data warehouses, data pipelines, preferably in a Financial Services or Wealth Management environment. Systems/Internal Processes Familiarity with programming languages such as Python, R or Java and with data analysis libraries (e.g. Pandas, NumPy, scikit-learn). Understanding of database technologies (ETL) and SQL proficiency for data manipulation, data more »
or a related role, showcasing your ability to turn data into strategic insights. Proficient in data science tools and programming languages such as Python, R, SQL, and familiar with cloud platforms like AWS or Azure. A natural communicator, capable of conveying complex data insights in simple, impactful ways to diverse more »
plus) An interest in helping clients better understand their customers and make business decisions based on this Desirable: Experience with SQL, Alteryx, Python or R Understanding how advanced analytics techniques (e.g. clustering, regression, machine learning, text analytics, predictive modelling) can be applied to client problems Experience in Microsoft Azure or more »
Twilio Segment) Analytic platforms (e.g. Azure, Dataiku) Social analytics tools (e.g. Netbase, Quid, BrandWatch, Meltwater) Intelligence tools (e.g. GWI, YouGov) Data analysis tools (e.g. R, Python, SQL) Digital marketing platforms (e.g. FB Ads Manager, LinkedIn, TikTok) Creating an inclusive environment We love what we do, and our people are what more »
Segment) Analytic platforms (e.g. Azure, Dataiku) Social analytics tools (e.g. Netbase, Quid, BrandWatch, Meltwater) Intelligence tools (e.g. GWI, YouGov, TGI) Data analysis tools (e.g. R, Python, SQL) Digital marketing platforms (e.g. FB Ads Manager (Meta), LinkedIn, Google Ads) Creating an inclusive environment We love what we do, and our people more »
Science, Computer Science, Statistics, or a related field. Experience working with geospatial data and GIS tools. Strong programming skills in languages such as Python, R, or Julia. Proficiency in SQL for data manipulation and extraction. Experience with machine learning techniques such as regression, classification, clustering, and time series analysis. Familiarity more »
for action, highly organized and ability to complete a high volume of tasks and projects with limited guidance and tight deadlines Experience with Python, R, VBA, or other automation-focused languages Exemplary verbal and written communication skills, fluent English is required Impeccable attention to detail, passion for processes, systems and more »
audit practice. As a trusted specialist, you will advise senior stakeholders on ways to automate and reimagine audits, implementing innovative technologies, such as Python, R, SQL, Alteryx, Power BI, Process Intelligence and Machine Learning. Building a strong understanding for the role data and analytics plays in the modern day audit. more »
audit practice. As a trusted specialist, you will advise senior stakeholders on ways to automate and reimagine audits, implementing innovative technologies, such as Python, R, SQL, Alteryx, Power BI, Process Intelligence and Machine Learning. Building a strong understanding for the role data and analytics plays in the modern day audit. more »
Data Scientist or similar role Strong knowledge of machine learning algorithms, statistical modelling, and data mining techniques. Proficiency in programming languages such as Python, R or Scala and familiarity with data science toolkits. Experience with data visualisation tools such as Tableau, PowerBI or Similar If you have the right skill more »
Greater London, England, United Kingdom Hybrid / WFH Options
Morgan McKinley
communication skills; as well as the ability to make good judgement and work with both technical and business personnel Working knowledge of SAS and R code used in data processing and modelling tasks Remarkable experience with Microsoft Azure platform (Databricks, AzureDevOps, Data Factory) Proficiency in SQL, Python, Spark (with either more »
Analyst Apprenticeship at Distinction or Merit Strong analytical skills with a passion for working with data. Basic knowledge of programming languages such as Python, R, or SQL. Familiarity with statistical concepts and techniques. Excellent communication and interpersonal skills. Ability to work independently and collaboratively in a fast-paced environment. Eagerness 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 »
experience with popular machine learning frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, or Keras. Strong programming skills in languages such as Python, R, or Java. Solid understanding of data manipulation, modeling, and analysis techniques. Familiarity with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) is a 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 »
attain a UK Security Clearance (5+ years residing in the UK) Proficiency in data analysis, data mining, and statistical techniques Proficiency utilising Python or R (2+ years' experience) Familiarity with conventional statistical models (linear/logistic regression, t-tests, ANOVA) Experience in collecting, organizing, and analysing data from diverse sources 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 »
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 »
around Martech, Generative AI and Data Migration. For you to be successful in this role you have to have hands on experience in Python, R, attribution modelling and mixed market modelling. Skills required: Experience delivering Marketing Effectiveness and Data projects a consulting firm within an Agency environment as you need more »
context Experience developing data warehouses & data marts using the Kimball methodology Experience or awareness of Big Data and Data Science related technologies, such as R or Azure Machine Learning, to design and implement predictive analytics models Excellent communication and problem solving skills There is a great opportunity for career development more »
develop and implement quantitative models and strategies. Conduct data analysis and research to support investment decisions. Utilize programming languages such as Python, SQL, and R to manipulate and analyze data. Assist in the development and maintenance of algorithmic trading systems. Stay updated on industry trends and advancements in quantitative finance 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 »
tools, providing valuable insights and recommendations. Work with modern & traditional database technologies and tooling, such as SQL, MongoDB etc as well as using Python, R, Tableau, Power BI. Utilise and expand project management skills in a dynamic startup environment Hybrid 3 days a week office based, so you can equally 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 »
SSAS). Write complex M query and DAX calculations to manipulate and transform data for analysis and reporting purposes. Integrate Python and/or R scripts into Power BI for data transformation and data visualization. Optimise performance of Power BI reports and dashboards to ensure fast load times and smooth more »
