Data Scientist
Job in
Manchester, Greater Manchester, M9, England, UK
Listed on 2026-06-08
Listing for:
Addition
Contract
position Listed on 2026-06-08
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, Data Science Manager, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Role Overview :
Location:
Paddington (Hybrid) Package:
Day Rate Inside IR35
What You’ll Do:
Utilize advanced statistical and mathematical models to analyze intricate datasets, uncover meaningful patterns, and identify key trends. Design and implement rigorous experimentation frameworks, including A/B testing, to evaluate the effectiveness of various initiatives. Collaborate seamlessly with business stakeholders to understand challenges, translate insights into practical solutions, and develop scalable data pipelines using SQL, Python, and other key technologies. Communicate your findings clearly and persuasively to both technical teams and executive leadership, supporting strategic decision-making and continuous improvement.
Stay ahead of industry trends by expanding your expertise in cutting-edge developments in data science and predictive analytics.
Required Skills:
Expertise in causal inference, regression modeling, and econometrics Strong proficiency in SQL and Python (or R) for data manipulation and analysis Experience in designing and executing experiments and A/B testing Ability to develop and maintain data pipelines and analytical workflows Excellent communication skills for presenting insights to diverse audiences Proven track record of delivering impactful data projects and translating data into business strategies Nice to Have
Skills:
Experience in econometrics and difference-in-differences analysis Familiarity with cloud data platforms and visualization tools Knowledge of machine learning algorithms and advanced statistical techniques Previous experience in consulting or client-facing roles Preferred
Education and Experience:
Bachelor’s or Master’s degree in Statistics, Economics, Computer Science, or a related quantitative field Extensive applied experience in data science, preferably in a predictive analytics context Demonstrated success in delivering data-driven projects that drive tangible business results Other Requirements:
Ability to work collaboratively in a dynamic, fast-paced environment Self-motivated, adaptable, and solution-oriented mindset Ready to turn data into powerful insights and help shape the future of business? We’re eager to see what you can bring to our team—apply now and start making a difference!
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