Senior Data / Analytics Engineer
New York / $80 - $90 hour
INFO
$80 - $90
LOCATION
New York
Contract
Join a Team Shaping the Future of Data & AI
Our client is a leading consultancy focused on helping organizations modernize their data ecosystems and accelerate their use of advanced analytics and AI. They with cutting‑edge cloud technologies to design scalable platforms, unlock deeper insights, and enable data‑driven decision‑making for clients across a wide range of industries.
About the Role
As a Senior Data / Analytics Engineer, you'll take ownership of designing and building end‑to‑end analytical data solutions in a modern cloud environment. Your work will form the backbone of enterprise data operations and set the standards for data modeling, warehouse design, and transformation workflows that support analytics, BI, data science, and machine learning initiatives.
This role is ideal for someone who enjoys operating at the intersection of data engineering and analytics, and who wants to shape the technical foundations that enable high‑impact insights at scale.
What You'll Be Responsible For
Building the Foundation
- Develop resilient, high‑performing data platforms that empower analytics and data science teams.
- Define scalable data models and implement efficient storage and optimization strategies.
- Guide clients through migrations from legacy BI or warehousing systems into a modern cloud-native stack.
- Architect and build new enterprise data warehouse and data mart solutions.
- Implement well-documented transformation logic using modern tooling.
- Establish testing frameworks and deployment processes for reliable, production-ready data workflows.
- Apply advanced data modeling principles to deliver maintainable, extensible datasets.
- Partner closely with engineering, BI, analytics, and ML teams in agile project settings.
- Build working relationships with major technology vendors and stay informed on new platform capabilities.
- Promote best practices in version control, automated testing, and continuous integration within analytics engineering workflows.
What You Bring
Experience & Technical Strength
- 4+ years in a data-centered role (Analytics Engineering, Data Engineering, Data Analysis, etc.).
- Strong practical experience with modern data transformation frameworks (e.g., dbt) and cloud-based data warehouses.
- Expertise in dimensional modeling and related warehousing techniques.
- Fluency in SQL, with the ability to write both readable analytical queries and highly optimized SQL for performance-critical workloads.
- Looker and dbt are MUST HAVE
- Ability to translate complex business needs into scalable data solutions.
- Clear communicator capable of explaining technical concepts to varied audiences.
- Experience mentoring or guiding junior team members.
- Comfortable owning multiple workstreams and engaging directly with stakeholders.
- Values aligned with a culture that emphasizes accountability, transparency, collaboration, and high performance.
Nice-to-Have Qualifications
- Certifications related to cloud data engineering or modern analytics tooling.
- Familiarity with agile project delivery and Scrum practices.
Our Technology Environment
- Cloud: Modern cloud platforms (e.g., Google Cloud, AWS, or similar)
- Warehousing: BigQuery, Snowflake, Firebolt, or other cloud-native warehouses
- Transformation: dbt, SQL, Dataform
- Orchestration: dbt, Airflow or equivalent schedulers
- BI & Visualization: Looker or similar tools
- Development Workflow: Git‑based version control and CI/CD practices
Location: Remote (EST Time Zone Preferred)
Utilization: 40 hours / week
Duration: 3 Months (Strong potential for extension)
Rate: $75/hr - $90/hr, dependent on experience
CONTACT
SIMILAR
JOB RESULTS
Software Engineering Manager
$200000 - $240000
+ Data Engineering
PermanentUSA
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Software Engineering Manager, Growth
Location: Must be U.S. based. Strong preference for candidates based in EST or able to work core EST hours.
Role Overview
A mid-size, high-growth visual collaboration software company is seeking a Software Engineering Manager to lead its Growth Engineering team. This leader will own the experimentation engine that drives acquisition, conversion, and lifetime value across a product-led, consumer-driven motion.
Key Responsibilities
- Lead a small, high-impact team of 5 engineers focused on product-led growth and experimentation across the funnel.
- Own the growth engineering roadmap across acquisition, conversion, retention, and LTV in close partnership with Product, Marketing, and Data.
- Design, implement, and analyze A/B and multivariate experiments end-to-end, translating learnings into clear product and roadmap decisions.
- Scale the existing experimentation and A/B testing platform to handle roughly 10x current experiment volume.
- Guide the team in building and shipping full‑stack features (Node.js/TypeScript preferred) that improve signup, onboarding, activation, engagement, and monetization.
- Review technical specs, architecture proposals, and PRs, providing pragmatic, constructive feedback that unblocks engineers.
- Contribute hands-on code when appropriate, particularly in early-stage projects or to frame complex technical work.
- Own and optimize CAC for self‑serve acquisition in partnership with Growth and Marketing (paid channels, referrals, organic/SEO).
- Instill a data‑driven culture: define funnel metrics, ensure robust instrumentation, and set guardrails for safe experimentation.
- Coach and develop engineers through 1:1s, feedback, and career support, helping them grow while maintaining a high‑ownership culture.
Requirements
- 5+ years of professional software engineering experience shipping production code, ideally in a modern Node.js / TypeScript environment.
- 2+ years of engineering management or formal tech-lead experience with people management responsibilities.
- Strong full‑stack foundation; comfortable diving into frontend, backend, and data layers to support the team.
- Deep understanding of growth levers: acquisition, activation, conversion, retention, and LTV.
- Demonstrated experience optimizing funnels and running experiments with clear, measurable business impact.
- Proven ownership of A/B tests from hypothesis and design through implementation, rollout, and results interpretation.
- Experience partnering with Marketing/Growth to manage and optimize CAC across self-serve channels.
- Strong technical judgment and code quality bar; able to review specs and PRs and communicate trade‑offs clearly.
- Excellent communication skills and cross‑functional collaboration experience in a SaaS or product-led environment.
Nice to have
- Experience with Stripe integrations or other similar billing/subscription platforms.
- Background in PLG environments or experimentation platforms focused on conversion optimization.
- Prior experience in visual collaboration, productivity, or adjacent B2B SaaS products.
- Familiarity with experimentation tooling, feature flagging, and growth analytics platforms.
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Senior Product Manager – AI/ML
Boston
$160000 - $190000
+ Data Engineering
PermanentBoston, Massachusetts
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Senior Technical Product Manager, AI/LLM Platform
Location: Hybrid – 2-3x per week in Boston, MA
About the Role
We are hiring a Senior Product Manager to lead the development of AI platform products supporting pharmaceutical R&D. This role focuses on agentic AI systems, LLM integrations, and RAG pipelines that enhance scientific research and decision-making. The ideal candidate has a technical background, having previously worked as a software, ML, or data engineer, and a strong record of building and launching enterprise AI products from 0 to 1.
Responsibilities
- Define and execute product roadmaps for LLM, RAG, and agentic AI capabilities supporting research and data-driven decisions.
- Work with engineering, data science, and research teams to integrate AI solutions into R&D workflows.
- Deliver platform products that scale efficiently, ensure compliance, and drive measurable adoption.
- Translate complex requirements into clear technical and business specifications.
- Lead go-to-market planning, stakeholder alignment, and post-launch iteration.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, or Engineering.
- At least 2 years of product management experience with prior technical experience as a software, ML, or data engineer.
- Strong understanding of LLM architectures, RAG systems, MCP frameworks, and agentic AI.
- Proven track record delivering enterprise AI products or platforms.
- Experience with GCP and tools such as Vertex AI, LangChain, and vector databases.
- Excellent communication and cross-functional collaboration skills.
Preferred Experience
- Familiarity with pharma, life sciences, or biomedical data environments.
- Knowledge of compliance standards such as GxP or HIPAA.
- Experience with model governance and AI platform evaluation.
Benefits
- Competitive salary with annual performance bonus.
- 401(k) plan with company match.
- Comprehensive medical, dental, and vision coverage.
- Generous paid time off and holidays.
- Public company stock options and long-term incentive opportunities.
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Senior Analytics Engineer
Indianapolis
$140000 - $165000
+ Data Engineering
PermanentIndianapolis, Indiana
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Senior Analytics Engineer
Location: Northern Indianapolis (Hybrid, 2-3 days onsite)
About the Company
A fast-growing direct-to-consumer ecommerce brand is expanding its analytics capabilities to support continued growth. The team is modernizing its data stack and building scalable infrastructure to enable smarter, faster decisions across the business.
About the Role
The Senior Analytics Engineer will design and maintain data pipelines, models, and dashboards that power key insights for marketing, supply chain, and executive teams. This person will play a central role in the company’s transition to a BigQuery-based data warehouse and Looker for BI.
Key Responsibilities
- Build and manage ETL pipelines using Airbyte and dbt (or similar tools)
- Develop clean, efficient data models in BigQuery
- Create and maintain Looker dashboards for business stakeholders
- Analyze ecommerce and Shopify data to identify opportunities and trends
- Ensure data quality, consistency, and accessibility across systems
- Partner with teams to translate business needs into data solutions
Required Qualifications
- 4+ years of experience in analytics engineering, data engineering, or BI development
- Strong proficiency in SQL, Python, and data modeling (dbt or similar)
- Experience with Looker or another BI tool (e.g., Tableau, Power BI)
- Hands-on experience with BigQuery and PostgreSQL
- Familiarity with modern ETL tools (Airbyte preferred)
- Excellent communication and collaboration skills
Nice to Have
- Ecommerce or Shopify analytics experience
- Exposure to advanced analytics or data science workflows
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Senior Data Engineer
Miami
$75 - $95
+ Data Engineering
ContractMiami, Florida
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Data Engineer
Our client (Healthcare Tech) is seeking an experienced Data Engineer to help design, expand, and optimize our data ecosystem. In this role, you’ll develop scalable pipelines, build robust data models, and create the infrastructure necessary to support analytics, reporting, and advanced data use cases across the company. You will play a key part in ensuring data is reliable, accessible, and ready to fuel decision‑making and innovation.
What You’ll Contribute
Design and Maintain Scalable Data Pipelines
- Build and manage batch and streaming pipelines that integrate data from multiple systems.
- Ensure pipelines are performant, cost‑efficient, and fault‑tolerant across cloud and hybrid environments.
- Develop reusable templates, standardized workflows, and automated data processes.
Implement Strong Data Quality Practices
- Build validation frameworks, anomaly detection checks, and automated QA processes.
- Create metrics and dashboards that track data accuracy, completeness, and system health.
- Champion data health and reliability across all integrated systems and domains.
Develop Standardized Data Interfaces
- Design and maintain APIs, data feeds, and access layers that support internal and external consumers.
- Ensure data delivery mechanisms adhere to standards for security, usability, and scalability.
Cross‑Functional Collaboration
- Partner with Product, Engineering, Analytics, and Operations to understand data needs and translate business requirements into technical solutions.
- Participate in architectural discussions and influence decisions related to data strategy, storage, and governance.
What Makes You a Strong Fit
Experience & Background
- 5+ years in data engineering or a similar technical discipline.
- Demonstrated experience building and maintaining production-grade data pipelines.
Technical Expertise
- Hands-on experience with modern data technologies such as Snowflake, dbt, Kafka, PostgreSQL, MongoDB, or similar tools.
- Strong SQL skills and experience working with both relational and NoSQL databases.
- Proficiency in Python and experience with cloud environments (e.g., AWS or another major provider).
- Solid understanding of ETL/ELT patterns, schema design, API development, and metadata management.
Soft Skills
- Clear communication skills and the ability to translate technical concepts for non-technical audiences.
- Effective collaboration with cross-functional partners.
- Ability to manage multiple initiatives while delivering high‑quality solutions.
- A pragmatic, ownership‑oriented mindset with a passion for building scalable systems.
Bonus Qualifications
- Experience with data cataloging, lineage, or observability tools.
- Familiarity with domain‑oriented data practices or distributed data ownership models.
- Background working in regulated environments where data governance and compliance are critical.
- Experience designing standardized APIs or enabling data productization at scale.
Location: Remote (EST Time Zone Preferred)
Utilization: 40 hours / week
Duration: 9 Months (Strong potential for extension)
Rate: $75/hr – $90/hr, dependent on experience
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Consulting Data Engineer (Remote)
New York
$75 - $95
+ Data Engineering
ContractNew York
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Consulting Data Engineer – Professional Services
As a Consulting Data Engineer, you’ll be at the forefront of helping enterprises transform how they manage and leverage big data and AI. In this role, you’ll partner with clients to help design modern data architectures, guide migrations, and enable advanced analytics solutions that drive real business outcomes.
You won’t just deliver technology, you’ll deliver innovation. You’ll help organizations turn data into actionable insights. If you thrive in dynamic environments, love solving complex challenges, and want to make a measurable impact, this is the role for you.
What You’ll Do
- Lead high-impact projects that enable clients to modernize their data platforms and accelerate AI adoption.
- Design and implement scalable, cloud-based architectures that power advanced analytics and machine learning.
- Collaborate with technical teams and business stakeholders to ensure seamless delivery and measurable success.
- Act as a trusted advisor, guiding clients through migrations, deployments, and best practices for big data and AI.
- Share insights and feedback to continuously improve solutions and shape the future of data innovation.
What We’re Looking For
- 6+ years of experience in data engineering, analytics, or cloud architecture.
- Strong coding skills in Python or Scala.
- Expertise in at least one major cloud platform (AWS, Azure, or GCP) and familiarity with others.
- Deep knowledge of distributed computing frameworks (e.g., Apache Spark).
- Experience with CI/CD, MLOps, and designing end-to-end data solutions.
- Databricks experience is a *MUST*.
- Exceptional communication and problem-solving skills.
This is a Contract Role. The initial term will be six months, with a strong possibility for extension, and the workload will be 40 hours per week.
**WE WILL NOT BE UTILIZING THIRD PARTY AGENCIES FOR THIS ROLE**
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Senior Data / Analytics Engineer
New York
$80 - $90
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Join a Team Shaping the Future of Data & AI
Our client is a leading consultancy focused on helping organizations modernize their data ecosystems and accelerate their use of advanced analytics and AI. They with cutting‑edge cloud technologies to design scalable platforms, unlock deeper insights, and enable data‑driven decision‑making for clients across a wide range of industries.
About the Role
As a Senior Data / Analytics Engineer, you’ll take ownership of designing and building end‑to‑end analytical data solutions in a modern cloud environment. Your work will form the backbone of enterprise data operations and set the standards for data modeling, warehouse design, and transformation workflows that support analytics, BI, data science, and machine learning initiatives.
This role is ideal for someone who enjoys operating at the intersection of data engineering and analytics, and who wants to shape the technical foundations that enable high‑impact insights at scale.
What You’ll Be Responsible For
Building the Foundation
- Develop resilient, high‑performing data platforms that empower analytics and data science teams.
- Define scalable data models and implement efficient storage and optimization strategies.
Modernizing Data Ecosystems
- Guide clients through migrations from legacy BI or warehousing systems into a modern cloud-native stack.
- Architect and build new enterprise data warehouse and data mart solutions.
Developing Core Data Pipelines
- Implement well-documented transformation logic using modern tooling.
- Establish testing frameworks and deployment processes for reliable, production-ready data workflows.
- Apply advanced data modeling principles to deliver maintainable, extensible datasets.
Cross‑Functional Collaboration
- Partner closely with engineering, BI, analytics, and ML teams in agile project settings.
- Build working relationships with major technology vendors and stay informed on new platform capabilities.
Engineering Excellence
- Promote best practices in version control, automated testing, and continuous integration within analytics engineering workflows.
What You Bring
Experience & Technical Strength
- 4+ years in a data-centered role (Analytics Engineering, Data Engineering, Data Analysis, etc.).
- Strong practical experience with modern data transformation frameworks (e.g., dbt) and cloud-based data warehouses.
- Expertise in dimensional modeling and related warehousing techniques.
- Fluency in SQL, with the ability to write both readable analytical queries and highly optimized SQL for performance-critical workloads.
- Looker and dbt are MUST HAVE
Analytical & Communication Skills
- Ability to translate complex business needs into scalable data solutions.
- Clear communicator capable of explaining technical concepts to varied audiences.
Leadership & Professional Attributes
- Experience mentoring or guiding junior team members.
- Comfortable owning multiple workstreams and engaging directly with stakeholders.
- Values aligned with a culture that emphasizes accountability, transparency, collaboration, and high performance.
Nice-to-Have Qualifications
- Certifications related to cloud data engineering or modern analytics tooling.
- Familiarity with agile project delivery and Scrum practices.
Our Technology Environment
- Cloud: Modern cloud platforms (e.g., Google Cloud, AWS, or similar)
- Warehousing: BigQuery, Snowflake, Firebolt, or other cloud-native warehouses
- Transformation: dbt, SQL, Dataform
- Orchestration: dbt, Airflow or equivalent schedulers
- BI & Visualization: Looker or similar tools
- Development Workflow: Git‑based version control and CI/CD practices
Location: Remote (EST Time Zone Preferred)
Utilization: 40 hours / week
Duration: 3 Months (Strong potential for extension)
Rate: $75/hr – $90/hr, dependent on experience
To Apply for this Job Click Here
Senior Software Engineer
Guildford
£75000 - £80000
+ Data Engineering
PermanentGuildford, Surrey
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Senior Software Developer
Guildford (1.5 days a week on site)
Salary £90,000 plus benefits.
This is an exciting opportunity to join a growing engineering team working on complex, meaningful problems across aviation, defence, and public sector environments. You will work on end to end software delivery, solve challenging optimisation and modelling problems, and contribute to high impact products used by major organisations.
The Company
They are a specialist consultancy building bespoke software products that integrate directly into their customers’ environments. Their work focuses on solving high value technical challenges that clients cannot resolve internally, and they prioritise innovation and quality over volume. With rapid growth and a strong pipeline of diverse projects, they offer autonomy, variety, and the chance to work on impactful systems with real world application.
The Role
* Deliver full stack software solutions across backend and frontend.
* Design and build features using Java, Spring and a modern frontend framework.
* Collaborate with data scientists and engineers on optimisation and modelling projects.
* Contribute to engineering best practice across the development function.
* Take ownership of work and drive delivery with minimal oversight.
* Support problem solving, design discussions and code reviews.
Your Skills and Experience
* Strong commercial experience with Java and Spring for backend development.
* Experience with Angular or another modern frontend framework such as React or Vue.
* Confident working across the full stack, including cloud based environments.
* Familiarity with Azure or Terraform is beneficial but not essential.
* Ability to write high quality code with a focus on maintainability and security.
* Comfortable working independently and collaborating in small teams.
* Experience mentoring others is useful but not required.
What They Offer
* Salary of £90,000.
* Hybrid working with 1.5 days per week in the office.
* 5 percent pension match.
* 25 days holiday plus bank holidays, with the option to buy more.
* Five days paid training per year.
* Five days paid charity work per year.
* Up to one month per year working remotely from abroad.
* Annual pay rise and performance based bonus.
* A variety of high impact projects across multiple domains.
How to Apply
If this Senior Software Developer role in Guildford sounds like the right next step, apply today.
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Junior Product Analyst
London
£35000 - £38000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Junior Digital Product Analyst
London,Hybrid
Salary up to £38,000
This is an exciting opportunity to join a high‑growth digital team where you will shape how product analytics is delivered across web and app experiences. If you enjoy solving problems, working with data, and influencing digital journeys at scale, this role offers the ideal platform to grow.
The Company
They are a large, multi‑brand retail group operating well‑known consumer brands across sports, fashion and lifestyle. With a fast‑paced culture and ongoing digital transformation, they offer the chance to work on high‑impact products that reach millions of customers. Their digital function is expanding, giving you exposure to a broad range of stakeholders, complex data environments and continuous progression opportunities.
The Role
You will help build and mature their product analytics capability, supporting data‑driven decisions across teams. Key responsibilities include:
* Conducting funnel analysis across key customer journeys such as checkout and conversion flows.
* Building dashboards and reporting used by product, UX, engineering and senior leaders.
* Using SQL to extract, manipulate and analyse data from multiple sources.
* Evaluating the performance of web and app features and identifying optimisation opportunities.
* Supporting the development of analytics standards, documentation and KPIs.
* Partnering with cross‑functional teams to translate insights into measurable product improvements.
Your Skills and Experience
* Strong analytical thinking with a solid understanding of digital and website analytics.
* Proficient in SQL and able to work independently with guidance.
* Experience using dashboarding tools such as Power BI or Tableau.
* Confident working with Excel for analysis and reporting.
* Ability to explain findings clearly to both technical and non‑technical audiences.
* Comfortable working in a fast‑moving environment with evolving priorities.
HOW TO APPLY:
Apply by sending your CV to Joe by the link below
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Technical Web Analyst – Contract
London
£350 - £400
+ Digital Analytics
ContractLondon
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Technical Web Analyst – Contract
Media Client
£350-£400 per day – Inside IR35
London – 3 days p/w in the office
This is an opportunity to join a leading media business on a contract basis, supporting their digital tagging and analytics implementation. You will play a key role in ensuring data is captured accurately and consistently, enabling better reporting and smarter decisions.
The Company
They are a well known media organisation with a strong digital presence and a focus on data driven decision making. Working in a collaborative environment, they are investing in their analytics capability to better understand audiences and performance. You will join a team that values technical expertise, clear communication and practical problem solving.
The Role and Deliverables
- Implement and maintain tags within Tealium IQ to support analytics and marketing needs.
- Write custom JavaScript to create and customise tagging solutions.
- Configure and test tracking in a Google Analytics environment.
- Troubleshoot tagging and data collection issues across web properties.
- Document implementations and provide clear handover notes to internal teams.
Your Skills & Experience
- Strong experience implementing tags using Tealium IQ tag management.
- Confident writing JavaScript for custom tag development and data layer logic.
- Solid understanding of Google Analytics configuration and event tracking.
- Ability to debug tagging issues using browser tools and testing methods.
- Clear communicator who can explain technical concepts to non technical stakeholders.
How to Apply
If you have the Tealium, JavaScript and Google Analytics experience required for this contract, please apply with your CV.
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Data Lead
Newcastle upon Tyne
£40000 - £50000
+ Digital Analytics
PermanentNewcastle upon Tyne, Tyne and Wear
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DATA LEAD UP TO £50,000 REMOTE-FIRST (OCCASIONAL TRAVEL TO FOLKESTONE – ONCE A MONTH OR ONCE A QUARTER)
A strong opportunity for a hands-on Data Lead to join an award-winning digital marketing agency with a 15-year track record and a client base of 50+ brands. If you thrive in fast-paced environments, love getting into the detail of tagging and tracking, and can translate data into clear recommendations – this is worth a look.
THE COMPANY Our client is an established, award-winning digital media agency covering SEO, PPC, Social, Content, Digital PR and Data. They work with well-known brands across travel, tech and retail – managing complex, multi-site digital ecosystems for clients at scale. The data team is small and focused, which means your work has direct visibility and real impact across the business.
THE ROLE
- Lead on tagging and tracking implementation across client websites – some clients operate 240+ sites, so pace and precision matter
- Troubleshoot and scope server-side tagging requirements
- Manage BigQuery set-ups and translate data into visualised outputs via Looker
- Provide consultative analysis for clients – turning data into clear, actionable recommendations
- Support CRO and UX measurement frameworks
- Split roughly 65% implementation, 20-30% measurement strategy, remainder analysis and insight
YOUR SKILLS AND EXPERIENCE
- GA4 and GTM are essential – hands-on, demonstrable experience required
- Server-side tagging experience is strongly preferred
- Looker is the primary visualisation tool; Power BI or Tableau also considered
- SQL and BigQuery experience is a strong plus
- CRO and UX experience is ideal
- Agency-side background is needed – comfort managing multiple clients simultaneously is key
- Able to handle high volume, fast-moving workloads across varied client sets
SALARY AND BENEFITS
- Up to £50,000 base salary
- Remote-first – occasional travel to Folkestone (monthly or quarterly)
- Work across a diverse portfolio of 50+ clients
- Fast-paced, high-ownership role within a focused data team
- Autonomy to lead on implementation and shape how data is used across client accounts
HOW TO APPLY Please register your interest by sending your CV to Mohammed Buhariwala through the ‘Apply’ link or directly to
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Data Scientist- Remote
£60000 - £85000
+ Risk Analytics
PermanentEngland
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DATA SCIENTIST
REMOTE
UP TO £85,000
A fast-growing fintech is seeking a Data Scientist to join their risk and analytics team. This is a rare opportunity to work on complex, high-impact problems in merchant risk, fraud, and credit analytics, helping shape solutions that directly affect the business and its customers.
THE ROLE
You’ll be joining a team that’s building things from scratch, tackling novel challenges with both analytical rigour and commercial insight. Day-to-day, you’ll:
- Monitor and assess partner portfolios using advanced analytics and, where needed, account-level reviews to understand both existing and emerging risks.
- Build, implement, and track predictive rules and models to improve understanding of merchant risk.
- Collaborate with payments firms and insurers to understand their requirements and shape data-driven solutions for the market.
REQUIREMENTS
- 2-5 years’ experience in a quantitative credit risk, fraud, or related analytical role.
- Strong technical skills: Python for analysis, SQL for data extraction/manipulation.
- Experience with supervised models (logistic regression, gradient boosting).
- Self-starter mentality with the ability to work autonomously and proactively solve problems.
- Motivated by making tangible impact on the business and customer outcomes.
HOW TO APPLY
Please send CV below or
To Apply for this Job Click Here
Staff Data Scientist – Paid Marketing
London
£87000 - £113000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Staff Data Scientist – Paid Marketing
London – x2 days a week
Up to £113,000 plus bonus and benefits
This is a fantastic opportunity to join a high‑growth, product‑led business where data drives every marketing decision. You will shape how performance is measured across a major digital brand, building new attribution and LTV capabilities that directly influence strategy.
The Company
They are a fast‑scaling, community‑focused digital marketplace with a strong app footprint and a mission‑led culture. Their marketing team is expanding and investing heavily in data to improve performance across paid and brand channels. With an international user base and a modern tech stack, they offer the chance to innovate, experiment, and deliver impact at scale.
The Role
You will join the marketing analytics function, owning attribution modelling and the measurement framework that powers paid marketing decisions.
Key responsibilities include:
* Leading the development, maintenance, and optimisation of attribution models for sign‑ups and paid activity.
* Building measurement capabilities, including CLV and LTV modelling for strategic forecasting.
* Delivering complex, in‑depth analysis to explain performance and guide future investment.
* Partnering with stakeholders across paid, brand, and wider marketing teams.
* Driving the measurement roadmap and ensuring clarity on key metrics across the business.
* Providing BAU support while also setting long‑term direction.
Your Skills and Experience
You will bring:
* Strong SQL skills.
* Excellent Python capability for developing analytics and attribution models.
* Proven experience in marketing analytics within an app‑based or digital‑first environment.
* Ability to communicate complex measurement concepts clearly to non‑technical stakeholders.
* Experience owning attribution frameworks and performance measurement processes.
What They Offer
* Up to 113k plus benefits
How to Apply
If you are passionate about building best‑in‑class measurement for a fast‑moving digital brand, apply today to find out more.
To Apply for this Job Click Here
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