SQL skills Expertise with BI tool such as Looker or Tableau, from data transformation & modeling to creating measures to data visualization & insights Experience in R or Python Deep knowledge of experimental design and causal inference methods Experience in data management, analytics, data science and reporting Experience in using advanced analytics more »
process and analyse data efficiently Be a data modelling expert who can shape data for stakeholder needs using LookML/SQL/Python/R Proficient in using BI tools (e.g. Looker or similar) to build reporting dashboards and define metrics for end-user adoption Be detail-oriented with analytical more »
Birmingham, England, United Kingdom Hybrid / WFH Options
Intellect Group
in Computer Science, Statistics, Mathematics, or a related field. 4 years of experience in data science or a similar role. Proficiency in Python or R for data analysis and modelling. Strong skills in SQL and data manipulation tools such as pandas. Familiarity with machine learning techniques and algorithms. Exceptional problem more »
experience in quantitative finance or a related role, with a focus on developing and implementing quantitative trading models and strategies. Strong proficiency in Python, R, or similar languages, with experience in relevant quantitative finance libraries and frameworks. In-depth understanding of financial markets, instruments, and risk management principles, as well more »
successful completion, learners will be awarded the Data Analyst including Power BI Level 4 apprenticeship. Tools and technologies learned: Learners will learn to use R programming language, Python, Microsoft SQL Azure and Excel. Have the scope to develop on to Level 5 and Level 6 qualifications should you chose to more »
science, problem definition, data acquisition & wrangling, modelling, feature engineering and deployment What’s equally relevant is programming knowledge and a gift for coding using: R, Python, SQL, SAS or Spark You’ll also need the capability to deliver projects, collaborate with operational teams and be able to explain technical concepts more »
ability to translate complex data into actionable strategies. Excellent communication skills to present data insights to stakeholders. Nice To Haves Proficiency in SQL, Python, R, or other statistical programming languages. Prior experience in media analytics, particularly within a podcasting or digital content creation environment. Knowledge of content recommendation algorithms and more »
persuasively General & Specialist Knowledge Strong technical skills, proficient in various programming languages, frameworks, and tools for data analysis ad AI development, such as Python, R, TensorFlow, PyTorch, Scikit-learn, etc; Familiar with various data sources, formats, and standards, such as APIs, JSON, XML, CSV, etc, and detail orientated; Experience in more »
to optimize data analysis. - Collaborate with engineering and product teams to implement models into production systems. - Clean, process, and analyze large datasets using Python, R, SQL, and TensorFlow. - Present findings and insights to non-technical stakeholders in a clear and compelling manner. - Continuously enhance models based on feedback and real more »
or higher in quantitative finance, mathematics, computer science, physics, or a related field. Solid programming skills in languages such as Python, C++, Java, or R, with a strong emphasis on object-oriented programming and algorithm development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with more »
knowledge of applied modelling and analytics experience in applicable industry Have good understanding of statistical methods applied to data analysis Have user experience of R, Python, SAS, SPSS or equivalent analytic software. Have understanding of various statistical methodologies including linear regression, logistic regression, and other advanced analytic techniques Have good more »
Master’s degree in business or other applicable discipline Hands-on analytical experience Power BI or comparable BI software (Tableau, Looker, Qlik, etc) SQL, R, Python or equivalent statistical modeling tools (e.g., Regress, SAS, etc more »
Proficiency in developing predictive and prescriptive analyses using advanced analytical techniques such as machine learning and predictive modelling. Strong programming skills in languages like R, Python, and SQL. Interest in a range of machine learning methodologies, with a focus on areas like natural language processing or computer vision. Solid understanding more »
making and its associated algorithms is essential Strong understanding of financial markets, trading dynamics, and market microstructure. Proficiency in programming languages such as Python, R, or C++, with experience in quantitative libraries and tools (e.g., NumPy, pandas, TensorFlow). Experience with data analysis, statistical modeling, and machine learning techniques applied more »
or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience writing complex SQL queries Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED more »
of the Google Drive suite, including Google Slides & Google Sheets Experience with Tableau or other data visualisation tools is a plus Experience with SQL, R, or SAS is a plus Deep passion for the sports industry POSITION DETAILS: Full Time Must be eligible to work in the UK WORKING CONDITIONS more »
/PhD) in Statistics, Economics or other quantitative discipline Database marketing experience/knowledge Ability to program in newer and emerging languages such as R and Python; working knowledge of Hadoop and other big data technologies Additional Information About Epsilon Epsilon is a global advertising and marketing technology company positioned more »
analysis and BI tools, such as JMP, Tableau, Power BI, Kibana, Grafana, etc. Proficiency analyzing data and creating statistical analysis models: Correlation Analysis, Regression (R-squared), time series forecasting, etc. Extensive professional experience in network engineering with a focus on traffic engineering. In-depth knowledge of network protocols, routing algorithms more »
analysis and BI tools, such as JMP, Tableau, Power BI, Kibana, Grafana, etc. Proficiency analyzing data and creating statistical analysis models: Correlation Analysis, Regression (R-squared), time series forecasting, etc. Extensive professional experience in network engineering with a focus on traffic engineering. In-depth knowledge of network protocols, routing algorithms more »
analysis and BI tools, such as JMP, Tableau, Power BI, Kibana, Grafana, etc. Proficiency analyzing data and creating statistical analysis models: Correlation Analysis, Regression (R-squared), time series forecasting, etc. Extensive professional experience in network engineering with a focus on traffic engineering. In-depth knowledge of network protocols, routing algorithms more »
analysis and BI tools, such as JMP, Tableau, Power BI, Kibana, Grafana, etc. Proficiency analyzing data and creating statistical analysis models: Correlation Analysis, Regression (R-squared), time series forecasting, etc. Extensive professional experience in network engineering with a focus on traffic engineering. In-depth knowledge of network protocols, routing algorithms more »
analysis and BI tools, such as JMP, Tableau, Power BI, Kibana, Grafana, etc. Proficiency analyzing data and creating statistical analysis models: Correlation Analysis, Regression (R-squared), time series forecasting, etc. Extensive professional experience in network engineering with a focus on traffic engineering. In-depth knowledge of network protocols, routing algorithms more »
analysis and BI tools, such as JMP, Tableau, Power BI, Kibana, Grafana, etc. Proficiency analyzing data and creating statistical analysis models: Correlation Analysis, Regression (R-squared), time series forecasting, etc. Extensive professional experience in network engineering with a focus on traffic engineering. In-depth knowledge of network protocols, routing algorithms more »
analysis and BI tools, such as JMP, Tableau, Power BI, Kibana, Grafana, etc. Proficiency analyzing data and creating statistical analysis models: Correlation Analysis, Regression (R-squared), time series forecasting, etc. Extensive professional experience in network engineering with a focus on traffic engineering. In-depth knowledge of network protocols, routing algorithms more »
analysis and BI tools, such as JMP, Tableau, Power BI, Kibana, Grafana, etc. Proficiency analyzing data and creating statistical analysis models: Correlation Analysis, Regression (R-squared), time series forecasting, etc. Extensive professional experience in network engineering with a focus on traffic engineering. In-depth knowledge of network protocols, routing algorithms more »
