Senior Data Scientist
London / £450 - £480 day
INFO
£450 - £480
LOCATION
London
Contract
Job Opportunity: Marketing & Data Science - Measurement & Modelling
Location: Hybrid (2 days per week in office for first month, flexible after)
Duration: 3 months initially
Rate: £450-480/day (Outside IR35)
Commute: 2 hours by train from Central London
Role Overview:
This role focuses on marketing effectiveness and data science in the retail industry, with a strong emphasis on email campaign measurement, incremental value, and experimentation. The main responsibilities include finalising the Marketing Mix Modelling (MMM) framework, completing the A/B testing framework, and automating marketing analytics processes. The ideal candidate will have experience in causal inference, MMM, and experimentation.
Key Responsibilities:
Finalising the MMM framework and modelling (70% complete)
Building out the A/B testing framework
Automating marketing analytics processes, particularly around experimentation
Handling complex data and working with incomplete data
Measuring campaign impact and refining marketing strategies
Tech Stack:
Core: Databricks, SQL, Python, PySpark
Nice to Have: R, dashboarding tools
Ideal Candidate:
4-5 years of commercial experience in data science, preferably in an eCommerce or marketing analytics environment
Proven experience in causal inference, MMM, and experimentation
Strong communication skills and the ability to explain data-driven insights
Interview Process:
Stage 1: Technical assessment
Stage 2: Knowledge-based interview
CONTACT
James Lipscombe
Recruitment Consultant
SIMILAR
JOB RESULTS
Lead Credit Risk Modeller
Leeds
£50000 - £60000
+ Risk Analytics
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
LEAD CREDIT RISK SCORECARD MODELLER
£50-60,000
LEEDS + OTHER LOCATIONS ACROSS UK
Very exciting role here with a leader in the UK banking space. This role would enable you to lead model development and implementation across the full product suite.
THE COMPANY
This growing UK Bank are seeking an experienced candidate to lead scorecard development across their unsecured and unsecured portfolios. This role offers an excellent opportunity to work directly on end-to-end development projects, as well wider work on implementation and challenger models.
THE ROLE
- Developing end-to-end scorecards and wider predictive models
- Model enhancement and integration of ML techniques to bolster the model suite
- Broader portfolio analysis and driving insight into customer trends and behaviours
- Close work with internal and external stakeholders to drive business performance
- Co-ordination with wider teams to deploy models and working closely with senior stakeholders to implement change
YOUR SKILLS AND EXPERIENCE
- Prior consumer lending experience is essential
- Prior scorecard experience, in either development or implementation, is essential
- Experience using SAS
- Experience using Python/R is desirable
SALARY AND BENEFITS
- Base salary of up to £55-60,000
- Discretionary bonus
- Pension contribution scheme
- 26 days holiday
- Private medical scheme
HOW TO APPLY
Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link
To Apply for this Job Click Here
Time Series Data Scientist (Contract)
London
£600 - £650
+ Data Engineering
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To Apply for this Job Click Here
We’re hiring a contract Data Scientist to lead the development of forecasting models for a major media organisation. The project is fully scoped and delivery-focused; you’ll be responsible for building daily, weekly, and monthly time series models to predict ad revenue, website traffic, and overall digital performance.
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Build and deploy time series forecasting models to predict traffic, ad performance, and revenue
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Collaborate with stakeholders in product, marketing, and commercial teams to define inputs and targets
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Work with structured web analytics and revenue data in a cloud environment
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Python (NumPy, Pandas, scikit-learn)
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SQL
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GCP (BigQuery, Cloud Functions)
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Deployment: Docker, Kubernetes, Airflow
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Git, CI/CD pipelines
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Tableau (optional)
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Proven expertise in time series forecasting at multiple projects
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Strong Python and SQL skills
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Experience deploying models into production in a cloud environment (GCP preferred)
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Ability to work independently and manage delivery from end to end
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Strong communication skills for cross-team collaboration
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To Apply for this Job Click Here
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Build and deploy time series forecasting models to predict traffic, ad performance, and revenue
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Python (NumPy, Pandas, scikit-learn)
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SQL
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GCP (BigQuery, Cloud Functions)
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Deployment: Docker, Kubernetes, Airflow
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Git, CI/CD pipelines
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Tableau (optional)
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Proven expertise in time series forecasting at multiple projects
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Strong Python and SQL skills
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Experience deploying models into production in a cloud environment (GCP preferred)
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Ability to work independently and manage delivery from end to end
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Strong communication skills for cross-team collaboration
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£40000 - £60000
+ Risk Analytics
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To Apply for this Job Click Here
LEAD SCORECARD MODELLER
COMPETITIVE SALARY UP TO £60,000
BIRMINGHAM, HYBRID WORKING (3 DAYS PER WEEK IN OFFICE)
In this role, you’ll be focusing on leading projects to develop behavioural and application scorecards for a range of retail portfolios across the bank. You’ll be working within a talented, dynamic team and be able to mentor more junior members.
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This company is a global bank that provides innovative and data-driven financial solutions to millions of customers and businesses across the world. You’ll be able to work alongside and learn from talented individuals with decades of experience.
THE ROLE
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- Lead teams and projects, ensuring junior members have direction and the models are effective.
- Potential to develop challenger scoring models using machine learning techniques
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Please register your interest via the apply link on this page or send your CV directly
To Apply for this Job Click Here
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To Apply for this Job Click Here
LEAD SCORECARD MODELLER
COMPETITIVE SALARY UP TO £60,000
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- Potential to develop challenger scoring models using machine learning techniques
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- Strong pension scheme
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Please register your interest via the apply link on this page or send your CV directly
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£40000 - £60000
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To Apply for this Job Click Here
LEAD SCORECARD MODELLER
COMPETITIVE SALARY UP TO £60,000
SHEFFIELD, HYBRID WORKING (3 DAYS PER WEEK IN OFFICE)
In this role, you’ll be focusing on leading projects to develop behavioural and application scorecards for a range of retail portfolios across the bank. You’ll be working within a talented, dynamic team and be able to mentor more junior members.
THE COMPANY
This company is a global bank that provides innovative and data-driven financial solutions to millions of customers and businesses across the world. You’ll be able to work alongside and learn from talented individuals with decades of experience.
THE ROLE
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- R/Python proficiency is beneficial
THE BENEFITS
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- Strong bonus scheme
- Strong pension scheme
- Private medical
HOW TO APPLY
Please register your interest via the apply link on this page or send your CV directly
To Apply for this Job Click Here
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To Apply for this Job Click Here
LEAD SCORECARD MODELLER
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LEEDS, HYBRID WORKING (3 DAYS PER WEEK IN OFFICE)
In this role, you’ll be focusing on leading projects to develop behavioural and application scorecards for a range of retail portfolios across the bank. You’ll be working within a talented, dynamic team and be able to mentor more junior members.
THE COMPANY
This company is a global bank that provides innovative and data-driven financial solutions to millions of customers and businesses across the world. You’ll be able to work alongside and learn from talented individuals with decades of experience.
THE ROLE
- Develop behavioural and application scorecards for a range of portfolios and products.
- Lead teams and projects, ensuring junior members have direction and the models are effective.
- Potential to develop challenger scoring models using machine learning techniques
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- 3+ Years of Credit Risk Analytics experience
- Experience developing models is required
- Scorecard modelling experience is a strong preference
- SAS proficiency is essential
- R/Python proficiency is beneficial
THE BENEFITS
- Competitive salary up to £60,000
- Hybrid working
- Strong bonus scheme
- Strong pension scheme
- Private medical
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Please register your interest via the apply link on this page or send your CV directly
To Apply for this Job Click Here
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London
£600 - £700
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ContractLondon
To Apply for this Job Click Here
Contract Data Scientist – Time Series Forecasting
Duration: 6 months
Rate: £600-700/day (Inside IR35)
Location: Hybrid – 1-2 days/week in Central London
We’re hiring a contract Data Scientist to lead the development of forecasting models for a major media organisation. The project is fully scoped and delivery-focused; you’ll be responsible for building daily, weekly, and monthly time series models to predict ad revenue, website traffic, and overall digital performance.
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Build and deploy time series forecasting models to predict traffic, ad performance, and revenue
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Work across multiple temporal resolutions (daily, weekly, monthly)
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Collaborate with stakeholders in product, marketing, and commercial teams to define inputs and targets
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Work with structured web analytics and revenue data in a cloud environment
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Ensure models are robust, explainable, and production-ready
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Python (NumPy, Pandas, scikit-learn)
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SQL
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GCP (BigQuery, Cloud Functions)
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Deployment: Docker, Kubernetes, Airflow
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Git, CI/CD pipelines
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Tableau (optional)
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Proven expertise in time series forecasting at multiple granularities
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Strong Python and SQL skills
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Experience deploying models into production in a cloud environment (GCP preferred)
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Ability to work independently and manage delivery from end to end
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Strong communication skills for cross-team collaboration
To Apply for this Job Click Here
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London
£550 - £650
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Job Title: Data Scientist – Time Series Forecasting
About the Role:
Data Scientist to lead the design and deployment of time series models forecasting website and app traffic at daily, weekly, and monthly levels. This is a high-impact, cross-functional role within a media organization, collaborating with teams across revenue, editorial, and product.
Key Responsibilities:
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Lead forecasting projects for monetizable traffic
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Build and deploy models at various time scales (daily, weekly, monthly)
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Audit and improve existing models
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Collaborate with stakeholders across journalism, commercial, and revenue teams
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Ensure models are production-ready using modern pipelines and tools
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Proven track record in time series forecasting (e.g., ARIMA, Prophet, LSTM)
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Strong experience with large datasets (e.g., traffic, engagement metrics)
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Model deployment experience in production environments
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Programming: Python (strong), SQL
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Cloud Platforms: GCP (BigQuery), AWS
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Deployment Tools: Airflow, DBT, GitHub
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Collaboration Tools: JIRA, Slack, Notion
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Strong understanding of model evaluation (RMSE, MAPE, cross-validation)
To Apply for this Job Click Here
Senior Product Analyst
London
£85000 - £95000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
SENIOR PRODUCT ANALYST – LONDON
UP TO £95,000
THE COMPANY
We are supporting a high-growth subscriptions business on a key Senior Product Analyst hire.
THE ROLE
The successful Senior Product Analyst responsibilities will include:
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YOUR SKILLS AND EXPERIENCE
The successful Senior Product Analyst will have the following skills and experience:
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- Familiarity with data visualization tools (e.g., Tableau, Power BI)
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THE BENEFITS
The successful Senior Product Analyst will receive a salary of up to £95,000, plus an array of additional benefits.
HOW TO APPLY:
Please register your interest by sending your CV to Harry Mincer via the apply link below.
To Apply for this Job Click Here
Technical CRM Automation Manager
Leicester
£50000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentLeicester, Leicestershire
To Apply for this Job Click Here
Technical CRM Automation Manager
Location: Leicester (Hybrid – 2 days per week onsite)
Salary: £60,000 + 5% Bonus
The Company
A fast-scaling, private-equity backed consumer membership business is looking to strengthen its CRM capability with a technical lead. The platform provides exclusive benefits and discounts to a large, loyal user base and has expanded significantly across multiple verticals in recent years. Backed by ongoing investment in digital and CRM infrastructure, the company is focused on enhancing member engagement through personalised, data-driven marketing.
The Role
This is a hands-on Technical CRM Automation Manager role, responsible for building and optimising lifecycle campaigns across email, push, and in-app. You’ll lead CRM execution within Braze-owning API integrations, dynamic content logic, and data feeds-while working cross-functionally with analytics and commercial teams to deliver results against key engagement KPIs.
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Build and maintain multi-channel CRM journeys using Braze
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Manage segmentation, Liquid logic, event-based triggers, and Connected Content
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Oversee technical platform elements including API integrations and data feed maintenance
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Analyse campaign performance and execute A/B testing for ongoing optimisation
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Work closely with stakeholders to align CRM with broader growth and retention goals
Skills & Experience:
Essential:
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Proven experience in CRM automation or lifecycle marketing
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Advanced hands-on Braze expertise across email, push, and in-app
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Deep understanding of Liquid logic, modular templates, and journey logic
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Comfortable managing API connections and technical CRM integrations
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Analytical with a track record of improving performance through testing
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Familiarity with CDPs and broader marketing technology stack
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Experience in loyalty, membership, or subscription-based business models
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Understanding of trading performance and commercial marketing metrics
Interview Process:
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Virtual interview (45 mins)
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In-person interview with CRM case study
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Optional final session before offer
How to Apply
Send your CV to Daniel Abbasi via the Apply link on this page or reach out directly for more information.
To Apply for this Job Click Here
Machine Learning Engineer – Deep Learning
London
£550 - £700
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Contract Data Scientist – Forecasting, Deep Learning, Causal AI (Retail)
£600-700/day | 4 Months | Start ASAP | Inside IR35
RAPP is looking for a technically sharp, hands-on Data Scientist to join their agile consulting team supporting high-profile retail clients. This is a 4-month contract with the chance to work on impactful forecasting and causal AI projects within a fast-moving, agency-style environment.
What You’ll Be Doing:
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Designing and building custom forecasting models (XGBoost, deep learning, RL) for real-world retail scenarios
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Applying causal and graph-based methods to understand and optimise customer behaviour
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Working across the full stack of data science, from data wrangling to deployment
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Operating within a modern MLOps setup (Docker, CI/CD, AWS)
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Contributing to product-facing tooling (bonus if you’ve used JavaScript / Next.js / TypeScript)
What We’re Looking For:
-
Strong practical knowledge of deep learning fundamentals – ideally with PyTorch
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Experience building bespoke models for time series, tabular, image, or text data
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Hands-on forecasting experience with retail or consumer datasets
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Skilled in causal inference, graph AI, or reinforcement learning
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Comfortable deploying models in production environments
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Strong communicator, able to clearly explain technical choices and trade-offs
Nice to Have:
-
Exposure to JavaScript, TypeScript, or Next.js
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Prior work in a startup, agency, or consultancy environment
This is a fast-paced project with immediate impact – if you’re a data scientist who thrives on building models from scratch and solving tough commercial problems, this one’s for you.
To Apply for this Job Click Here
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