5 of 5 Remote Statistics Jobs in Lancashire

and Spark. Deep understanding of supply chain operations and the ability to apply data science methods to solve real-world business problems effectively. Strong foundational knowledge in mathematics and statistics, typically to at least MSc level, enabling rigorous analytical modelling. Demonstrated success driving cross-functional collaboration with product managers, engineers, and business stakeholders to deliver impactful, user-centric data products. … Science, Information Systems and/or equivalent formal training plus work experience BS & 5+ years of work experience MS & 4+ years of work experience Proficient with machine learning and statistics Proficient with Python, deep learning frameworks, Computer Vision, Spark Have produced production level algorithms Proficient in researching, developing, synthesizing new algorithms and techniques Excellent communication skills Desirable Qualifications Master's More ❯

mathematics problems and evaluate their outputs Evaluate the quality produced by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in statistics, arithmetic, algebra, geometry, calculus, probability, and inductive/deductive reasoning A completed or in-progress Masters and/or PhD is preferred but not required Note: Payment is made via More ❯

integrity, security, and GDPR compliance Coach and develop team members through regular feedback and performance reviews Key Requirements of the HRIS & Data Manager: Degree-level qualification (ideally in mathematics, statistics, or a related field) Strong experience in HR systems administration (Dayforce experience desirable) Proficiency in Power BI, SQL, and advanced Excel Excellent communication and presentation skills Proven team leadership experience More ❯

data pipelines and automated quality checks About You Minimum 1 year of commercial Data Science experience Strong hands-on Python (pandas, NumPy, scikit-learn) and SQL Sound understanding of statistics and forecasting Confident communicator - able to explain technical work clearly to non-technical audiences Why Apply Opportunity to build from scratch within a growing data function Exposure to cutting-edge More ❯

policies at all times. You'll be a great fit for the role if you have these skills: Analytical: You'll scrutinise large amounts of data where identifying important statistics and interpreting information is key Problem-Solving: You'll be required to tackle intricate problems which require critical thinking and creative solutions. Ability to find solutions and connect dots is More ❯