London, England, United Kingdom Hybrid / WFH Options
Morgan McKinley
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 »
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 »
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 »
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 »
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 »
Microsoft Certified: Azure Data Engineer Associate, or similar. Experience with other data analytics tools and platforms (e.g., Tableau, Qlik). Knowledge of Python or R for data analysis and scripting. Familiarity with machine learning concepts and tools. How to Apply: If you are a skilled Power BI and Analytics Specialist more »
practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving skills. Attention to detail and a passion for working with data. Ability to work effectively in a team more »
practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving skills. Attention to detail and a passion for working with data. Ability to work effectively in a team more »
practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving skills. Attention to detail and a passion for working with data. Ability to work effectively in a team more »
TW1, St. Margarets and North Twickenham, Greater London, United Kingdom
Career Sprint
practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving skills. Attention to detail and a passion for working with data. Ability to work effectively in a team more »
*Intega IT Recruitment Ltd*I.T & Technology Recruitment Experts*
data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing and building ETL pipelines • 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 • Experience more »
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 »
theoretical and practical knowledge, intuition, ability to understand models and apply them).Expert programming skills in one or more analytical languages such as Python; R or alternative.Experience in cloud-based infrastructures such as AWS, Google Cloud, Microsoft Azure and confidence in Linux (bash, git docker) environments.The ability to adapt rapidly more »
and practical knowledge, intuition, ability to understand models and apply them). Expert programming skills in one or more analytical languages such as Python; R or alternative. Experience in cloud-based infrastructures such as AWS, Google Cloud, Microsoft Azure and confidence in Linux (bash, git docker) environments. The ability to more »
Mathematics, or a related field. Proven experience in a pricing analyst role, preferably within the insurance sector. Proficiency in machine learning tools (e.g., Python, R, SQL) and familiarity with actuarial principles. Strong analytical, problem-solving, and communication skills. Ability to work independently and collaboratively in a dynamic environment. more »
flexibility, agile mindset, teamwork, lean & 6Sigma principles, and actively pursue self-studies to maintain knowledge. The candidate: Proficiency in SQL, statistical modelling software (e.g., R, Python), Excel (advanced), Qlik Sense or Power BI gained in an analytics role. Strong verbal and written communication skills, translating detailed reporting outputs and statistics 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 »
years Demonstrated experience in data architecture or similar role Practical experience across a variety of platforms and languages i.e.Databricks, Snowflake, Azure, AWS, Oracle Cloud, R, Python or similar Understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving more »
learning methods, such as regularization, random forests, neural networks and deep learning. Ability to write algorithms and implement pipelines in Python. Knowledge of Scala, R, is a plus. Experienced in SQL. Familiarity with various relational database platforms is a plus (SQL Server, MySql, PostgreSQL, Oracle, Snowflake, Vertica, etc). Ability 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 »
Must offer track record of working (ideally) in the Insurance or Financial Services Industry Advanced experience in coding with SQL, Python and/or R Offer strong knowledge of AI, GenAI, NLP. Offer strong knowledge of Machine Learning and Deep Learning Offer good knowledge of ML Ops (Docker, Kubernetes, CI 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 »
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 »
skills, along with a good understanding of Machine Learning techniquesExperience using data platforms such as Databricks and SnowflakeExperience of scripting languages such as Javascript, R, Powershell or VBScriptExperience implementing RPA tools such as UiPath and Automation AnywhereExperience of Alteryx Server administrationExperience of ERP configuration & programming more »
