technologies, including IoT and AI. • Proficient in data visualization tools such as Tableau, Power BI and Sigma. • Experience with programming languages such as Python, R, and/or Julia. • Familiarity with data processing frameworks like Spark or Hadoop is a plus. • Solid understanding of statistical analysis techniques, data mining methods more »
Cardiff, Caerphilly, Gwent, United Kingdom Hybrid / WFH Options
IntaPeople
collect, organise, analyse, and interpret large and complex data sets. • Proficiency in data management and analysis tools and programming languages such as SQL, Python, R, or SAS. • Experience with data visualisation tools such as Power BI (preferred), Tableau, or QlikView. • Solid understanding of statistical methods and techniques for data analysis. more »
field, preferably in the fintech industry. Proven track record of leading and delivering successful data science projects. Proficiency in programming languages such as Python, R, or Scala. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong knowledge of statistical modelling, data mining, and data visualization techniques. more »
Manchester, England, United Kingdom Hybrid / WFH Options
SYSTRA
in the UK and Ireland Data processing, analysis and visualization skills Strong problem-solving skills in relation to data science projects Proficiency in Python, R, C#, JavaScript or another programming language Proficiency with Git or similar source control systems SQL and Database experience Main Duties The primary role of a more »
role. Strong knowledge of machine learning algorithms, statistical modelling, and data mining techniques. Proficiency in data science toolkits and programming languages such as Python, R, SQL, and SAS. Previous project experience of ESG, Net-Zero Strong data visualisations with Tableau or Power BI Master’s degree in data science, Computer more »
Strong SQL querying experience both creating and updating and stored procedures Experience with Python (i.e. Jupyter) Exposure to statistical software such as SAS or R Healthcare Payer and/or Provider experience with claims, clinical and or quality data Strong analytical aptitude and an understanding of statistical methods Desire to more »
with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly more »
with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly more »
PhD is a plus. Experience: 3+ years of experience in data science, preferably within the energy or utilities sector. Technical Skills: Proficiency in Python, R, SQL, and big data technologies such as Hadoop, Spark, or Kafka. Experience with machine learning frameworks such as TensorFlow or PyTorch. Analytical Skills: Strong problem more »
visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms more »
visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms more »
visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms more »
visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms more »
visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms more »
reports, and presentations. What you’ll bring: Proven experience as a Data Scientist or similar role Proficiency in programming languages such as Python or R, along with libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Pandas. Strong knowledge of statistical analysis, hypothesis testing, and experimental design. Experience with more »
visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms more »
visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms more »
visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms more »
with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. In-depth knowledge more »
SQL and DBA) Data Analytics stack (IS, AS, RS) Power BI, DAX MDS Azure Data Lakes Supporting: Azure ML .Net/HTML5 Azure infrastructure R, Python Powershell Hadoop, Data Factory Principles: Data Modelling Data Warehouse Theory Data Architecture Master Data Management Data Science WHY ADATIS? There’s a long list more »
Newcastle upon Tyne, England, United Kingdom Hybrid / WFH Options
Verisure
degrees ; Strong knowledge of Microsoft Office package (Excel, Word and Power Point) and analysis and visualization tools (PowerBI); Knowledge of programming languages (e.g.: Python, R, etc.) oriented to statistical data analysis and visualization; Previous experience in Business Intelligence Environment; Experience working with relational databases; Fully proficient in English; Experience in more »
analytics and its application to improve outcome and reduce health inequalities. Advanced levels of expertise in use and application of analytical tools (SQL, Python, R, Power BI, Tableau), advanced statistical processes. Extensive experience of NHS health service commissioning and data flows and/or population health management Programme management experience more »
Iver, England, United Kingdom Hybrid / WFH Options
GRIDSERVE
BI tools, such as Power BI. Excellent communication and stakeholder engagement skills. Proficient in SQL and at least one of the following: Python or R Knowledge with EV charging systems, retail applications, and renewable energy products is a plus. Azure certification Is a plus. Exposure to non-Azure technologies and more »
in building predictive models and machine-learning, Knowledge of statistics and experience using statistical packages for analyzing datasets, Experience in data mining, Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset, Understanding of relevant statistical measures such as confidence intervals, significance of error, Excellent more »
collection systems and processes - Ensure data accuracy and compliance Qualifications - 2+ years data analysis experience, preferably in an agency - Proficient in SQL, Python or R for data work - Experience with visualization tools like Tableau, Power BI - Skilled in analytics platforms like GA4, Adobe Analytics - Strong communication abilities - Collaborative mindset - Degree more »
