Senior Data Scientist

Harnham
London, UK
11 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£104,000.0 - £130,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Airflow Data Analysis Big Data Cloud Computing Python (Programming Language) Machine Learning Tensorflow SQL Databases Google Cloud Cloud Platform System Pytorch
+5 more
Deep Learning Scikit Learn Machine Learning Operations Software Version Control Data Pipelines

Job description

  • Lead the design and delivery of advanced machine learning and AI solutions that drive measurable business outcomes.
  • Develop, optimise, and deploy machine learning models and scalable ML pipelines.
  • Build and maintain machine learning infrastructure, ensuring strong governance, version control, and model lifecycle management.
  • Apply advanced statistical modelling and experimentation techniques to solve complex business and marketing challenges.
  • Partner with technical and non-technical stakeholders to translate data requirements into effective solutions.
  • Provide technical leadership, mentor data scientists, and contribute to the development of reusable data science approaches., If you are an experienced Senior Data Scientist looking to deliver impactful machine learning and AI projects, apply today to learn more. Not what you are looking for?

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Requirements

  • Strong experience in data science, machine learning, artificial intelligence, and advanced analytics.
  • Expertise in Python and SQL for data analysis, modelling, and production-grade solutions.
  • Experience designing, deploying, and maintaining machine learning models in cloud environments.
  • Strong knowledge of Google Cloud Platform, with exposure to cloud-based machine learning services.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Knowledge of pipeline orchestration and data workflow tools such as Airflow, Dataform, or dbt.
  • Experience delivering advanced measurement and modelling solutions, including marketing mix modelling, incrementality testing, causal impact analysis, attribution modelling, propensity modelling, churn analysis, or predictive lifetime value modelling.
  • Strong stakeholder engagement and communication skills, with the ability to explain complex technical concepts clearly.
  • Experience working with large datasets and translating insights into business value.
  • Ability to work independently while collaborating effectively within cross-functional teams.

About the company

They are a data-driven consulting and analytics organisation that helps clients make smarter decisions through advanced measurement, machine learning, and AI solutions. Their teams work across data, analytics, engineering, and consulting disciplines to solve complex business challenges. They foster a collaborative environment where innovation, knowledge sharing, and professional development are highly valued. You will have the chance to work with a broad range of stakeholders on cutting-edge data projects.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.reed.co.uk

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