big data technologies. Requirements: Proven experience as a Data Scientist or similar role. Proficiency with Databricks and its ecosystem. Strong programming skills in Python, R, or Scala. Experience with big data technologies such as Apache Spark, Databricks. Knowledge of SQL and experience with relational databases. Familiarity with cloud platforms (e.g. More ❯
or a related field. Proven experience as a Data Analyst or in a similar role. Proficiency in data analysis tools such as SQL, Python, R, and Excel. Experience with data visualisation tools like Tableau or Power BI. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability to More ❯
Analyst). Experience with other BI tools (e.g., Tableau, Qlik). Understanding of UI/UX principles for dashboard design. Experience with Python or R for data analysis is a plus. Familiarity with Agile/Scrum methodologies. More ❯
or a related field. Proven experience as a Data Analyst or in a similar role. Proficiency in data analysis tools such as SQL, Python, R, and Excel. Experience with data visualisation tools like Tableau or Power BI. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability to More ❯
Key Requirements: Proven experience (5+ years) in a data science role, preferably in the retail or e-commerce sector. Strong proficiency in Python or R, SQL, and data visualisation tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine More ❯
mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience with Databricks and working with large amounts of data. Ready to innovate in the field of data science and analytics More ❯
Strong command of data governance and quality management principles. Proficiency in SQL and visualization tools (e.g., Tableau, Power BI). Familiarity with Python or R and time-series databases. Strong problem-solving, communication, and leadership skills. Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure). Knowledge of machine learning More ❯
Data Visualization Knowledge*: Strong understanding of data visualization, including reports, dashboards, and interactive visualizations. 5. *Programming Skills*: Proficiency in programming languages, such as Python, R, or SQL. 6. *Communication*: Excellent communication skills, with the ability to communicate technical concepts to non-technical stakeholders. Nice to Have: 1. *Certifications*: Certifications in More ❯
physics, operational research, econometrics, statistics, or another quantitative field. Extensive experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience with Databricks and working with large amounts of data. Ready to lead and innovate in the field of data science More ❯
crimes/AML space, with a minimum of 3-5 years in data analysis roles. Proficiency in data analytics tools such as SQL, Python, R, and SAS. Experience with data visualization tools like Tableau. Strong understanding of AML/KYC regulations and practices. Excellent analytical and problem-solving skills, with More ❯
best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: Integrate data from various sources, including relational databases, APIs, and streaming data sources. Implement data integration patterns and best practices. More ❯
in Data Science, Statistics, Mathematics, or a related field. 2+ years of experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation tools. Experience with machine learning models and statistical analysis. Preferred Skills: Familiarity with AWS and experiment design. Strong problem-solving and More ❯
Skills & Experience Required ✅ Proven experience in AI and machine learning, with a strong portfolio of successful projects. ✅ Proficiency in programming languages such as Python, R, and Java. (Python is a must have!) ✅ Experience working with AI frameworks and libraries. ✅ Strong analytical and problem-solving skills. ✅ Excellent communication and interpersonal skills. More ❯
AI. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Proficiency in programming languages such as Python, R, or Java. Strong understanding of mathematics and statistics. Experience with machine learning frameworks like TensorFlow, Keras, or PyTorch. Knowledge of data analysis and visualization tools More ❯
ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and More ❯
automated AI systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn). Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics More ❯
for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with More ❯
Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role looks of More ❯
and stakeholder manager. Desirable: - Experience in digital, audio, or media sectors. - Familiarity with A/B testing or statistical methods. - Exposure to Python or R for analytics or statistical testing. - Understanding of CRM or marketing tools (Braze, HubSpot) or attribution modelling. Benefits: - Up to £60,000 salary - Hybrid working from More ❯
engineering. Experience in designing and developing AI systems, including machine learning, deep learning, and neural networks. Strong programming skills in languages such as Python, R, or Java Familiarity with AI libraries, frameworks, and tools such as TensorFlow, PyTorch, or Keras. Proven understanding of cloud computing platforms (e.g., AWS, Azure, Google More ❯
REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven experience in clustering and propensity Strong coding skills in Python, R or MATLAB Excellent communication skills Knowledge of databases and SQL NEXT STEPS: Register your interest by sending your CV to Joseph Gregory via the Apply More ❯
by the role. What you can bring: Experience in working in the insurance industry, particularly in claims Strong SQL skills and knowledge of VBA, R, Python a plus Expert knowledge of Excel, Word, and Access Team Player with good communication and presentation skills Strong planning and organization skills Ability to More ❯
data modelling (dimensional modelling), warehousing, processing (Map Reduce) and transformation techniques Expert in SQL and at least one analytical programming language (Python is preferred, R or Julia) Advocate of IAC principles and best practice coding (GIT, SVN) Ability to optimise workflows and analysis for map reduce processing Experience with BI More ❯
leadership roles. Experience driving enterprise-wide data transformations within global, customer-focused businesses. Strong technical background across analytics tools and languages (e.g., SQL, Python, R, Tableau, Power BI). Proven success in working with cross-functional stakeholders to deliver business outcomes through data. Strategic thinker and ability to shape long More ❯
or equivalent industry experience, preferably in a quantitative field Desirable: Experience with ECB onboarding Exposure to Power BI, Tableau, SharePoint Familiarity with SQL, Python, R , and data engineering workflows Insight into emerging trends in data management and regulatory requirements Previous work within regulated financial frameworks The Challenge Data governance is More ❯
