management processes in insurance Advanced SQL skills for querying complex databases and joining disparate data sources Expertise in data manipulation and analysis using Python, R, or similar analytical tools Experience with data visualization tools (e.g., Tableau, Power BI, Looker) Experience with dashboard creation for operational metrics tracking Strong communication and More ❯
advertising ecosystem. Expertise in data modeling, ETL pipelines, statistical analysis, and visualization tools (e.g., Tableau, Power BI). Hands-on experience with SQL, Python, R, or similar languages for data analysis. Familiarity with cloud platforms (e.g., AWS, Google Cloud) and big data tools (e.g., Spark, Snowflake). Exceptional leadership, project More ❯
parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering/random forest (desirable). Tech Stack: SQL, Python, R, Tableau, AWS Athena + More! More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share More ❯
like S3, Lambda, and MSK. AI Tools: Familiarity with AI-driven tools such as ThoughtSpot or Amazon QuickSight. Programming Languages: Familiarity with Python or R for data manipulation and analysis. Big Data Technologies: Experience with big data technologies like Hadoop or Spark. Data Governance: Understanding of data governance and data More ❯
in statistical modelling and machine learning techniques. This includes skills in regression analysis, classification, clustering, and other relevant techniques. Programming skills in Python and R, with experience in data science libraries (eg, scikit-learn, pandas, TensorFlow) for data manipulation, analysis, and model development. Experience with data visualisation tools (eg, Tableau 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 ❯
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 ❯
especially within the financial services sector. Skills Strong SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar More ❯
especially within the financial services sector. Skills Strong SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar More ❯
opportunities Career progression in a supportive environment Skills and Experience Proven experience in data science, including machine learning and statistical analysis. Proficiency in Python, R, or similar programming languages. Strong SQL skills for data manipulation and querying. Experience with data visualisation tools such as Tableau or Power BI. Experience with 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 ❯
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 ❯
problem-solving skills and attention to detail. Excellent communication skills, both written and verbal. Preferred Qualifications: Experience with programming languages such as Python or R for data analysis. Familiarity with cloud platforms (e.g., AWS, Azure, GCP). Knowledge of business intelligence (BI) tools and techniques. Understanding of machine learning concepts More ❯
engineering, and ML ops. Experience with CPG/Pet Health/Professional Indirect Industries preferred. Proficiency with SQL, dbt beneficial. Proficiency with Python or R beneficial. Able to manage multiple concurrent projects independently, meet deadlines in a fast-paced environment and with a high standard of quality. Exceptional attention to More ❯
focus on Power Apps (Canvas and Model-Driven, use of Dataverse) and/or Power Automate. Copilot Studio experience also desirable. Programming language (Python, R or SQL) Hands-on experience with tools such as Microsoft Fabric, Databricks, or Snowflake Consulting Experience: Current experience in a major consulting firm and/ More ❯
expertise in machine learning, statistical analysis, and predictive modeling. Experience designing experiments and modeling solutions for business problems. Preferred Qualifications Proficiency in Python or R (R knowledge is a plus). Strong SQL skills and experience with relational databases. Familiarity with data visualization tools. Experience with AWS or cloud platforms More ❯
dashboards and other ad-hoc requests requiring data analysis and visual support. Skills: • Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau. • The ability to communicate effectively in writing, including conveying complex information and More ❯
a Master's degree is preferred. Proven experience as a Data Scientist or in a similar analytical role. Strong programming skills in Python or R, with proficiency in data manipulation libraries (e.g., Pandas, NumPy). Experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow) and data visualization tools (e.g., Tableau More ❯
Background: Experience in data-driven industries . Previous roles in business intelligence, data analytics, or strategy consulting . Strong technical background in SQL, Python, R, or other data analysis tools . Familiarity with pricing models, market intelligence, and operational analytics . Experience in a fast-paced startup or high-growth More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Dwelly
Background: Experience in data-driven industries . Previous roles in business intelligence, data analytics, or strategy consulting . Strong technical background in SQL, Python, R, or other data analysis tools . Familiarity with pricing models, market intelligence, and operational analytics . Experience in a fast-paced startup or high-growth 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 ❯
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 ❯
DW concepts - Experience in Excel (macros, index, conditional list, arrays, pivots, lookups) - Experience scripting for automation (e.g., Python, Perl, Ruby) - Experience using Python or R for data analysis or statistical tools such as SAS - Experience using statistical tools such as Minitab - Experience with reporting and Data Visualization tools such as More ❯
A/B testing and experimentation. Experience working with data warehouses and ETL pipelines. Experience with Power BI and DAX. Exposure to Python or R for data analysis. Experience in a product-driven or SaaS company. What we offer you Remote & flexible working - Work from wherever (and whenever) you are More ❯
