Data scientists & Work, Jobs in Buckingham, Bkm (with Salaries)

Data Scientist
Billing Finance —Northampton
- £55,000 - £60,000 a year
- Hybrid work
- Machine learning
- Analytics
- Employee assistance programme
AI Data Adventurer Internship
Global Water Intelligence —Oxford
- £14.50 an hour
- Full-time
- University
- AI
- Internship
Machine Learning Scientist
AIOI NISSAY DOWA INSURANCE MANAGEMENT LIMITED (ANDIM) —Oxford
- Doctoral degree
- Computer Science
- Master's degree
- Annual leave
- Employee assistance programme
AI Analyst, Europe
Proforest —Oxford
- £30,000 - £35,000 a year
- Full-time
- Hybrid work
- Computer Science
- No degree
- Organisational skills
- Life insurance
Quick apply
8d
Research Fellow in Remote Sensing and AI
Cranfield University —Cranfield
- £38,655 - £46,492 a year
- Full-time
- Doctoral degree
- Research
- Analysis skills
9d
Machine Learning Engineer 1
AIOI NISSAY DOWA INSURANCE MANAGEMENT LIMITED (ANDIM) —Oxford
- Computer Science
- Master's degree
- Machine learning
- Annual leave
- Employee assistance programme
Applied Scientist — AI Studio
Wiley —Oxford
- £53,000.00 - £75,866.66 a year
- Full-time
- Doctoral degree
- Research
- Agile
Senior Bioinformatician in Single-cell and Spatial Multi-omics
University of Oxford —Oxford
- £39,424 - £53,483 a year
- Full-time
- Doctoral degree
- Software development
- AI
- Annual leave
12d
Data Scientist
Infleqtion —Kidlington
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- Travel
- Annual leave
- Work from home
Quick apply
8d
Postdoctoral Research Scientist in host genetics and data integration for liver cancer risk predication and early detection
University of Oxford —Oxford
- £39,424 - £47,779 a year
- Full-time
- Doctoral degree
- Research
- University
- Annual leave
- Employee discount
8d
Senior Data Scientist | S4 | Chief Data & AI Office | Milton Keynes
A01 Santander UK plc —Milton Keynes
- £76,000 - £114,000 a year
- Full-time
- Hybrid work
- Computer Science
- English
- Bachelor's degree
5d
Postdoctoral Research Associate in the Mathematical and Computational Foundations of Artificial Intelligence
University of Oxford —Oxford
- £41,636 - £47,779 a year
- Doctoral degree
- Research
- Maths
Product - Analytics Engineer
Whitbread —Houghton Regis
- £55,000 - £60,000 a year
- Full-time
- Hotel
- Mentoring
- Agile
- Employee discount
Quick apply
2d
Postdoctoral Data Scientist
University of Oxford —Oxford
- £39,424 - £46,476 a year
- Full-time
- Doctoral degree
- University
- Machine learning
12d
Senior Machine Learning Scientist
AIOI NISSAY DOWA INSURANCE MANAGEMENT LIMITED (ANDIM) —Oxford
- Doctoral degree
- Computer Science
- Research
- Annual leave
- Employee assistance programme
AI Product Lead
GXO Logistics —Northampton
- Up to £79,500 a year
- Full-time
- Machine learning
- Product management
- Travel
- Annual leave
- Employee assistance programme
1d
Data Science - Head of Data Science
Whitbread —Dunstable
- Full-time
- Hybrid work
- Machine learning
- AI
- Communication skills
Quick apply
1d
Commercial Analytics Manager - BPL
Barclays —Northampton
- Team management
- Mentoring
9d
Lead Machine Learning Engineer
AIOI NISSAY DOWA INSURANCE MANAGEMENT LIMITED (ANDIM) —Oxford
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Annual leave
- Employee assistance programme

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Data Scientist

Billing Finance
Northampton

Apply Now

Job details

£55,000 - £60,000 a year

Benefits

Company pension
Employee assistance programme
Paid volunteer time
Car scheme

Qualifications

Financial Conduct Authority guidelines
Data mining
Report generation
Stakeholder collaboration
Conduct risk analysis
Stakeholder liaison
Credit risk evaluation (Risk analysis)
Machine learning
Machine learning modelling
Risk management
Predictive analytics
Data science
Root cause analysis
Analytics

Full job description

Data Scientist

About You.

Are you a Data Scientist who's worked within a credit risk, lending, banking, fintech or consumer finance environment previously?
Can you create compelling reports that tell a story and explain complex data sets to all audiences?
Do you have the experience and drive to help establish and develop our data science and credit risk modelling capability from the ground up?

About the Role.

We're looking for a highly skilled and motivated Data Scientist to join us during an exciting time of Change and Transformation.

Reporting to the Credit Risk Manager and working closely with the Director of Credit Risk and Data Analytics, this is a unique opportunity to become one of the key architects of our future decisioning and risk management framework.

What You’ll Do.

You'll be responsible for developing our first generation of predictive credit risk models, including Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), application scorecards, affordability models and collections strategies.

You will work with large and complex datasets to identify opportunities that improve lending decisions, enhance customer outcomes and support sustainable portfolio growth.

Combining traditional data science techniques with practical commercial application, you'll leverage modern analytics, machine learning and AI-assisted development tools to accelerate model development, improve decision making and deliver tangible business value.

You'll collaborate with stakeholders across Credit Risk, Operations, Finance, Collections and Technology to deliver innovative, data-driven solutions that support the company's strategic objectives and will use your quantitative skills to deliver actionable insights to a variety of senior external and internal stakeholders.

Responsibilities

Design, develop, validate and monitor predictive credit risk models including but limited to ECL, pricing, forecasting and provisioning models.
Maintain application scorecards, affordability models and decisioning strategies that support responsible lending and portfolio growth.
Support the development of provisioning, forecasting and portfolio monitoring methodologies.
Analyse customer, bureau, affordability and behavioural data to identify trends, risks and opportunities.
Utilise machine learning and AI-assisted development techniques to accelerate model development and improve analytical efficiency.
Produce robust model documentation, validation reports and governance materials.
Work closely with Credit Risk, Operations, Transformation and Finance teams to translate business problems into analytical solutions.
Build scalable analytical processes using BigQuery, Python and Google Cloud technologies.
Develop clear and insightful visualisations and presentations for both technical and non-technical audiences.
Stay informed of industry best practice, emerging technologies and regulatory developments relevant to consumer credit risk modelling.
Collaborate with stakeholders across departments to understand their data needs and deliver tailored solutions.
Ensure data integrity and compliance with relevant regulations (e.g., GDPR).
Identifying and analysing causes of urgent defects and making predictions on likelihood of recurrence
Acting as an internal consultant to the business on data driven decision making and insights
Developing differentiated pricing models and educating stakeholders on findings
Discovering trends and patterns within complex data and present findings to stakeholders
Leveraging state-of-the-art data mining and machine learning tools and methodologies to drive improved business decisions
Documenting and articulate key learnings from the data mining exercises

Your Working Style and Experience.

You're proactive with excellent stakeholder managements skills, a confident presenter and someone who stays informed about emerging technologies and methodologies.

You've experience of using Python, a strong knowledge of SQL, a solid understanding of statistical modelling techniques and predictive analytics, and experience developing, validating or monitoring predictive models and scorecards.

About Billing Finance

We are a privately-run family owned vehicle financing Company based on the outskirts of Northampton. We focus on customers with non-standard credit profiles that may not fit the automated underwriting processes of other lenders. Our mission is to help get all our people, including customers and staff “where they need to be” by “putting them at the heart of everything we do”. We are entering an exciting phase of transformation and as a small company, this role will offer the successful candidate the opportunity to work across the whole customer journey cycle, and to directly see the impacts that they made.

Our values are:

We are responsible – We are conscious of our impact on people and planet

We care about you – We are kind and compassionate with our customers and with each other

We work with you – We support financial wellbeing for our customers and the wider community

The successful candidate will not only have a successful and fulfilling career with us but will also receive a fantastic range of benefits:

Discretionary bonus scheme

Electric Vehicle salary sacrifice scheme

Pension salary sacrifice scheme

Private Medical

Income Protection

Hybrid working

Employee Assistance Programme

Annual £200 personal growth fund

Paid volunteering days

The Recruitment Process and How We Will Use Your Data

The recruitment process will involve obtaining information and/or exchanging it with the following organisations to assist with our pre-employment checks prior to interview.

Credit Reference Agencies – to complete a soft credit check to understand your financial history

To complete these checks, you will be asked to provide your address history for the past six years, along with your full name and date of birth.

The successful candidate will be required to undergo a Basic DBS check to comply with our FCA compliance framework. A satisfactory Basic Disclosure showing no unspent convictions is a prerequisite for this position.

We may also ask for proof of your right to work status or evidence of any qualification or experience prior to being offered employment. Further information on how we collect and use your data during the recruitment process can be found in our Privacy Policy herehttps://billingfinance.co.uk/privacy-policy/

Billing Finance is an equal opportunities employer, and we understand that for some candidates to perform their best they may need some reasonable adjustments. If we can make your application journey with us more suitable for you, please do let us know and we will endeavour to help.

Location

Northampton

Department

Credit Risk & Data Analytics

Job Title

Data Scientist

Salary

£55,000 - £60,000 per annum

City

Northampton

Apply Now

Refine Your Search

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