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# Data Scientist

- **Company:** Hackajob Ltd
- **Location:** London, UK (Remote available)
- **Salary:** £61,000.0 - £101,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Data Analysis, Big Data, Cloud Computing, Cluster Analysis, Computer Programming, Data Mining, Data Visualization, Data Warehousing, Distributed Systems, R (Programming Language), Python (Programming Language), Machine Learning, SQL Databases, Deep Learning, Information Technology, Data Analytics
- **Published:** September 27, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5899594335

## About the Role

* Excellent analytical, problem-solving, and critical thinking skills.
 * PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
 * Experience using core machine learning techniques, such as regressions, classification, clustering, and deep learning.
 * Strong programming skills in languages such as Python, R, and SQL.
 * Familiarity with data science libraries and frameworks.
 * Detailed understanding of data mining, data warehousing, and data visualisation techniques.
 * Knowledge of Artificial Intelligence and its use within data science.
 * Strong communication skills with both technical and non-technical audiences.
 * Knowledge of cloud computing, distributed systems, and big data technologies.

## Description

* Sourcing, cleaning, and validating diverse datasets from various internal and external sources.
 * Conducting in-depth exploratory data analysis to uncover hidden patterns, identify trends, and generate actionable insights that inform strategic business decisions.
 * Developing and deploying robust statistical and machine learning models to address complex business challenges and drive innovative solutions.
 * Designing, implementing, and analysing A/B tests and other controlled experiments to measure the impact of new features, strategies, or models.
 * Contributing to the development and maintenance of scalable data science infrastructure.
 * Partnering closely with stakeholders to understand key business goals and translate them into effective, data-driven solutions.
 * Communicating complex findings and insights to technical and non-technical audiences through visualisations, reports, and presentations.
 * Researching and championing innovative data science techniques, tools, and methodologies.
 * Fostering a culture of continuous learning and innovation within the wider Data Analytics team.

Technologies:

 * Big Data
 * Cloud
 * HTTP
 * Support
 * Machine Learning
 * Python
 * SQL


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