Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Pricing & Revenue Data Scientist

Harnham
London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Commercial Data Scientist – Optimisation

Senior Data Scientist

Pricing & Data Science Manager - Fully Remote

Pricing & Data Science Manager - Fully Remote

Pricing & Data Science Manager - Fully Remote

Pricing & Data Science Manager - Fully Remote

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

  1. Morning stand-up: align on performance targets and new constraints.

  2. Data dive: explore panel behaviour in Python/SQL, craft new features.

  3. Modelling sprint: run hyper-parameter sweeps or explore heuristic/greedy and MIP/SAT approaches.

  4. Deployment: ship a model as a container, update an Airflow (or Azure Data Factory) job.

  5. 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.

Desired Skills and Experience

Experience & skills checklist

3-5 + yrs optimisation/recommender work at production scale (dynamic pricing, yield, marketplace matching).

Mathematical optimisation know-how - LP/MIP, heuristics, constraint tuning, objective-function design.

Python toolbox: pandas, NumPy, scikit-learn, PyTorch/TensorFlow; clean, tested code.

Cloud ML: hands-on with AWS SageMaker plus exposure to Azure ML; Docker, Git, CI/CD, Terraform.

SQL mastery for heavy-duty data wrangling and feature engineering.

Experimentation chops - offline metrics, online A/B test design, uplift analysis.

Production mindset: containerise models, deploy via Airflow/ADF, monitor drift, automate retraining.

Soft skills: clear comms, concise docs, and a collaborative approach with DS, Eng & Product.

Bonus extras: Spark/Databricks, Kubernetes, big-data panel or ad-tech experience.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Future of Artificial Intelligence Jobs: Careers That Don’t Exist Yet

Artificial Intelligence (AI) has already transformed the global job market. From data scientists and machine learning engineers to AI ethicists and prompt engineers, many roles that seemed futuristic only a decade ago are now mainstream. Yet this is only the beginning. AI is progressing faster than any other technology in history, and the UK is at the forefront of its adoption, with government strategies, academic research, and private investment all accelerating growth. As generative AI, autonomous systems, robotics, and cognitive computing expand, completely new careers will emerge—jobs that don’t yet exist, but which will soon become central to how organisations, societies, and economies function. This article explores what those roles might look like, why they will matter, and how today’s professionals can prepare for careers that are still being invented.

Seasonal Hiring Peaks for AI Jobs: The Best Months to Apply & Why

The artificial intelligence sector has transformed from a niche technology field into one of the UK's most dynamic employment markets. With AI roles ranging from machine learning engineers to data scientists and AI product managers commanding average salaries between £45,000 and £120,000, timing your job search strategically can significantly impact your success rate. Understanding when companies typically hire for AI positions—and why these patterns exist—can give you a competitive edge in landing your dream role. Unlike traditional industries with predictable seasonal fluctuations, the AI job market follows distinct patterns driven by corporate budgets, educational cycles, and technological project timelines. This comprehensive guide explores the optimal months to apply for AI jobs in the UK, helping you align your career moves with industry hiring peaks.

Breaking Into Generative AI: A Beginner's Complete Guide to Starting Your Career in 2025/26

Are you fascinated by AI tools like ChatGPT, DALL-E, or Midjourney but unsure how to turn that interest into a career? You're not alone. The generative AI revolution has created thousands of new job opportunities across the UK, and many don't require a computer science degree or years of coding experience. Whether you're a recent graduate, considering a career change, or simply curious about this exciting field, this comprehensive guide will show you exactly how to break into generative AI jobs.