Lead Data Scientist
London / £80000 - £100000 annum
INFO
£80000 - £100000
LOCATION
London
Permanent
LEAD DATA SCIENTIST - CREDIT
£90,000
HYBRID - UK
This role does not offer sponsorship.
This is a fantastic opportunity to lead credit risk decisioning at a fast-growing fintech. You will be the go-to expert for credit strategy, owning model development and deployment, and helping shape the company's lending performance.
THE COMPANY
This company is an ambitious fintech operating in the consumer finance space, providing oversees payments and credit cards. With a strong data-driven culture and a collaborative team structure, they are scaling quickly and investing heavily in their data capabilities to drive better customer and business outcomes.
THE ROLE
You can expect to be involved in the following day-to-day:
Lead the end-to-end lifecycle of credit and affordability models, from data sourcing to production monitoring.
Work with a range of data types, including bureau, open banking, and behavioural data.
Own the development and execution of decisioning strategies, including champion/challenger experiments.
Analyse portfolio performance and recommend strategic changes based on data insights.
Partner with engineering teams to deploy models into production systems.
Work closely with key stakeholders to align data-driven decisions with business goals.
YOUR SKILLS AND EXPERIENCE
5-7 years of experience in a consumer credit environment, particularly in decision science or data science.
Strong technical skills in Python (including libraries like scikit-learn, XGBoost, LightGBM).
Experience working with transactional data and credit bureau sources.
Familiarity with model monitoring and performance tracking frameworks.
Proficient SQL skills for querying and data transformation.
Bonus: experience with unsupervised learning techniques, alternative credit data, or working in a startup/scale-up setting.
THE BENEFITS
Competitive salary
25 days holiday (+ bank holidays)
Private health insurance
5% pension match
Hybrid working (UK-based)
HOW TO APPLY
Please register your interest by submitting your CV via the Apply link on this page.
CONTACT
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Data Scientist
New York
$75 - $85
+ Life Science Analytics
ContractNew York
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Data Scientist
12-Month Contract
$75-$85/hr
Are you a skilled Machine Learning Engineer with a passion for cutting-edge technologies? Join this innovative team where you can demonstrate your expertise in machine learning techniques, probabilistic reasoning, and optimization.
Key Responsibilities:
- Create interpretable models and implement advanced algorithms for production use.
- Demonstrate hands-on experience in supervised and unsupervised machine learning techniques.
- Exhibit strong skills in Python, R, Keras, TensorFlow, and .NET integration.
- Act as a key contributor throughout all phases of the design and development lifecycle for analytic applications, utilizing various technology platforms.
- Develop and implement analytic solutions on Amazon or Azure cloud platforms, working with a variety of databases including relational, in-memory, NoSQL, document, and graph databases.
- Utilize strong analytical skills to translate complex business requirements into effective architectural solutions.
- Design and implement data pipelines for both batch and real-time analytical model consumption.
- Demonstrate experience with APIs, web services, dimensional data modeling, and data transformation.
- Show proficiency in SQL with a broad understanding of language constructs.
Requirements:
- Familiarity with data integration, ETL, and ELT tools
- Experience with Power BI, particularly in integrating machine learning capabilities.
- Hands-on experience in Azure environments, including Azure Machine Learning.
- Understanding of DevOps practices, CI/CD processes, and agile methodologies, including tools like Git and Azure DevOps.
To Apply for this Job Click Here
Machine Learning Engineer (Life Sciences)
Boston
$90 - $100
+ Life Science Analytics
ContractBoston, Massachusetts
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Machine Learning Engineer (Life Sciences)
12-Month Contract
Hybrid in Boston, MA
We are working with a well-established Life Sciences company whose mission is to transform the lives of people with serious diseases. Their team is seeking an MLE to build and scale the machine learning infrastructure behind their next-generation therapeutic discovery platforms. You’ll work at the intersection of cutting-edge ML and translational science to accelerate the development of life-changing treatments for patients worldwide.
Responsibilities:
- Architect and implement ML systems that support therapeutic discovery platforms, with a focus on performance, scalability, and reliability in a clinical research environment.
- Analyze and optimize machine learning workflows by identifying bottlenecks and developing solutions to improve efficiency and throughput.
- Establish MLOps best practices across the organization, including experiment tracking, model versioning, and automated deployment pipelines.
- Lead the integration of ML systems with broader software and data infrastructure to enable seamless data flow and interoperability across the discovery pipeline.
Requirements:
- Demonstrated experience designing, building, and optimizing end-to-end machine learning systems, particularly for biological or clinical research data.
- Deep understanding of machine learning techniques, including experience applying deep learning to complex, high-dimensional biological datasets.
- Strong domain knowledge in areas such as cell biology, genetics, immunology, or related fields within life sciences or biomedical research.
- Advanced proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
- Proven track record of implementing robust data infrastructure and tooling to support scalable ML workflows in a scientific or healthcare setting.
To Apply for this Job Click Here
DevOps/Software Engineer
New York
$70 - $85
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Key Responsibilities
Develop, implement, and maintain automated build and deployment pipelines using a comprehensive set of cloud-based tools.
Manage and support containerized development environments that interact with physical hardware components.
Identify and resolve issues related to application builds and deployments in a microservices-based system primarily built with Python and C++.
Collaborate closely with software developers to understand and support a large and complex codebase used in an advanced hardware-integrated system.
Work independently by utilising internal documentation and existing working examples to guide progress with minimal direct oversight.
Required Qualifications
A minimum of five years of experience in DevOps, Systems Engineering, or a similar technical discipline.
Practical experience with containerization tools, cloud infrastructure, and automated deployment pipelines; familiarity with TypeScript-based systems is preferred.
Strong foundational understanding of software development, including algorithms and computer science fundamentals. Proficiency in at least one programming language such as Python, C++, or similar.
Preferred Qualifications
Experience working with robotics, embedded systems, or connected device software.
Familiarity with infrastructure automation and configuration management tools such as Terraform or Ansible.
Exposure to low-level container tooling such as runc.
Understanding of microservice-based architectures and distributed systems.
Prior work in environments using Agile or hybrid development methodologies.
Experience with observability platforms such as Prometheus, Grafana, or a major cloud provider’s monitoring tools.
Demonstrated interest in growing software engineering capabilities.
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Salesforce Architect
New York
$100 - $115
+ Advanced Analytics & Marketing Insights
PermanentNew York
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About the Role:
We are seeking a highly experienced Salesforce Architect with deep expertise in Financial Services Cloud (FSC) to join our team on a 6-month contract. This role will support the strategic design, implementation, and optimization of Salesforce FSC across business units in the financial services domain. The ideal candidate will possess a strong understanding of financial advisory work flows, regulatory requirements, and Salesforce best practices.
Key Responsibilities:
-
Serve as the Salesforce architectural lead for the FSC implementation and enhancement projects.
-
Translate Business requirements into scalable and secure Salesforce FSC solutions.
-
Design and document end-to-end architecture including data models, integration patterns, and application components.
-
Collaborate with stakeholders across business and IT to define a roadmap aligned with business priorities.
Contract Terms:
-
Type: W2
-
Compensation: $100-115 P/H
-
Location: NYC
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Applied NLP/LLM Scientist
New York
$200000 - $220000
+ Data Science & AI
PermanentNew York
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Applied NLP/LLM Scientist
Location: New York – (On-site)
Compensation: $180,000 – $220,000 base salary + Equity
About the Company:
We are working with a pioneering fintech, as systems face mounting strain from increased complexity and a shrinking talent pool, there’s a growing need for tools that can adapt, learn, and act independently. Their platform introduces AI agents designed to support experts by handling routine tasks, adapting to diverse workflows, and freeing up time for more strategic work. Already proving effective in demanding environments, it’s now scaling quickly, reshaping how foundational work gets done in a rapidly evolving economy.
THE ROLE
As an Applied AI/NLP Scientist, you will be central to developing and deploying advanced natural language processing solutions that tackle complex challenges in the legal-financial domain. Reporting to senior technical leadership, your work will span early-stage research through production-grade implementation.
Key Responsibilities:
- AI Model Innovation: Design and implement novel NLP and LLM architectures tailored for domain-specific applications across legal and financial datasets.
- Research to Production: Own projects from prototyping through production, leading 0-to-1 development of scalable NLP systems.
- Model Optimization: Enhance model performance through fine-tuning, prompt engineering, retrieval augmentation, and inference optimization.
- Cross-Functional Collaboration: Work closely with product, engineering, and executive teams to align AI capabilities with strategic goals.
- Thought Leadership: Help shape internal best practices in applied NLP/LLM development, and contribute to research papers and IP generation.
- Mentorship & Guidance: Provide technical insight and mentorship to junior researchers and engineers.
YOUR SKILLS AND EXPERIENCE
We’re seeking an experienced, hands-on NLP practitioner with a deep understanding of AI system development:
- 2-8 years of professional experience in applied NLP or LLM-based system development.
- Strong foundation in building and deploying NLP models in production settings.
- Proficiency with Python and modern ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy, etc.).
- Demonstrated experience scaling models across large, unstructured datasets.
- Applied research background with a proven track record of translating research into real-world tools and platforms.
- Deep understanding of LLM architectures, fine-tuning, prompt engineering, and retrieval-augmented generation (RAG).
- Excellent communication skills and comfort working in agile, high-ownership environments.
- PhD or Master’s degree in Computer Science, AI, Computational Linguistics, or related field (PhD preferred).
- Publication record in respected AI/NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR) is highly desirable.
THE BENEFITS
- Competitive Compensation: Base salary of $180,000 – $220,000 + performance bonus
- Innovation Ownership: Drive the development of novel NLP applications and contribute to IP
- Remote Flexibility: Work from anywhere in the U.S.
- Full Benefits: Health, dental, vision, 401(k), generous PTO, and more
HOW TO APPLY
To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page
To Apply for this Job Click Here
Data Architect
North London
£80000 - £90000
+ Data Engineering
PermanentNorth London, London
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DATA ARCHITECT
NORTH LONDON – 3 DAYS PER WEEK
£90,000
Are you a seasoned Data Architect with a passion for designing robust and scalable data solutions in a dynamic B2C environment? This is your chance to join a globally recognised sporting institution, directly impacting how they engage with their worldwide fanbase. We’re looking for a leader who can drive their data strategy forward, blending strong technical expertise with exceptional people skills.
THE COMPANY:
The business a leading sport institution with a rich history and a worldwide fanbase. Their commercial success is intricately linked to performance; when they’re at the top, fan engagement soars, merchandise sales increase, and tickets are in high demand. They’ve seen commercial growth in recent years, building on a period of stability brought by our current leadership.
You’ll find a unique blend of experience and fresh perspectives here. While the business grows, many colleagues have dedicated decades to the organisation, creating a fantastic mix of old and new. While an interest in our sport is helpful, it’s certainly not essential. The team comprises ardent supporters, general sports enthusiasts, and those who simply appreciate a thriving business environment.
THE ROLE:
You’ll join a team of six, comprising a Data Product Owner, Data Analysts and their CRM Analysts. This team is set to expand to nine people, so your leadership and mentorship will be key to the success.
This is a strategic role that puts data at the heart of their supporter-first strategy. You’ll be instrumental in capturing organisational data needs, translating business requirements into clear architectural designs, and articulating the ‘why’ behind data initiatives. While a strong technical background is crucial, this role is also very much business and people-focused, including conducting performance reviews for your team.
The Azure data warehouse has been built in the last few years, which is robust and provides data but this needs improving. They’re also looking to add Databricks, with Unity Catalog, and are keen to optimise its use. They’re moving away from a monolithic stack, adopting GraphQL for the new digital platforms, which will feature ML-driven content recommendations. You’ll take ownership of the data architecture, working closely with our internal IT and DevOps teams, evolving it from its current state to meet our ambitious future goals.
YOUR SKILLS AND EXPERIENCE:
The ideal Data Architect will have:
- Essential Technologies: Strong hands-on experience with Azure, Databricks, and Microsoft Dynamics.
- Industry Experience: Proven track record in B2C environments such as retail, entertainment, or media.
- Skills: A deep interest in the data element, coupled with a solid engineering background and demonstrable leadership abilities.
- Tenure: We value stability in previous roles; any shorter tenures would be explored during the interview process.
HOW TO APPLY:
Please register your interest by sending your CV via the Apply link on this page.
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Graduate Software Engineer
London
£35000 - £40000
+ Data Engineering
PermanentLondon
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GRADUATE SOFTWARE ENGINEER
LONDON
£40,000
THE COMPANY
This fast-growing digital insurance scaleup is transforming the industry with a customer-first approach-bringing simplicity, transparency, and affordability to rental, home, and travel insurance. With over 100,000 customers and ambitious plans to launch new products, your work here will directly shape how people protect the things they love most.
THE ROLE
As a Graduate Software Engineer, you will be hands-on in designing, building, and scaling products that redefine what modern insurance looks like. You’ll join a cross-functional pod of engineers and collaborate to solve real customer problems and influence product direction from day one.
Specifically, you can expect to be involved in the following:
- Building responsive web applications using Angular (modern)
- Developing scalable Python microservices, containerised with Docker
- Working on cloud infrastructure with Kubernetes on AWS
- Helping to expand the product portfolio during a key period of rapid growth
SKILLS AND EXPERIENCE
The successful Graduate Software Engineer will have the following skills and experience:
- Degree in Computer Science or another STEM field (1st or Distinction highly preferred)
- Demonstrated experience via GitHub, side projects, internships, or previous roles
- Effective communication and collaboration skills-this is a sociable, team-driven environment
- Passion for building simple, user-friendly products
- Fast learner with the ability to prioritise and work flexibly across multiple projects
BENEFITS
The successful Graduate Software Engineer will receive the following benefits:
- Salary up to £40,000
- Hybrid working, 4 days in the office, 1 WFH
- Benefits package
- Opportunity to learn and upskill in a high bar tech driven scale up
HOW TO APPLY
Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.
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Graduate Software Engineer (Full Stack)
London
£40000 - £60000
+ Data Engineering
PermanentLondon
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Role: (Graduate) Software Engineer – Full Stack
Salary: £40,000 -£60,000
Location: Central London – 4 days per week in-office
Overview
Our client is a rapidly growing digital insurance provider on a mission to simplify and modernise the insurance experience. Backed by £43m in funding and with over 300,000 customers, they’re entering a key period of product expansion. They’re looking for a Software Engineer (Full Stack) to help shape and scale their platform as they continue to grow.
Key Responsibilities
- Deliver high-impact features and lead cross-functional projects
- Collaborate with Product, Data, and Commercial teams to build user-first solutions
- Tackle meaningful, end-to-end challenges across the stack
- Influence platform architecture and engineering practices
- Maintain strong standards through testing, peer reviews, and clean code
- Contribute to product and team direction in a high-growth environment
Ideal Candidate
- 1-3 years of full-stack engineering experience
- Comfortable across frontend and backend (Python and Angular preferred)
- Strong software engineering fundamentals and a quality-focused mindset
- Experience working collaboratively in cross-functional teams
- Curious, proactive, and excited by ownership and pace
- Strong communicator who values team culture and clarity
Tech Stack / Tools
- Python (microservices)
- Angular (modern) (Open to React, Vue, Next.js and others)
- Russell Group University Graduate (Computer Science or STEM Degree)
Benefits
- Rapid progression
- 25 days holiday + public holidays
- Dedicated development budget & senior mentoring
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Senior Data Analyst
Reading
£45000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentReading, Berkshire
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SENIOR DATA ANALYST
READING
UP TO £60,000
Join a fast-moving data-driven company that’s leveraging millions of survey responses to generate real-time insights for clients across sectors. This is a high-impact Senior Data Analyst role where your work will directly influence trading outcomes and commercial performance. You’ll work closely with Analysts, Scientists, Engineers, and Developers, turning complex datasets into clear actions that drive results.
THE ROLE:
As a Senior Data Analyst, you will:
- Partner with Commercial, Data Science, and Engineering teams to uncover key drivers of trading performance.
- Analyse large-scale datasets from surveys, clients, and 3rd party panels to test fast-evolving hypotheses.
- Design and automate reporting processes, bringing visibility to crucial metrics and freeing teams to act on what matters most.
- Build statistical models and algorithms to detect patterns and opportunities for optimisation.
- Create compelling data visualisations using Grafana and Power BI to track performance in real time.
- Communicate complex analytical findings in clear, actionable terms for stakeholders across the business.
YOUR SKILLS AND EXPERIENCE:
The ideal Senior Data Analyst will have:
- Proficiency in Python or R, with hands-on experience building analytical models.
- Strong knowledge of statistical techniques, from regressions to machine learning algorithms.
- Excellent SQL and data manipulation skills, with experience working on large, complex datasets.
- Familiarity with cloud data platforms such as AWS, Azure, or Redshift.
- A creative, insight-driven approach to data visualisation, using Grafana, Power BI, or similar tools.
- Confidence translating technical analysis into clear recommendations for non-technical teams.
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Data Quality Analyst
London
£40000 - £50000
+ Data Management & Governance
PermanentLondon
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Data Quality Analyst – London (1 day a month)
We are working on a Data Quality Analyst role with a networking company in the finance industry based in London (1 day a month).
They are a small team of 3 people and don’t currently have a hands on Data Quality Analyst, so need someone with strong experience in SQL and ideally Python. You will work within the data warehouse to cleanse data and work across the end-to-end data process and improve the overall data quality of the business.
- Salary – £40K-£50K
- Location – London 1 day a month
- Skills needed – SQL
- Nice to have – Python
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Data Quality Analyst
Leicester
£40000 - £45000
+ Data Management & Governance
PermanentLeicester, Leicestershire
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DATA QUALITY ANALYST
Up to £45,000 + BENEFITS
PRIMARILY REMOTE
Help shape the future of data at a pivotal moment for this company’s growth.
THE COMPANY:
This software company has a growing Data team, and are looking for a Data Quality Analyst to help take advantage of their recent migration which has enabled them complete control over their data. They are now scaling fast and need someone dedicated to ensuring data accuracy and integrity.
THE ROLE:
A Data Quality Analyst will need experience in:
- Data profiling: spotting inconsistencies
- Data cleansing & transformation: standardising data
- Validation
- Monitoring & reporting
- Documentation
YOUR SKILLS AND EXPERIENCE:
A successful Data Quality Analyst will have the following skills and experience:
- Strong experience with SQL/BigQuery
- Experience with Python for automation
- Background in Data Quality and Governance
- Data Visualisation – ideally in Tableau
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £45,000 On top of the salary there are some fantastic extra benefits.
HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Data Quality Analyst
Nottingham
£40000 - £45000
+ Data Management & Governance
PermanentNottingham, Nottinghamshire
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DATA QUALITY ANALYST
Up to £45,000 + BENEFITS
PRIMARILY REMOTE
Help shape the future of data at a pivotal moment for this company’s growth.
THE COMPANY:
This software company has a growing Data team, and are looking for a Data Quality Analyst to help take advantage of their recent migration which has enabled them complete control over their data. They are now scaling fast and need someone dedicated to ensuring data accuracy and integrity.
THE ROLE:
A Data Quality Analyst will need experience in:
- Data profiling: spotting inconsistencies
- Data cleansing & transformation: standardising data
- Validation
- Monitoring & reporting
- Documentation
YOUR SKILLS AND EXPERIENCE:
A successful Data Quality Analyst will have the following skills and experience:
- Strong experience with SQL/BigQuery
- Experience with Python for automation
- Background in Data Quality and Governance
- Data Visualisation – ideally in Tableau
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £45,000 On top of the salary there are some fantastic extra benefits.
HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
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