Data Scientist – Credit
London / £55000 - £65000 annum
INFO
£55000 - £65000
LOCATION
London
Permanent
Data Scientist - Credit Risk
£55-65,000
London
THE COMPANY
This business are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at the forefront of the market.
THE ROLE
- Work across a range of credit models within the business, predominantly scorecards and broader decisioning models
- Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business
- Own the deployment and implementation of predictive models across the product suite
- Working closely with the Credit and Product teams to enhance performance and profitability across the business by collaborating on strategies and model enhancements
YOUR SKILLS AND EXPERIENCE:
- Essential to have experience developing predictive models, ideally within credit risk
- SQL and Python experience is essential
- Essential to have experience using Machine Learning techniques to develop non-linear models
- Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech
SALARY AND BENEFITS
- Base salary from £55-65,000
- Company pension scheme
- Private medical care
- Equity scheme
HOW TO APPLY
Please register your interest by sending your CV to Rosie Walsh through the 'Apply' link
CONTACT
Rosie Walsh
Recruitment Consultant
SIMILAR
JOB RESULTS
Senior Optimisation Data Scientist Contract
London
£600 - £900
+ Data Science & AI
ContractLondon
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Senior Optimisation Data Scientist Contract | £600-£900/day | Hybrid London
We are working with a major international transport and operations organisation building out a central AI and Data Science capability focused on solving complex operational optimisation problems across multiple business units.
This is a hands-on contract role focused on delivering real optimisation solutions that directly impact large-scale operations. The work centres around logistics, resource allocation and supply chain optimisation problems where the goal is to improve operational efficiency and reduce disruption across a distributed operational network.
Typical problem areas include optimisation of resource allocation, logistics planning and operational decision-making. One example use case involves optimising the allocation of critical components across a large operational fleet to minimise downtime and maximise utilisation. Similar optimisation challenges exist across supply chain planning, operational efficiency and network optimisation.
The team operates centrally but works closely with operational stakeholders across the organisation. Contractors will typically take ownership of optimisation problems end-to-end, from understanding the business problem through to designing and delivering production-ready optimisation models.
This role requires someone who has built optimisation or simulation solutions in real production environments. They are not looking for purely analytical data scientists or academic optimisation specialists. The successful candidate will be able to translate real-world operational problems into practical optimisation approaches and deliver working solutions.
The role requires a consultative mindset and strong stakeholder engagement. You will be expected to work closely with business teams, identify optimisation opportunities and make clear technical recommendations.
Key requirements:
* Proven experience building optimisation or simulation solutions in production
* Strong operations research or mathematical optimisation background
* Experience working on logistics or supply chain optimisation problems
* Experience translating business problems into optimisation models
* Strong Python-based modelling experience
* Ability to work closely with operational stakeholders
Typical backgrounds include airlines, logistics platforms, retail supply chain, transport networks or other large operational environments.
Contract details:
* £600-£900 per day
* Initial contract to end of year with likely extension
* Hybrid working – 3 days onsite in London
* Occasional travel within Europe may be required
To apply, please email
To Apply for this Job Click Here
Junior Digital Product Analyst
London
£30000 - £38000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Junior Digital Product Analyst
London – Hybrid – 4x a week
Up to £38,000
This is an exciting opportunity to join a growing digital analytics function where you will help shape product insights across web and app. If you enjoy using data to understand user behaviour and influence digital journeys, you will have the space to make a real impact.
The Company
They are a large, multi‑brand retail group with an extensive online presence and a fast‑paced, performance‑driven culture. As the digital function continues to expand, they are investing heavily in product analytics to support decision making across the organisation. You will gain exposure to a wide variety of digital products and work closely with teams across ecommerce, product, and analytics.
The Role
You will support product analytics across key customer journeys, with a strong focus on understanding and improving funnel performance. Your work will help set the standards for product measurement within a developing analytics function.
Key responsibilities include:
* Analysing website and app funnels to understand user behaviour and identify opportunities
* Building dashboards and reporting used by teams across the business
* Supporting analytics for checkout flows and key site features
* Using SQL, dashboarding tools, and Excel to deliver clear, actionable insights
* Contributing to the evolution of product analytics processes and frameworks
Your Skills and Experience
You will need:
* Strong aptitude for analytical problem‑solving and logical thinking
* Good understanding of how digital and web analytics works
* Hands‑on experience using SQL to query and manipulate data
* Experience with dashboarding tools such as Power BI or Tableau
* Confident Excel skills
* Interest in product analytics, funnels, and digital journeys
What They Offer
* Exposure to a large digital retail environment spanning multiple brands
* Clear development opportunities as the product analytics function grows
How to Apply
Please apply with your CV to register your interest in this Junior Digital Product Analyst role.
To Apply for this Job Click Here
Infrastructure Engineering Chapter Lead
Bristol
£100000 - £130000
+ Data Engineering
PermanentBristol
To Apply for this Job Click Here
Infrastructure Engineering Chapter Lead
Bristol, hybrid (2 days per week onsite)
£100,000 to £130,000 plus 10 percent bonus
This is a rare chance to step into a newly created function where you will shape infrastructure engineering standards, champion modern DevOps practices, and build a high‑performing chapter from the ground up. If you want the scope to define how things are done while delivering impactful cloud and platform solutions, this role offers exactly that.
The Company
They are an established international organisation operating across the globe, known for a collaborative, forward‑thinking culture and a strong focus on digital transformation. With a technology function that includes DevOps, Cloud, EUC and service operations teams, they are investing heavily in modern engineering practices and cloud‑native delivery. They prioritise innovation, professional development and creating an environment where modern engineering can thrive.
The Role
* Lead and develop a newly formed engineering chapter focused on DevOps, IaC and cloud‑native infrastructure
* Act as the key owner for delivering secure, scalable Azure infrastructure into product and engineering squads
* Drive modern practices across IaC, CI/CD automation, observability, security and cloud‑based design
* Build and embed DevOps principles, ensuring strong engineering standards across multiple squads
* Partner closely with architects, product leads and engineering teams to deliver infrastructure that accelerates product delivery
* Support three cross‑functional squads focused on data enablement, generative AI tooling and internal automation agents
* Shape strategy, ways of working and technical direction for infrastructure engineering across the organisation
Your Skills and Experience
* Strong commercial experience with Azure and cloud‑native infrastructure
* Deep expertise with Infrastructure as Code, ideally Terraform or Bicep
* Experience delivering technology products rather than traditional services
* Hands‑on knowledge of CI/CD tooling and modern DevOps practice
* The ability to lead, coach and grow engineering capability
* Strong communication skills with the ability to influence across technical and non‑technical teams
What They Offer
* Salary from £100,000 to £130,000 plus 10 percent bonus
* Hybrid working with two days per week in the Bristol office
* A comprehensive benefits package
* The chance to build a new function, define engineering standards and directly shape cloud and DevOps capability
* Clear progression opportunities within a modern, transformation‑focused technology organisation
How to Apply
To apply, please send your CV to Nick along with your salary expectations.
To Apply for this Job Click Here
Data Analyst
London
£45000 - £55000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
DATA ANALYST
LONDON/OXFORD/HYBRID
UP TO £55,000
This is an exciting opportunity to join a growing analytics function where your SQL expertise will directly shape a major FCA redress programme. You will work on high‑impact regulatory initiatives, delivering accurate, high‑quality analysis that supports critical business decisions.
ROLES AND RESPONSIBILITIES:
The Data Analyst will:
* Support the FCA redress programme and associated regulatory activity
* Work with complaints‑related datasets and large‑scale data extracts
* Write, maintain and optimise SQL queries for analysis and reporting
* Produce accurate data outputs, extracts and reports for internal and external use
* Collaborate with analytics colleagues and wider business teams
* Work alongside Data Engineering teams as they build microservices supporting the scheme
YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:
* Strong SQL skills used in day‑to‑day analytical work
* Ability to manipulate, wrangle and validate large datasets
* Experience handling high‑volume data extract requests
* High attention to detail, especially in regulatory or accuracy‑critical work
* Experience with Tableau or similar visualisation tools
* Financial services or regulated‑environment experience is beneficial
* Car finance knowledge is a plus
APPLY BELOW!
To Apply for this Job Click Here
Digital Analyst
Leeds
£30000 - £35000
+ Digital Analytics
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
Digital Analyst
£30,000 – £35,000
Hybrid – Leeds (2x days per week)
The Company
They are a large, integrated creative and media group with a strong reputation for combining data, creativity, and technology. Their teams work across global brands and ambitious growth clients, all supported by a collaborative culture that values clear insight and measurable impact. You will join an environment where experimentation is encouraged and development is actively supported.
The Role
* Build and maintain reporting within Looker Studio
* Analyse GA4 data to understand website and campaign performance
* Implement pixel and event tracking through Google Tag Manager
* Monitor paid media and wider digital performance data
* Support the team with GA4 audits and performance reviews
Your Skills and Experience
* Strong commercial experience using GA4 and Google Tag Manager
* Confident building reports within Looker Studio
* Helpful but not essential: Power BI or other BI tools, social listening platforms, experience monitoring paid media
What They Offer
* Salary up to £35,000
* Opportunities to broaden your analytics toolkit
* Supportive culture, varied projects, and clear progression routes
How to Apply
If this sounds like the right next step, please apply to discuss the role in more detail.
To Apply for this Job Click Here
AI Software Engineer
Remote
$120000 - $160000
+ Data Engineering
PermanentOhio
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AI Software Engineer
Remote (US – ET/CT Time Zone)
$120K-$160K + Benefits
I’m partnering with a global leader in digital learning technology that’s transforming how millions of students and educators experience personalized, AI-powered learning. Following major investment in generative AI, the company is scaling its AI Platform Engineering team to build the next generation of adaptive learning tools.
This is a hands-on engineering role focused on building production-grade generative AI applications that power multiple products across the business.
The Role:
You’ll design and build scalable, full-stack systems that integrate large language models and AI capabilities into digital learning platforms. Working closely with data scientists, product managers, and engineers, you’ll help take GenAI prototypes from experimentation to production-driving forward real-world AI impact.
Key Responsibilities
- Develop and maintain AI-powered applications and platform services that are reliable, scalable, and secure
- Build and optimize LLM-based and RAG-powered solutions using frameworks such as LangChain or LangGraph
- Collaborate with Data Science teams to productionize models and streamline deployment pipelines
- Lead and contribute to technical design, architecture, and CI/CD improvements
- Ensure applications meet accessibility (WCAG 2.2 AA), performance, and security standards
- Stay current on the latest advancements in GenAI and advocate for best practices across the team
About You
- 5+ years of professional software engineering experience
- Strong full-stack skills across:
- Backend: Python, Node.js, or Go
- Frontend: Angular or React
- Databases: MySQL/PostgreSQL + NoSQL (e.g., DynamoDB)
- Cloud/Infra: AWS or Azure, Terraform, CI/CD tools
- Hands-on experience building AI/GenAI-enabled applications (Azure OpenAI, Amazon Bedrock, etc.)
- Practical understanding of RAG techniques, vector databases, and AI orchestration tools
- Strong system design, performance optimization, and collaboration skills
- Passionate about building impactful technology and staying ahead in the AI space
To Apply for this Job Click Here
Staff Data Platform Engineer
San Francisco
$200000 - $245000
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
Staff Data Platform Engineer
US Remote
$200-245k base + Equity
We’re working with a rapidly expanding consumer tech startup that recently raised $125M in Series D funding. As they continue to scale, they’re looking to hire a Staff Data Engineer to join their growing data team. If you have a strong foundation in software engineering, a collaborative mindset, and a passion for driving data strategy, this is the opportunity for you!
The Role:
As a Staff Data Engineer, you’ll be a crucial part of the team, ensuring data is accessible, reliable, and actionable across the company. Working alongside engineers, data scientists, and business teams, you’ll help build scalable data platforms that drive key business initiatives and enable data-driven decision-making.
What You’ll Do:
- Collaborate with engineering, data science, and business teams to understand data needs and implement effective solutions aligned with business objectives.
- Design and build scalable data infrastructure and pipelines to handle high volumes of data as the company grows.
- Lead the design and optimization of data architecture, ensuring it’s secure, high-performing, and scalable.
- Improve and streamline data pipelines to provide fast, reliable access to high-quality data.
- Contribute to the design of reporting frameworks and analytics tools that empower teams to make data-driven decisions.
- Work with security teams to ensure data privacy and compliance standards are met.
- Mentor junior engineers, share expertise, and promote best practices across the team.
- Stay updated on new technologies and suggest improvements to enhance processes and tool efficiency.
You’re a Great Fit If:
- You have 7+ years of experience in data engineering.
- You’ve worked at a leading consumer tech company known for engineering excellence.
- You’re an expert in SQL, Python, and data platform development.
- Nice-to-have: Familiarity with AWS, Kubernetes, Redshift, Athena, S3, and Airflow.
- You have hands-on experience with complex data infrastructures and optimizing data pipelines.
- You’ve led large-scale data projects that had a significant impact on your organization.
- You thrive in collaborative environments and have strong communication skills.
- You have an ownership mindset and take responsibility for delivering results.
To Apply for this Job Click Here
Staff Data Analyst, Product Analytics
San Francisco
$200000 - $240000
+ Advanced Analytics & Marketing Insights
PermanentSan Francisco, California
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Staff Product Analyst
Location: San Francisco (Remote Eligible)
Salary: $200K-$240K base + Equity
We’re hiring a Staff Product Analyst for a hyper-growth, Series E AI company valued at $3B+. This is an opportunity to play a key role in shaping product strategy and growth by leveraging data to drive decisions, optimize user experiences, and unlock new opportunities.
What You’ll Do:
- Shape product strategy with data-driven insights – Define key metrics, track user behavior, and identify trends that impact engagement and retention.
- Deep-dive into user journeys – Uncover friction points and growth levers to enhance adoption, conversion, and retention.
- Optimize experimentation and A/B testing – Design and analyze tests to improve product features, pricing, and personalization strategies.
- Develop self-service analytics tools – Build dashboards and automated reporting to empower teams with real-time data.
- Partner with Product, Engineering & Leadership – Translate complex data into clear, actionable recommendations to improve product performance and business outcomes.
What We’re Looking For:
- 7+ years of experience in Product Analytics, preferably within high-growth tech companies.
- Expert SQL skills and experience working with large-scale product datasets.
- Proficiency in Python or R, with a strong foundation in statistical analysis and experimentation.
- Hands-on experience with A/B testing methodologies and user segmentation.
- Experience with ELT data modeling and BI tools like Looker, Omni, or Hashboard.
- Strong executive communication skills, with the ability to influence product decisions through data.
- Thrives in a fast-paced, high-impact environment, with a passion for uncovering insights that drive product growth.
To Apply for this Job Click Here
Staff Data Analyst – GTM Analytics
San Francisco
$200000 - $250000
+ Advanced Analytics & Marketing Insights
PermanentCalifornia
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Staff Data Analyst – GTM
Location: Remote
Salary: $200-250k
This fast-growing, Series C cloud platform company is at the forefront of technological innovation, delivering cutting-edge solutions that drive industry transformation. The organization is seeking a highly skilled Staff Data Analyst to lead Go-to-Market (GTM) analytics efforts, enabling strategic growth and turning complex datasets into actionable insights to optimize GTM performance and operational efficiency.
About the Role
This position is central to defining and implementing data strategies that empower GTM teams. By developing metrics, automating reporting, and delivering insightful analyses, the Staff Data Analyst will play a critical role in optimizing growth strategies and ensuring data-driven decision-making.
Key Responsibilities
- Define and implement key GTM metrics to evaluate performance and uncover growth opportunities.
- Conduct in-depth analysis of complex datasets to deliver actionable GTM insights.
- Collaborate with cross-functional teams to identify root causes, refine processes, and inform strategic initiatives.
- Automate reporting workflows and create interactive dashboards to support leadership decision-making.
- Build and enhance datasets for growth optimization and cost reduction initiatives.
- Develop data accessibility solutions, ensuring timely and structured access to insights for all stakeholders.
- Shape the GTM analytics roadmap, aligning data projects with broader organizational goals.
About You
- 6+ years in analytics roles, with expertise in SaaS and product-led growth (PLG) business models.
- Advanced proficiency in SQL and experience with tools such as Looker, Hashboard, or Omni. Familiarity with Python or R and statistical modeling.
- Demonstrated ability to interpret trends, conduct root cause analysis, and deliver data-driven recommendations that influence strategy.
- Strong ability to present complex findings clearly to both technical and non-technical audiences.
- Proven success working in fast-paced, cross-functional environments to drive high-impact outcomes.
This is a unique opportunity to join a dynamic, data-driven organization and make a significant impact on the success of its GTM strategy. If you’re passionate about using data to drive innovation and thrive in a high-growth environment, this role is for you!
To Apply for this Job Click Here
Staff Analytics Engineer
$200000 - $250000
+ Data Engineering
PermanentCalifornia
To Apply for this Job Click Here
Staff Analytics Engineer
Location: Remote
Salary: $200-250k
Are you a data expert ready to drive transformative analytics at a cutting-edge cloud platform company? This fast-growing Series C innovator is revolutionizing how teams build, preview, and deploy high-performance digital applications.
About the Role
The Staff Analytics Engineer will lead the design and implementation of robust data models and pipelines, enabling business units to uncover insights and make data-driven decisions. This role is a unique chance to collaborate with engineering, product, and business teams, building scalable analytics systems that power operational efficiency and growth.
Key Responsibilities
- Design and maintain scalable data models and pipelines to serve as a single source of truth across the enterprise.
- Develop tools to enhance data accessibility, auditing, and validation, ensuring consistent, trustworthy datasets.
- Partner with cross-functional teams to uncover actionable insights and support decision-making.
- Build self-service analytics tools and dashboards for key stakeholders, streamlining workflows.
- Collaborate on advancing the company’s data platform using cutting-edge tools like dbt, Snowflake, and Superset.
- Lead initiatives to improve data quality, governance, and discoverability, ensuring alignment with business goals.
About You
- 8+ years of experience in analytics engineering or a similar role in a modern tech company.
- Advanced proficiency in SQL, with experience working on complex datasets.
- Expertise in data platforms like Snowflake or BigQuery and transformation tools like dbt.
- Familiarity with programming languages such as Python, Java, or Go.
- Experience with BI tools like Hashboard or Superset, and a strong grasp of schema design and dimensional modeling.
- Strong communication skills and the ability to collaborate in a fast-paced environment.
Be part of a forward-thinking team where data is at the core of every decision. If you’re passionate about transforming data into meaningful insights, this role offers the chance to work on impactful projects, collaborate with top talent, and make a lasting difference.
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Staff Product Analyst
$200000 - $250000
+ Advanced Analytics & Marketing Insights
PermanentCalifornia
To Apply for this Job Click Here
Staff Data Analyst, Product Analytics
Location: Remote
Salary: $200-250k
Join a rapidly growing, Series C cloud platform company recognized for innovation and leadership in modern technology. This high-impact role offers the opportunity to drive strategy, shape growth, and turn complex data into actionable insights that improve product performance and streamline operational efficiency.
About the Role
The Staff Data Analyst will play a key role in defining critical business metrics, creating scalable visualizations, and automating reporting systems. The position involves collaborating across teams to uncover insights, streamline processes, and optimize data usage to support growth.
Key Responsibilities
- Develop and implement key business metrics to measure performance and identify opportunities.
- Create dynamic visualizations and automate reporting workflows to support decision-making.
- Build and enhance analytics datasets to optimize growth strategies and reduce costs.
- Collaborate with product, business, and leadership teams to deliver data-driven solutions.
- Prototype dashboards and data tools to improve workflows and promote best practices.
- Support data accessibility by maintaining analytical technologies that ensure timely access to data.
- Shape the analytics roadmap, aligning data initiatives with organizational goals.
About You
- 6+ years of experience in a data-focused role such as Data Analyst, Product Analyst, or Business Analyst.
- Proficient in SQL and experienced in working with complex datasets.
- Familiarity with Python or R and applied statistics.
- Expertise in ELT data modeling and tools like Hashboard, Looker, or Omni.
- Strong communication skills with the ability to translate data into actionable insights.
- Adept at collaborating in a fast-paced, cross-functional environment.
This is an opportunity to join a dynamic team where data is at the core of driving decisions and innovation. If you’re passionate about transforming data into meaningful outcomes and enjoy working on high-impact projects, this role offers the chance to make a lasting contribution.
To Apply for this Job Click Here
Staff Data Scientist, Product Analytics
San Francisco
$200000 - $250000
+ Advanced Analytics & Marketing Insights
PermanentSan Francisco, California
To Apply for this Job Click Here
Job Title: Staff Data Scientist
Location: Remote (US Only)
Salary: $200-250k base + equity
About the Company:
Join a mission-focused organization dedicated to revolutionizing global education by providing innovative learning experiences beyond the traditional classroom. The company’s app is widely used across U.S. schools and impacts millions of children worldwide.
Their team is made up of talented and creative professionals with backgrounds in education and top consumer internet companies such as Instagram, Netflix, Dropbox, Stripe, and Uber. They cultivate an environment where top talent can thrive. If you’re eager to work with some of the best minds in the industry, we encourage you to apply!
Position Summary:
As a Staff Data Scientist, you will be a key player in developing the world’s leading consumer education platform. You will be part of a high-achieving, cross-functional team working closely with product, engineering, and design to shape the company’s strategic direction and tackle challenging product and business issues.
Key Responsibilities:
- Utilize data-driven insights to inform decisions and drive our brand toward new milestones
- Work collaboratively with various teams to discover user insights and pinpoint essential product improvements
- Design and analyze AB/multivariate tests to derive actionable conclusions that boost user engagement
- Lead data science projects, influencing strategic choices and addressing complex problems
Your Skills and Experience:
- 8+ years of experience in data science and product analytics
- Experience in the consumer technology sector
- Proficient in writing efficient SQL queries for large datasets
- Skilled in designing and analyzing A/B tests
- Strong understanding of growth strategies for consumer products
- Experience working in fast-paced startup environments
- Excellent verbal and written communication skills
- Strategic thinker with a keen focus on product development
- Innovative approach to using data to drive product strategy
To Apply for this Job Click Here
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