Pricing & Revenue Data Scientist
London / £400 - £500 day
INFO
£400 - £500
LOCATION
London
Contract
Senior Data Scientist - Optimisation (Contract)
Outside IR35 | £400-450 per day | 3-month initial term | Hybrid London (2-3 days on-site)
The brief
A global marketing-data organisation is upgrading the engine that matches millions of survey invitations to the right respondents. Your task: treat the matching pipeline as a full-scale optimisation problem and raise both accuracy and yield.
Core responsibilities
Model optimisation - refactor and improve existing matching/segmentation models; design objective functions that balance cost, speed and data quality.
Experimentation - set up offline metrics and online A/B tests; analyse uplift and iterate quickly.
Production delivery - build scalable pipelines in AWS SageMaker (moving to Azure ML); containerise code and hook into CI/CD.
Monitoring & tuning - track drift, response quality and spend; implement automated retraining triggers.
Collaboration - work with Data Engineering, Product and Ops teams to translate business constraints into mathematical formulations.
A typical day
Morning stand-up: align on performance targets and new constraints.
Data dive: explore panel behaviour in Python/SQL, craft new features.
Modelling sprint: run hyper-parameter sweeps or explore heuristic/greedy and MIP/SAT approaches.
Deployment: ship a model as a container, update an Airflow (or Azure Data Factory) job.
Review: inspect dashboards, compare control vs. treatment, plan next experiment.
Tech stack
Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow)
SQL (Redshift, Snowflake or similar)
AWS SageMaker → Azure ML migration, with Docker, Git, Terraform, Airflow / ADF
Optional extras: Spark, Databricks, Kubernetes.
What you'll bring
3-5+ years building optimisation or recommendation systems at scale.
Strong grasp of mathematical optimisation (e.g., linear/integer programming, meta-heuristics) as well as ML.
Hands-on cloud ML experience (AWS or Azure).
Proven track record turning prototypes into reliable production services.
Clear communication and documentation habits.
CONTACT
James Lipscombe
Recruitment Consultant
SIMILAR
JOB RESULTS
Research Scientist – Diffusion
London
£450 - £500
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Responsibilities
-
Design and develop foundational image/video diffusion ML models.
-
Train large-scale distributed models.
-
Build demos to showcase prototypes.
-
Manage large datasets for training.
-
Optimize and deploy models for production.
Key Qualifications
-
PhD in Computer Science or related field with strong publications in ML, Computer Vision, Robotics, or Graphics.
-
Expertise in generative models (image/video diffusion) and modern transformer architectures.
Preferred Qualifications
-
Experience with GANs, diffusion models, LLMs, and large-scale deep learning in PyTorch or similar.
-
Strong coding skills with fast ML experimentation.
To Apply for this Job Click Here
Research Scientist – 3D
London
£450 - £500
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Responsibilities
-
Design and build 3D foundational ML models.
-
Conduct large-scale distributed training of deep learning models.
-
Develop high-quality demos to showcase model capabilities and prototypes.
-
Manage, preprocess, and maintain large datasets for training and evaluation.
-
Optimize models for deployment, including performance tuning at test time.
Key Qualifications
-
Ph.D. in Computer Science or a related field, with a strong research track record in Machine Learning, Computer Vision, Robotics, or Graphics.
-
Solid understanding of 3D projective geometry.
-
In-depth experience with video and image generative diffusion models.
- Strong programming skills and the ability to rapidly iterate on machine learning experiments.
To Apply for this Job Click Here
Principal Software Engineer
City of London
£100000 - £120000
+ Data Engineering
PermanentCity of London, London
To Apply for this Job Click Here
PRINCIPAL SOFTWARE ENGINEER
CITY OF LONDON – 4/5 DAYS IN OFFICE
£100,000 – £120,000
Our client, a leading investment management firm specialising in sports trading, is looking for a talented individual to join their expanding technical team. This is a unique opportunity to apply your expertise to real-world sporting events and contribute to a company with exceptional team retention and a collaborative culture.
THE COMPANY:
Founded in THE 2000s, this organically growing investment management firm has carved out a niche in the dynamic world of sports trading. With a turnover exceeding £10 million last year, they trade globally across various sports. Their technical team of 30 is at the heart of their success, and these new roles are crucial as they continue to build out their core functions.
You’ll be joining a company that prides itself on a strong, fluid culture, offering significant autonomy and a genuine commitment to work-life balance and flexibility. Their high team retention speaks volumes about the supportive and engaging environment they’ve cultivated.
THE ROLE:
As a Principal Software Engineer, you’ll be instrumental in developing sophisticated predictive models that forecast the outcomes of sporting events. You’ll be working with strong quants coming from and statistics background, with a keen eye for problem-solving. You’ll work across the full stack, contributing to both front-end and back-end development.
This is a hands-on technical role and whilst a background in sports trading isn’t essential, an interest in sports, particularly in a quantitative context, would be a plus. You’ll be joining a collaborative environment where you have the opportunity to work cross-functionally and significantly impact the company’s core operations.
YOUR SKILLS AND EXPERIENCE:
The ideal Principal Software Engineer will have:
- Strong mathematical and statistical expertise, ideally from a quantitative background.
- Proficiency in C# and the .NET platform.
- Experience with JavaScript front-end frameworks, such as React.
- Solid understanding of Network Programming (TCP/UDP).
- Experience with Distributed Version Control systems (e.g., PlasticSCM, Git, Hg).
- A history of good tenure in previous roles.
HOW TO APPLY:
Please register your interest by sending your CV via the Apply link on this page.
To Apply for this Job Click Here
Lead Data Scientist
London
£80000 - £100000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
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.
To Apply for this Job Click Here
Senior Product Analyst – Marketplace
City of London
£65000 - £72000
+ Advanced Analytics & Marketing Insights
PermanentCity of London, London
To Apply for this Job Click Here
SENIOR PRODUCT ANALYST – MARKETPLACE
£65,000-72,000 + BONUS + BENEFITS
CENTRAL LDN
THE COMPANY
This is a fantastic opportunity at a leading tech provider / marketplace. This company uses cutting-edge technology and are at the forefront of their market, with a current focus on driving personalisation across the customer journey and product offering.
THE ROLE
As a Senior Product Analyst in this leading tech provider, you will play a key role within product analytics. More specifically, as a Senior Analyst you will be involved in the following:
- Improving testing and experimentation strategy, monitoring performance of new marketing campaigns, funnel performance and ab testing/causal impact
- Identifying key growth opportunity whilst fostering a great work culture and environment
- Working with stakeholders across various teams
- Delivering insights on customers including demographic, LTV and engagement
- Regularly conducting a/b tests and other experiments
- Analysis incl. statistical analysis with tools such as Python/R desirable
- Development of some reports/dashboards in Tableau
YOUR SKILLS AND EXPERIENCE
The successful Senior Analyst will have the following skills and experience:
- Significant experience in Data Analytics, ideally in product analytics
- Excellent understanding and previous practical implementation of a/b testing and experiment design/frameworks
- Experience with SQL and ideally Tableau or similar for visualisation
- A strong focus on Marketing Analytics ideal
- Excellent business judgement and strategic thinking, with the technical toolkit to enable delivery and strong experience in collaborating and co-ordinating across multiple business departments
- Excellent communication and stakeholder skills
BENEFITS
The successful Senior Product Analyst will receive a salary between £65,000 and £72,000. In addition to this, you will receive an extensive benefits package and the opportunity to work in a great working culture and environment steering the direction of analytics for the company.
HOW TO APPLY
Please register your interest by sending your CV to Dylan Butcher via the Apply link on this page.
To Apply for this Job Click Here
Senior Data Scientist
City of London
£350 - £450
+ Data Science & AI
ContractCity of London, London
To Apply for this Job Click Here
Senior Data Scientist
Location: Hybrid (London)
Type: Full-time
Startup: A fast-growing AI startup
We’re workan ambitious, early-stage startup building innovative AI solutions that help businesses unlock insights, automate processes, and drive smarter decisions. Backed by leading investors and fueled by a passion for solving real-world problems, we’re creating technology that makes AI accessible and impactful – and we want an experienced Senior Data Scientist to join our journey.
What You’ll Do
-
Lead the design, development, and deployment of advanced data science models and solutions.
-
Collaborate closely with cross-functional teams (engineering, product, design) to translate complex business challenges into data-driven strategies.
-
Explore large datasets to uncover patterns, trends, and actionable insights.
-
Develop prototypes and production-grade models for use cases such as predictive analytics, recommendation systems, and NLP applications.
-
Mentor and guide junior data scientists and analysts.
-
Stay up to date with the latest research, tools, and techniques in data science and machine learning.
What We’re Looking For
-
5+ years of experience in data science, machine learning, or a related field.
-
Strong proficiency in Python (or R) and experience with ML frameworks like scikit-learn, TensorFlow, or PyTorch.
-
Deep experience in building and deploying models at scale.
-
Solid understanding of statistics, experimentation, and data storytelling.
-
Experience working with cloud environments (AWS, GCP, or Azure).
-
Ability to thrive in a startup environment – self-starter, adaptable, and collaborative.
Why Join Us?
-
Competitive compensation, including meaningful equity.
-
Remote-friendly with flexible working hours.
-
Work on high-impact projects that apply AI to real-world problems.
-
Learning budget for conferences, courses, and books.
-
Supportive, innovative team culture that values curiosity and experimentation.
To Apply for this Job Click Here
Optimisation Data Analyst
London
£400 - £450
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Senior Data Analyst – Contract
Outside IR35 | £400-£450 per day | 3-month initial term | Hybrid London (2-3 days on-site)
What you’ll tackle
-
Analyse client demand & respondent behaviour to spot revenue, margin and completion-rate gains.
-
Build regression, clustering and causal models for pricing, yield and segmentation.
-
Produce dashboards/BAU reports tracking incentive spend, survey health and profit drivers.
-
Design & interpret A/B tests on incentives and matching logic; recommend refinements.
-
Turn insights into pricing rules, contract tweaks and product changes alongside Commercial, Product and Engineering.
Tech toolkit
Python (pandas, NumPy, scikit-learn) · SQL · Azure (migration in flight) · BI (Power BI/Tableau useful).
Ideal background
-
3-5 yrs (Minimum) analytics in trading, marketplace, media or e-commerce settings.
-
Strong SQL and Python for big-data wrangling & modelling.
-
Solid grasp of statistics, pricing or yield optimisation.
-
Clear, concise communicator who can translate numbers into action.
-
Curious mindset-happy to reverse-engineer legacy logic and propose smarter approaches.
To Apply for this Job Click Here
Pricing & Revenue Data Scientist
London
£400 - £500
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Senior Data Scientist – Optimisation (Contract)
Outside IR35 | £400-450 per day | 3-month initial term | Hybrid London (2-3 days on-site)
The brief
A global marketing-data organisation is upgrading the engine that matches millions of survey invitations to the right respondents. Your task: treat the matching pipeline as a full-scale optimisation problem and raise both accuracy and yield.
Core responsibilities
-
Model optimisation – refactor and improve existing matching/segmentation models; design objective functions that balance cost, speed and data quality.
-
Experimentation – set up offline metrics and online A/B tests; analyse uplift and iterate quickly.
-
Production delivery – build scalable pipelines in AWS SageMaker (moving to Azure ML); containerise code and hook into CI/CD.
-
Monitoring & tuning – track drift, response quality and spend; implement automated retraining triggers.
-
Collaboration – work with Data Engineering, Product and Ops teams to translate business constraints into mathematical formulations.
A typical day
-
Morning stand-up: align on performance targets and new constraints.
-
Data dive: explore panel behaviour in Python/SQL, craft new features.
-
Modelling sprint: run hyper-parameter sweeps or explore heuristic/greedy and MIP/SAT approaches.
-
Deployment: ship a model as a container, update an Airflow (or Azure Data Factory) job.
-
Review: inspect dashboards, compare control vs. treatment, plan next experiment.
Tech stack
Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow)
SQL (Redshift, Snowflake or similar)
AWS SageMaker → Azure ML migration, with Docker, Git, Terraform, Airflow / ADF
Optional extras: Spark, Databricks, Kubernetes.
What you’ll bring
-
3-5+ years building optimisation or recommendation systems at scale.
-
Strong grasp of mathematical optimisation (e.g., linear/integer programming, meta-heuristics) as well as ML.
-
Hands-on cloud ML experience (AWS or Azure).
-
Proven track record turning prototypes into reliable production services.
-
Clear communication and documentation habits.
To Apply for this Job Click Here
Product Manager
London
£55000 - £62000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Product Manager – Operations / Supply Chain – London (Hybrid)
Operations Tools | Fulfilment | Inventory | Automation | Supply Chain Tech
Salary – £55,000 – £62,000
We’re working with a fast-growing scale-up in the sustainable food space that’s looking to hire a Product Manager focused on operations and supply chain tooling.
This is a high-impact role, owning the development of products that drive operational efficiency across fulfilment, logistics, inventory and planning. You’ll be translating business challenges and data insights into product requirements, working across engineering, data, sourcing and ops teams to build scalable backend and supply chain systems.
The team is looking for someone product-minded and user-centric, with a strong problem-solving instinct and a bias for shipping value quickly. It’s a collaborative environment with lots of scope to shape product and process strategy in a growing, purpose-led business.
Key experience required:
-
Experience working on backend/ops/supply chain tools within a physical product business
-
Strong understanding of service design, UX, APIs, and data
-
Comfortable working on MVPs and iterations in a scale-up environment
-
Able to work cross-functionally across product, ops, data and engineering
-
Confident working independently and bringing clarity to ambiguous challenges
You must be based in the UK and open to working 2+ days a week in their South London HQ.
To Apply for this Job Click Here
Graduate Data Analyst
London
£25000 - £35000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Graduate Data Analyst – London – Full-Time, Office-Based
Excel | Data Cleaning | Reporting | Quantitative Analysis | Litigation Support
Salary – £25,000 – £35,000
We’re working with a boutique data analytics consultancy that partners with top law firms on high-profile commercial and regulatory disputes. They’re now looking for a Graduate Data Analyst to join their growing team in Central London.
This is a fantastic opportunity for a numerically minded graduate to launch a career in data analytics, combining forensic analysis with client-facing work. You’ll be working on complex data sets, helping to quantify financial claims and support legal investigations.
The role is office-based and sits within a small, high-performing team backed by the stability of a well-established financial services group.
What you’ll be doing:
-
Reviewing and cleaning datasets from clients and third parties
-
Performing financial analysis to assess overcharging and commercial losses
-
Producing clear, structured outputs in Excel and Word for legal and client use
-
Supporting assumptions and models with logical frameworks when data is incomplete
-
Liaising with law firms, clients and data suppliers to gather and validate inputs
What they’re looking for:
-
A 2:1 degree or higher in a quantitative subject (Maths, Physics, Economics, etc.)
-
Strong Excel skills (pivot tables, array formulas, nested functions)
-
Some experience with R, Python, SAS or Stata is desirable
-
Great attention to detail and clear written communication
-
Analytical mindset with a genuine interest in problem solving
Applicants must have full UK working rights.
If you’re looking to apply your academic background to real-world problems and work in a fast-paced, analytical environment – get in touch to find out more
To Apply for this Job Click Here
Digital Product Analyst
London
£45000 - £50000
+ Digital Analytics
PermanentLondon
To Apply for this Job Click Here
Digital Product Analyst – Retail & eCommerce – London (Hybrid)
Product Analytics | SQL | GA4 | A/B Testing | PowerBI | Stakeholder Engagement
Salary up to £50,000
We’re working with a major retail group looking to hire a Digital Product Analyst to join their digital analytics team.
In this role, you’ll work closely with digital product managers, UX and experimentation teams to deliver actionable insights that help improve the customer journey across multiple brands. You’ll be responsible for supporting the development of dashboards, analysing performance, and identifying optimisation opportunities across their ecommerce platforms.
You’ll also assist in the interpretation of A/B test results and help build out a data-led approach to product development in a fast-paced and collaborative environment.
Key experience required:
-
Experience in a digital or product analytics role, ideally within ecommerce or retail
-
Comfortable working with SQL, GA4 and BigQuery
-
Familiarity with A/B testing platforms such as Optimizely
-
Skilled in data visualisation using PowerBI, Tableau or Looker
-
Strong communication skills, with the ability to work cross-functionally
Candidates must be based in the UK with full right to work.
To Apply for this Job Click Here
Senior Digital Product Analyst
London
£55000 - £65000
+ Digital Analytics
PermanentLondon
To Apply for this Job Click Here
Senior Digital Product Analyst – Retail & eCommerce – London (Hybrid)
Product Analytics | SQL | GA4 | A/B Testing | PowerBI | Stakeholder Engagement
Salary up to £65,000
We’re working with a major retail group looking to hire a Senior Digital Product Analyst to join their growing digital analytics function.
This is a key role partnering closely with the digital product and UX teams across multiple household-name brands. You’ll take ownership of product performance analysis, build dashboards, and generate insights that directly influence optimisation initiatives and the broader digital roadmap.
You’ll also support A/B testing strategy, collaborating with experimentation teams to interpret results and identify key customer journey insights. This is a great opportunity for someone who enjoys a mix of hands-on analysis and stakeholder engagement in a fast-paced, high-growth environment.
Key experience required:
-
Strong experience in digital or product analytics, ideally in ecommerce or retail
-
Proficient in SQL, with experience using GA4 and BigQuery
-
Exposure to A/B testing platforms such as Optimizely
-
Strong data visualisation skills (PowerBI, Tableau or Looker)
-
Confident communicating insights to senior stakeholders and product teams
Candidates must be based in the UK with full right to work.
To Apply for this Job Click Here
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