1 to 25 of 39 Statistics Jobs in the East Midlands

drive data-driven decision making. Knowledge of statistical analysis and modelling techniques. Strong understanding of data warehousing, data modelling and data governance principles and practices. Desirable requirements: Degree inMathematics, Statistics, Economics or Computer Science etc Microsoft Azure experience Experience working within the Higher Education sector. Why Arden: At Arden, you will become a part of a passionate and dedicated team More ❯

on Friday. Responsibilities Query and analyse high volumes of data using an efficient, reliable and commented approach (SQL, Python, R is a plus). Choose and define appropriate methodologies, statistics/metrics and visualisations to accurately understand our players' behaviour, needs and/or expectations. Design and develop Dashboards aiming to be clear and impactful using BI Tools (Power BI … qualitative and quantitative data in User Research/Playtest reports. Design new tools and help build new methodologies to steer GamesLab's innovation. Requirements Advanced degrees in Computer Science, Statistics, Information Systems Management, AI/Machine Learning/Deep Learning, a related discipline, or comparable work experiences. Curious and committed, you have a strong ability to adapt and learn. You More ❯

Help lead junior analysts and prioritise teams workload as well as your own, based on business and client needs Desirable: A bachelor’s degree in a numeric subject (Mathematics, Statistics, etc.) or equivalent Experience working within credit risk/debt recovery industry Working knowledge of Python and/or R Experience using data visualisation tools such as Tableau or PowerBI More ❯

business experience (1+ years) within a data scientist role, solving problems through data. Good understanding of machine learning modelling techniques & proven experience deploying these within a business Adept in statistics and experience of using statistical techniques Experience of analysing large datasets and communicating complex algorithms and methodologies to key technical and non-technical stakeholders. A detail oriented, highly logical, and More ❯

with various stakeholders to extract, analyse, and interpret complex data sets to inform decision-making and policy development. What you'll need to succeed Strong background in data analysis, statistics, or data science. Proficiency in tools such as SQL, Python, R, and Power BI or Tableau. Experience with predictive modelling and machine learning techniques. Excellent communication skills and the ability More ❯

Be a good problem solver Have strong time management skills, with the ability to juggle multiple projects at once Desirable: A bachelor's degree in a numeric subject (Mathematics, Statistics, etc.) or equivalent Experience working within credit risk/debt recovery industry Working knowledge of Python and/or R Experience with legal systems such as Liberate Disclosure will be More ❯

machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn. Proficiency in data manipulation and analysis using tools such as Polars, Pandas, NumPy, or SQL. Solid understanding of algorithms, statistics, and data structures. Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Knowledge of CI/CD pipelines and version control systems (e.g. Git). Familiarity with More ❯

can then make data driven decisions upon. The successful candidate will be able to demonstrate: A Degree in a subject with Data Analysis at its core (ie. Computer Science, Statistics, Data Science etc.) That you live in commuting distance to Newport Pagnell 3+ years' experience in a similar role and possess a genuine passion for data analysis and progressing your More ❯

Experience applying statistical methods such as linear regression, KMM, forecasting models, and experimentation. Strong communication skills with the ability to simplify complex analysis for business audiences. Degree in Mathematics, Statistics, Economics or related quantitative field. Desirable: Experience working with SageMaker or similar cloud-based ML platforms. Prior experience in subscription or membership-based consumer businesses. Exposure to marketing mix modelling More ❯

SUMMARY This position is responsible for leading and managing a small team of Computational Scientists. The team supports pharmaceutical development programs, clients, and academic/regulatory collaborations through modelling, statistics, data science, and software development activities. JOB DETAILS/RESPONSIBILITIES Job descriptions reflect approximately 85% of the responsibilities and are not exhaustive. Other activities within reasonable scope of the role … and internal research and development projects in the field of computational pharmaceutics. Act as the primary point of contact for problem solving related to computational pharmaceutics (including data analysis, statistics, and physiologically based pharmacokinetic modelling). Author and review computational reports for scientific and technical accuracy, and review reports from other teams within your area of expertise. Present results to More ❯

build dashboards that enable clients to make data-driven decisions. The successful candidate will be able to demonstrate: A Degree in a Data Analysis-related subject (e.g., Computer Science, Statistics, Data Science) Residency within commuting distance to Newport Pagnell 3+ years' experience in a similar role with a passion for data analysis and career progression Strong Power BI, SQL, and More ❯

Experience & Mindset: 4 years of experience in developing data science models, including NLP models, and deploying them in a production environment Bachelors degree in computer science, data science, mathematics, statistics, engineering or related field Proficiency in writing clean, robust, and scalable Python packages for backend functionality Experience with Python data science and NLP libraries Expertise in software development practices such More ❯

Experience & Mindset: 4 years of experience in developing data science models, including NLP models, and deploying them in a production environment Bachelors degree in computer science, data science, mathematics, statistics, engineering or related field Proficiency in writing clean, robust, and scalable Python packages for backend functionality Experience with Python data science and NLP libraries Expertise in software development practices such More ❯

Experience & Mindset: 4 years of experience in developing data science models, including NLP models, and deploying them in a production environment Bachelors degree in computer science, data science, mathematics, statistics, engineering or related field Proficiency in writing clean, robust, and scalable Python packages for backend functionality Experience with Python data science and NLP libraries Expertise in software development practices such More ❯

Experience & Mindset: 4 years of experience in developing data science models, including NLP models, and deploying them in a production environment Bachelors degree in computer science, data science, mathematics, statistics, engineering or related field Proficiency in writing clean, robust, and scalable Python packages for backend functionality Experience with Python data science and NLP libraries Expertise in software development practices such More ❯

Experience & Mindset: 4 years of experience in developing data science models, including NLP models, and deploying them in a production environment Bachelors degree in computer science, data science, mathematics, statistics, engineering or related field Proficiency in writing clean, robust, and scalable Python packages for backend functionality Experience with Python data science and NLP libraries Expertise in software development practices such More ❯

and non technical stakeholders. What You’ll Bring PhD is highly preferred! Strong experience building and implementing forecasting models using modern ML techniques. Deep understanding of time series analysis, statistics, and forecasting methodologies. Comfort working in a collaborative, cross-functional environment. Please note, this role cannot offer sponsorship at this stage #J-18808-Ljbffr More ❯

by relaying valuable feedback to product teams. Proven experience in leading successful projects. Strong understanding of Pre-Sales activities. Bachelor’s degree in Computer Science, Information Technology, Information Systems, Statistics, Mathematics, Business, or a related field. MBA is a plus. Familiarity with marketing and bank technology systems is a plus. Please note that if you are NOT a passport holder More ❯

understanding of best practises within data; Code Review, Documentation and Data Quality About you: You will be an analytical person. You will have a degree in Computer Science, Mathematics, Statistics or other relevant fields. You will be a good communicator, comfortable presenting and sharing ideas with other team members and senior stakeholders. You will have strong experience of using Python More ❯

collaborate with people that do is important). Work closely with data analysts and scientists, contribute to data models and testing of outputs. EDUCATIONAL QUALIFICATIONS: Bachelor’s Degree in Statistics, Computer Science, Information Technology or any other related discipline or equivalent related experience. WORK EXPERIENCE: Experience of directly-related or relevant experience, preferably in healthcare data analytics or data engineering. More ❯

of requirement specifications for review * Working on site in Lincoln The person: * Degree educated in Data Analytics/Data Science or a closely related field such as Mathematics or Statistics * Personable character who has an analytical mind and is mathematically sound Reference Number: BBBH - BBBH(phone number removed) To apply for this role or to be considered for further roles More ❯

of requirement specifications for review * Working on site in Lincoln The person: * Degree educated in Data Analytics/Data Science or a closely related field such as Mathematics or Statistics * Personable character who has an analytical mind and is mathematically sound Reference Number: BBBH - BBBH252043 To apply for this role or to be considered for further roles, please click \"Apply More ❯

either R or python (we use both, as needed), and be familiar with collaborating with other team members using git. Have practical experience of applying things like machine learning, statistics, data wrangling, and dashboarding to real-world problems. Be familiar with communicating technical results to non-technical audiences, including making recommendations where supported with data. With over 19,000 staff More ❯

a good understanding of statistical methods and know when and how to apply them appropriately. You understand the limitations of both human and digital data sources and use summary statistics to clearly explain data and its variations. You are able to understand and replicate existing analyses, identify problems in data or processes, and apply problem-solving methods to find and More ❯

Demonstrate analyses, investigates and resolves queries Advise managers on performance trends and suggests possible explanations Knowledge, training, Experience Educated to a degree level in a relevant subject (Information Science, Statistics) or equivalent experience in analytics. Experience of working in an informatics environment Evidence of knowledge or training to expert level in analytical software such as SQL server, Power BI, or More ❯