Lead data scientist Work, Jobs in Barkingside, Gtl (with Salaries)

Lead Data Scientist - Trust and Safety
Wise Australia Investments —London
- £85,000 - £115,000 a year
- Java
- SQL
- Presentation skills
Lead Data Scientist
Day30 —London
- Up to £95,000 a year
- Full-time
- Hybrid work
- Master's degree
- Bachelor's degree
- Machine learning
- Annual leave
Quick apply
Lead Data Scientist – Energy Domain
Capco —London
- Full-time
- Hybrid work
- Azure
- Machine learning
- Mentoring
- Annual leave
- Life insurance
Quick apply
Lead Data Scientist
Greyparrot —London
- Full-time
- Hybrid work
- SQL
- Bachelor's degree
- Python
Quick apply
Responsible AI, Lead Applied Scientist - X Delivery
Boston Consulting Group —London
- Full-time
- Azure
- Doctoral degree
- Computer Science
Lead Data Scientist (Classical ML, LLMs & AI Agents)
Talan —London
- Full-time
- Hybrid work
- Azure
- Business development
- Machine learning
- Employee assistance programme
Quick apply
Lead Data Scientist - Telematics
Zego —London
- Full-time
- Hybrid work
- Engineering
- Master's degree
- SQL
Quick apply
Lead Data Scientist
IAG Loyalty —London
- Full-time
- SQL
- Machine learning
- Leadership
9d
Lead Data Scientist
AWTG —London
- Machine learning
- Mentoring
- AI
Lead Data Scientist
Informed Solutions —London
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Master's degree
- Gym membership
- Referral programme
Quick apply
Assistant Manager / Manager, Data Scientist, Simulation and Insights, Strategy & Business Design
Deloitte —London
- Hybrid work
- Data analysis skills
- Analysis skills
- Machine learning
Advanced Specialist, Data Scientist
Pearson —London
- Hybrid work
- Azure
- Master's degree
- SQL
Principal Data Scientist
CoMind —London
- £136,000 - £190,000 a year
- Full-time
- IT
- AI
- Leadership
- Employee discount
Data Scientist Geo Holdout & Incrementality (12 month FTC)
WPP Media —London
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
- Annual leave
- Employee discount
8d
Data Scientist (Portfolio Analytics)
Lloyd's of London —London
- Full-time
- Hybrid work
- SQL
- Communication skills
- Python
- Employee discount
- Gym membership
Data Science Lead
Houseful —London
- Full-time
- Hybrid work
- SQL
- Python
- Annual leave
- Referral programme
Quick apply
Data Scientist
Lendable —London
- Full-time
- Hybrid work
- SQL
- Machine learning
- Communication skills
- Referral programme
14d
Physical AI Data Scientist - QuantumBlack Labs
McKinsey & Company —London
- Microsoft Powerpoint
- Doctoral degree
- Laboratory experience
Senior/Lead Data Scientist
Mention Me —London
- Full-time
- Hybrid work
- Master's degree
- SQL
- AWS
- Annual leave
- Life insurance
Quick apply
Data Scientist
Government Office for Science —London
- £36,735 - £43,020 a year
- Part-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
- Annual leave
- Employee discount
8d

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Lead Data Scientist - Trust and Safety

Wise Australia Investments
London

Apply Now

Job details

£85,000 - £115,000 a year

Qualifications

Spark
R
Git
Java
SQL
Statistical analysis
Presentation skills
Machine learning
GitHub
Data science
Clustering
Communication skills
Python
Hadoop

Full job description

Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.

Job Description

We’re looking for a Lead Data Scientist to join our growing Trust & Safety Team in London.

This role is a unique opportunity to work behind the scenes of company transactions, understand how we mitigate risk and at the same time provide our customers with the seamless service they deserve. What you build will have a direct impact on Wise’s mission and millions of our customers.

As a Lead Data Scientist in the Trust & Safety team, you will leverage your expertise in data science to innovate and deploy models that detect and prevent fraudulent activities. Your work will directly influence our ability to safeguard our platform against unauthorized access and enhance our overall security framework. You will collaborate closely with cross-functional teams, including engineering, product, and security operations.

Key Responsibilities:

Lead the development and deployment of advanced machine learning models to detect, predict, and mitigate account takeover attempts.
Analyze large volumes of data to identify trends, patterns, and anomalies associated with potential ATO and Send Scam threats.
Design and implement experiments to evaluate the effectiveness of fraud detection systems and continuously improve their performance.
Collaborate with security analysts and engineers to translate business and security requirements into actionable data insights and solutions.
Develop robust data pipelines, algorithms, and tools to support real-time detection and response to ATO and Send Scam threats.
Stay informed about the latest advancements in data science, machine learning, and fraud prevention techniques to ensure state-of-the-art capabilities in ATO and Send Scam.
Mentor and guide junior data scientists, fostering a culture of collaboration and continuous learning within the team.

Qualifications

A bit about you:

Proven experience in a data science role with a focus on fraud detection, cybersecurity, or fin tech related domains
Have build machine learning models for Send Scam (Victim Identification) and Account Takeover (ATO)
Strong proficiency in machine learning frameworks and programming languages such as Python, R, or similar.
Experience working with large datasets and data processing technologies (e.g., Hadoop, Spark, SQL).
Familiarity with anomaly detection, supervised, unsupervised learning methods, deep learning, and graph based solutions
Demonstrated ability to work collaboratively in cross-functional teams and effectively communicate complex technical concepts to non-technical stakeholders.
A proactive, problem-solving mindset with a passion for protecting users from fraudulent activities.
You have a solid knowledge of Python, and are able to make and justify design decisions in your code. You know how to use Git to collaborate with others (e.g. opening Pull Requests on GitHub) and are able to review code. Ability to read through code, especially Java. Demonstrable experience collaborating with engineering on services;
You have experience with mining into event logs to identify patterns and associations
You are familiar with a range of model types, and know when and why to use gradient boosting, neural networks, regression, autoencoders, clustering or a blend of these
Experience with statistical analysis and good presentation skills to drive insight into action;
A strong product mindset with the ability to work independently in a cross-functional and cross-team environment;
Good communication skills and ability to get the point across to non-technical individuals;
Strong problem solving skills with the ability to help refine problem statements and figure out how to solve them.

Additional Information

We’re people without borders — without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you’re passionate about learning new things and keen to join our mission, you’ll fit right in.

Also, qualifications aren’t that important to us. If you’ve got great experience, and you’re great at articulating your thinking, we’d like to hear from you.

And because we believe that diverse teams build better products, we’d especially love to hear from you if you’re from an under-represented demographic.

For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

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Refine Your Search

lead data scientist jobs in barkingside, gtl

Lead Data Scientist - Trust and Safety

Lead Data Scientist

Lead Data Scientist – Energy Domain

Lead Data Scientist

Responsible AI, Lead Applied Scientist - X Delivery

Lead Data Scientist (Classical ML, LLMs & AI Agents)

Lead Data Scientist - Telematics

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Assistant Manager / Manager, Data Scientist, Simulation and Insights, Strategy & Business Design

Advanced Specialist, Data Scientist

Principal Data Scientist

Data Scientist Geo Holdout & Incrementality (12 month FTC)

Data Scientist (Portfolio Analytics)

Data Science Lead

Data Scientist

Physical AI Data Scientist - QuantumBlack Labs

Senior/Lead Data Scientist

Data Scientist

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