17 of 17 Statistics Jobs in Lancashire

storytelling skills, with the ability to influence at senior levels. A strategic mindset, with a proactive, solutions-focused approach. A degree (Bachelor's or Master's) in Data Science, Statistics, Computer Science, Business Administration, or a related field. (Desirable) Experience within SaaS, machine learning, or AI environments. The Perks 25 Days Holiday, increasing 1 day per year with service (up More ❯

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 ❯

technical environments by designing and deploying innovative machine learning-based models and AI solutions that directly deliver measurable value for their organizations. What You'll Do Strong grasp of statistics and probability fundamentals Solid understanding of machine learning algorithms for supervised and unsupervised learning Understanding of Transformer based models Experience developing AI agents Strong Python and SQL skills Experience with 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 ❯

Have Skills Database Knowledge: Experience with SQL Server or Oracle. Financial Domain: Working knowledge of the investment banking and finance sector. Analytics: Familiarity with Data Science , Machine Learning , and Statistics . Reporting Tools: Knowledge of Power BI . Project Management: The ability to work on multiple projects simultaneously. If you're ready to take the next step in your career More ❯

new technologies/concepts Nice to Have: Good working knowledge in SQL Server or Oracle or both Good working knowledge in investment banking and finance Good working knowledge in Statistics Good working knowledge in Power BI Ability to work in multiple projects Skills: Mandatory Skills: Snowflake, ANSI-SQL, Dimensional Data Modeling, Snowpark Container services, Snowflake-Data Science More ❯

to learn new technologiesconcepts Nice to have Good working knowledge in SQL Server or Oracle or both Good working knowledge in investment banking and finance Good working knowledge in Statistics Good working knowledge in Power BI Ability to work in multiple projects Skills Mandatory Skills : Snowflake,ANSI-SQL,Dimensional Data Modeling,Snowpark Container services,Snowflake-Data Science More ❯

learn new technologies concepts Nice to have Good working knowledge in SQL Server or Oracle or both Good working knowledge in investment banking and finance Good working knowledge in Statistics Good working knowledge in Power BI Ability to work in multiple projects Mandatory Skills: Snowflake, ANSI-SQL, Dimensional Data Modelling, Snowpark Container services, Snowflake-Data Science More ❯

learn new technologies concepts Nice to have Good working knowledge in SQL Server or Oracle or both Good working knowledge in investment banking and finance Good working knowledge in Statistics Good working knowledge in Power BI Ability to work in multiple projects More ❯

knowledge of Linux, UNIX, virtualization, and containerization. . Proficiency in Python, PHP, and web development. . Familiarity with BI tools, Grafana, and data visualization. . Background in data analysis, statistics, and mathematics. . Experience in financial services IT environments is essential. All of our opportunities require that applicants are eligible to work in the specified country/location, unless otherwise More ❯

IT operations. Strong knowledge of Linux, UNIX, virtualization, and containerization. Proficiency in Python, PHP, and web development. Familiarity with BI tools, Grafana, and data visualization. Background in data analysis, statistics, and mathematics. Experience in financial services IT environments is essential. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. More ❯

IT operations. Strong knowledge of Linux, UNIX, virtualization, and containerization. Proficiency in Python, PHP, and web development. Familiarity with BI tools, Grafana, and data visualization. Background in data analysis, statistics, and mathematics. Experience in financial services IT environments is essential. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. More ❯

and staying abreast of cutting-edge methodologies in data science and analytics, sharing knowledge with the team. Required Experience Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred). Deep understanding of probability, statistics, and linear algebra, with the ability to apply these concepts to real-world problems. Extensive proficiency in Python 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 ❯

new ideas that can make a difference. What You'll Need To Succeed 4+ years hands-on data science experience. Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. Significant proficiency in SQL and languages like Python, PySpark and/or Scala. Can lead, work independently as … team. Good communication and interpersonal skills for working in a multicultural work environment. It's Great if You Have PhD or MSc in Computer Science/Operations Research/Statistics or other quantitative fields. Experience in NLP, image processing and/or recommendation systems. Hands on experience in data engineering, working with big data framework like Spark/Hadoop. Experience More ❯