1 to 25 of 89 Permanent Statistics Jobs in the North West

scale retail datasets (e.g., POS, CRM, supply chain). Familiarity with tools like dbt, Airflow, or MLflow. Master’s or PhD in Data Science, Statistics, Computer Science, or related field. Benefits: Competitive salary and performance bonuses Flexible working options, including hybrid remote work (2 days in office) Employee discounts and More ❯

e.g. Tableau. Experience in model monitoring. (MLOPS experience would be desirable.) Have gained a master's in a quantitative field such as Computer Science, Statistics or related disciplines. Recruitment Process: Pre-screen call with the Head of Data Science. Technical Python Task TEAMS Interview Present the Technical Task, competency, live More ❯

scale retail datasets (e.g., POS, CRM, supply chain). Familiarity with tools like dbt, Airflow, or MLflow. Master's or PhD in Data Science, Statistics, Computer Science, or related field. Benefits: Competitive salary and performance bonuses Flexible working options, including hybrid remote work (2 days in office) Employee discounts and More ❯

impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field Strong mathematical and statistical skills Experience with Python, Spark and SQL Experience implementing and validating a range of machine learning More ❯

If you possess a combination of some of the following skills then, LETS TALK! Bachelors degree, PhD or Masters in Data Science, Computing, Mathematics, Statistics or related field. Previous commercial experience in Data Science. Proficiency in Python and strong command of SQL. Familiar with Git for version control. Knowledge of More ❯

If you possess a combination of some of the following skills then, LETS TALK! Bachelors degree, PhD or Masters in Data Science, Computing, Mathematics, Statistics or related field. Previous commercial experience in Data Science. Proficiency in Python and strong command of SQL. Familiar with Git for version control. Knowledge of More ❯

If you possess a combination of some of the following skills then, LETS TALK! Bachelors degree, PhD or Masters in Data Science, Computing, Mathematics, Statistics or related field. Previous commercial experience in Data Science. Proficiency in Python and strong command of SQL. Familiar with Git for version control. Knowledge of More ❯

impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field Strong mathematical and statistical skills Experience with Python, Spark, and SQL Experience implementing and validating a range of machine learning More ❯

marketing analytics. A STEM or financial background. A good fit may have a BSc, MSc, or PhD in one of the following areas: mathematics, statistics, chemistry, physics, economics, or finance. Analytical thinker with an ability for identifying patterns and drawing meaningful insights from data. Should have the ability to use More ❯

Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar software is preferred Proficient at communicating results in a concise manner both verbally and More ❯

language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. More ❯

in data science, with a track record of delivering strategic impact in an elite environment. Degree in a quantitative field (e.g. computer science, engineering, statistics, mathematics); or equivalent experience in data-intensive leadership roles. Proven ability to define and lead large-scale, strategic data initiatives aligned to business or sporting More ❯

working in a Finance firm, preferably Wealth Manager/Private Bank/Hedge Fund. Required Qualifications: Applicable Degree (e.g. Data Analytics, Business Intelligence, Finance, Statistics Relevant certifications (e.g. CBIP, CFA, Microsoft Data Analyst). 3 years experience in data analytics or business intelligence, preferably within a finance function. More ❯

data collection pre-processing, feature engineering, model selection, training, evaluation, and validation Who You Are: Have a master’s or PhD in Computer Science, Statistics, Physics, Machine Learning or related field. Proven track record of successfully leading Data/Machine Learning teams Experienced in building and deploying a variety of More ❯

Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a concise manner both verbally and More ❯

deliver bespoke insight analysis and reporting in Tableau for regular KPI and performance data. ?Ideal Candidate Profile: Education: Bachelors degree in Data Science (preferred), Statistics, Finance, Business, or a related field. Experience: 23 years in data analysis/reporting. Technical Skills: Proficient in SQL, Excel, and reporting tools like Tableau More ❯

Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Proven experience of modelling using WTW toolkit (Emblem and Radar) Proficient at communicating results in a concise manner both More ❯

to-water heat pumps and hot water systems A Master's degree or PhD in a quantitative field (like Data Science, Computer Science, or Statistics) is great - but equivalent experience is equally valued Why else you'll love it here: Wondering what the salary for this role is? Just ask More ❯

teams, including product specialists and sales professionals. Experience with customer research, or enthusiasm to develop these skills. Bachelor's degree in Business, Economics, Finance, Statistics, or related field (or equivalent practical experience) Preferred Qualifications: Experience with pricing in the accounting, payroll, or business software markets. Knowledge of pricing software tools. More ❯

drive analytical excellence within our front office. Required Skills and Experience: Advanced degree (PhD or MS) in a quantitative subject such as Mathematics, Physics, Statistics, Computer Science, Engineering, or a related field. Proven experience as a front-office quant within energy commodities trading, with a strong focus on quantitative analysis More ❯

drive analytical excellence within our front office. Required Skills and Experience: Advanced degree (PhD or MS) in a quantitative subject such as Mathematics, Physics, Statistics, Computer Science, Engineering, or a related field. Proven experience as a front-office quant within energy commodities trading, with a strong focus on quantitative analysis More ❯

drive analytical excellence within our front office. Required Skills and Experience: Advanced degree (PhD or MS) in a quantitative subject such as Mathematics, Physics, Statistics, Computer Science, Engineering, or a related field. Proven experience as a front-office quant within energy commodities trading, with a strong focus on quantitative analysis More ❯

drive analytical excellence within our front office. Required Skills and Experience: Advanced degree (PhD or MS) in a quantitative subject such as Mathematics, Physics, Statistics, Computer Science, Engineering, or a related field. Proven experience as a front-office quant within energy commodities trading, with a strong focus on quantitative analysis More ❯

drive analytical excellence within our front office. Required Skills and Experience: Advanced degree (PhD or MS) in a quantitative subject such as Mathematics, Physics, Statistics, Computer Science, Engineering, or a related field. Proven experience as a front-office quant within energy commodities trading, with a strong focus on quantitative analysis More ❯

REST APIs. Knowledge of descriptive and prescriptive analysis, understanding data distributions, machine learning algorithms, and building KPIs based on defined problems. Strong foundation in statistics, including probability, hypothesis testing, and ANOVA. Experience designing and building automated data processes, integrating various data sources in batch or real-time environments. Desirable Skills More ❯