring
- In-person
- Free parking
- Store discount
AI Compliance Officer
The Bank of New York Mellon Corporation —Manchester
- Full-time
- Financial services
- AI
- Communication skills
Senior Data Scientist
Code First Girls —Manchester
- Full-time
- Hybrid work
- Machine learning
- AI
- Leadership
Quick apply
Senior Data Scientist
AECOM —Manchester
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
14d
Asset Analytics Manager
ENWL —Preston
- £59,165 - £67,107 a year
- Machine learning
- Analytics
- Annual leave
- Employee assistance programme
Deputy Director, Head of AI Assurance
HM Revenue and Customs —Manchester
- £86,000 - £110,000 a year
- Full-time
- Bar
- Presentation skills
- AI
Senior AI/ML Engineer
Salford Council —Swinton
- £50,269 - £53,460 a year
- Azure
- Analysis skills
- Machine learning
1d
Insight & Analytics Manager
Capita —Darwen
- Full-time
- Hybrid work
- Analysis skills
- AI
- Leadership
3d
Lecturer / Senior Lecturer in Artificial Intelligence for Industry Experts
Manchester Metropolitan University —Manchester
- £41,064 - £61,759 a year
- Full-time
- Doctoral degree
- Computer Science
- University
- Life insurance
Lead Data Scientist, Sports
bet365 —Manchester
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Research
Quick apply
Lecturer or Senior Lecturer in Artificial Intelligence/Machine Learning
The University of Manchester —Manchester
- £47,389 - £71,566 a year
- Hybrid work
- Doctoral degree
- Computer Science
- Research
- Annual leave
Research Associate for Machine Learning Modelling for Next-Level Fast Nonlinear Wave-Structure Interaction
The University of Manchester —Manchester
- £37,694 - £46,049 a year
- Hybrid work
- Doctoral degree
- Analysis skills
- University
- Annual leave
- Employee assistance programme
7d
Senior ML Product Manager - Trips Data and AI
Booking.com —Manchester
- Full-time
- Hybrid work
- Machine learning
- Product management
- Mentoring
- Relocation assistance
- Employee assistance programme
7d
Manager, Data Science, AI & Data, AI Scaling & Transformation
Deloitte —Manchester
- Hybrid work
- Machine learning
- Agile
- AI
Senior AI/ML Engineer
Code First Girls —Manchester
- Full-time
- Hybrid work
- Machine learning
- Software development
- AI
Quick apply

I want to receive the latest job alerts for data scientist in bank hall

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

data scientist jobs near bank hall

Geospatial Data Scientist

JBA Risk Management
Skipton

Quick apply

Job details

Permanent | Full-time
4 days ago

Benefits

Free parking
Profit sharing
Cycle to work scheme
Flexitime
Company pension
On-site parking

Qualifications

Data structures
Master's degree
Bachelor's degree
Machine learning
Machine learning modelling
Agile
Multidisciplinary collaboration
Data science
Communication skills

Full job description

All applications must be made via JBA’s online recruitment portal at: https://jbariskmanagement.current-vacancies.com/Jobs/Advert/4292145?cid=3213&t=Geospatial-Data-Scientist

Join our Geospatial Sciences team at JBA Risk Management.

Are you a talented Geospatial Data Scientist with experience in Python, machine learning and working with geospatial data? Are you passionate about making a real impact and helping our clients understand our data? At JBA Risk Management, we are market leaders in flood-related data, models and services. Join us to shape the future of flood modelling and support better decisions across global re/insurance, property and public sectors.

This full-time role will be in our modern, eco-friendly offices at Broughton Park, near Skipton, North Yorkshire, BD23 3FD. Our team has adopted a hybrid working approach with some requirement to work both from home and in the office. We supply basic equipment to support this. You will need to be in the Skipton office a minimum of 3 days a week.

You will be joining an award-winning environmental and engineering consultancy which puts innovation, sustainability and resilience at the heart of its work. We are independent and staff-owned under a stewardship model which drives long term decision making and investment. We have offices in the UK, Ireland, Romania, India, Singapore and Australia.

Our people are all important and we invest heavily in life-long learning and skills development. We support hybrid working which provides for greater flexibility with the way that we work

As a Geospatial Data Scientist, you will be joining our growing team to help deliver on some of our leading and most challenging projects. Collaborating across teams of experts in natural sciences, statistics and software engineering, you will be responsible for tasks such as:

· Contributing to the development of reproducible data workflows

· Developing and implementing machine learning models for various projects

· Handle data pre-processing tasks such as data cleaning, transformation, normalization, and feature engineering to prepare data for model training

· Analyse data and identify patterns to improve model accuracy

· Collaborate with cross-functional teams to develop and deploy models

· Participate in quality assurance of data outputs

· Explore new data sources and methods under guidance

· Work with environmental and geospatial datasets

· Assist in presenting results to internal stakeholders, collaborators and occasionally clients

· Grow your understanding of JBA’s data and methods.

At JBA, you will benefit from ongoing training, opportunities to participate in relevant conferences, and collaboration with leading experts to support your professional growth and career advancement within our dynamic company.

The team member we are looking for:

We are seeking a candidate who aligns well with our company values. We prioritize individuals who take responsibility, foster trust, and demonstrate innovation. We value diversity and offer a supportive, challenging environment dedicated to consistently delivering high-quality, meaningful work.

A graduate degree (Bachelor's, Master's, or equivalent) in a scientific subject with a strong numerical component, or equivalent professional experience is required.

Essential attributes for the role:

· Familiarity with data analysis techniques, models and visualization tools (Pandas, Matplotlib, Plotly)

· Familiarity with database management systems

· Strong foundation in machine learning algorithms, statistics, and data structures

· Proficiency in programming languages and frameworks (Python, PyTorch)

· Experience with data pre-processing, feature engineering, and model evaluation techniques

· Willingness to stay up to date with the latest ML and AI developments

· Strong problem-solving skills and attention to detail

· Excellent communication and collaboration skills, including explaining technical work to non-technical audiences and publishing scientific discoveries to the global audience

· Accountability and reliability in delivering results

· Interest in real-world environmental and natural hazard problems.

Desirable attributes for the role:

· Experience working with geospatial or environmental datasets

· Practical experience applying 2D hydraulic models to flood risk assessments

· Experience developing embedded ML applications (C++, CUDA, TensorRT)

· Knowledge of natural hazard risk

· Ability to work within Agile frameworks, prioritizing tasks and delivering efficiently

· Openness to experimenting with new ideas and technologies

Location:

Broughton Park, Skipton, North Yorkshire, BD23 3FD.

Contact:

For further information or an informal discussion about this position, please contact James Warford-Slater on 01756 799919.

Applications:

Only applications made via JBA’s online recruitment portal will be considered – our current vacancies can be found at: https://jbagroup.current-vacancies.com/Careers/JBA-Group-Vacancy-Search-Page-3213

Benefits:

Company pension
Cycle to work scheme
Flexitime
Free parking
On-site parking
Profit sharing

Ability to commute/relocate:

Skipton BD23 3FD: reliably commute or plan to relocate before starting work (required)

Work authorisation:

United Kingdom (required)

Work Location: Hybrid remote in Skipton BD23 3FD

Quick apply

Refine Your Search

data scientist jobs in bank hall

Geospatial Data Scientist

Senior Data Scientist

DATA ANALYSTS

Senior Data Scientist

Senior Consultant / Consultant - Geospatial and Data Analytics

Senior Data Scientist

AI Compliance Officer

Senior Data Scientist

Senior Data Scientist

Asset Analytics Manager

Deputy Director, Head of AI Assurance

Senior AI/ML Engineer

Insight & Analytics Manager

Lecturer / Senior Lecturer in Artificial Intelligence for Industry Experts

Lead Data Scientist, Sports

Lecturer or Senior Lecturer in Artificial Intelligence/Machine Learning

Research Associate for Machine Learning Modelling for Next-Level Fast Nonlinear Wave-Structure Interaction

Senior ML Product Manager - Trips Data and AI

Manager, Data Science, AI & Data, AI Scaling & Transformation

Senior AI/ML Engineer

I want to receive the latest job alerts for data scientist in bank hall

Related Searches

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected