proficient in SQL and experienced in using Python (pandas, numpy, matplotlib, seaborn) for exploratory data analysis and data visualization. Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive). You have experience with BI tools (e.g., Looker, Tableau, Google Data Studio) to create compelling visual representations of data. You have excellent communication skills More ❯
written and verbal Excellent language skills in Hebrew and English Preferred (but not required) to have: Hands on experience with Python Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.) Experience with data science and machine learning technology People want to buy from people who understand them. Our Solution Engineers build connections More ❯
under pressure Nice to Have (But Not Dealbreakers) If you’ve worked with any of the following, that’s a bonus—but not a requirement: Big data tools (e.g., Spark, Databricks, Elasticsearch) Salesforce Marketing Cloud or campaign analytics Google Analytics (and ideally BigQuery) Alteryx or similar BI/automation tools A previous role in digital entertainment, sports, or consumer More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Humand Talent
under pressure Nice to Have (But Not Dealbreakers) If you’ve worked with any of the following, that’s a bonus—but not a requirement: Big data tools (e.g., Spark, Databricks, Elasticsearch) Salesforce Marketing Cloud or campaign analytics Google Analytics (and ideally BigQuery) Alteryx or similar BI/automation tools A previous role in digital entertainment, sports, or consumer More ❯
South East London, England, United Kingdom Hybrid / WFH Options
Humand Talent
under pressure Nice to Have (But Not Dealbreakers) If you’ve worked with any of the following, that’s a bonus—but not a requirement: Big data tools (e.g., Spark, Databricks, Elasticsearch) Salesforce Marketing Cloud or campaign analytics Google Analytics (and ideally BigQuery) Alteryx or similar BI/automation tools A previous role in digital entertainment, sports, or consumer More ❯
will be able to demonstrate how you have: Worked hands-on with data engineering tools and technologies (databases, data warehouses and/or data integration solutions, eg, SQL, Python, Spark, Hadoop etc) Knowledge of data architecture and best practice data integration approaches Experience working with Microsoft Data solutions, such as Fabric and/or solutions such as Snowflake, Redshift More ❯
construction, validation, and calibration. Experience with uncertainty quantification and performance estimation (e.g., cross-validation, bootstrapping, Bayesian credible intervals). Familiarity with database and data processing tools (e.g., SQL, MongoDB, Spark, Pandas). Ability to translate ambiguous business problems into structured, measurable, and data-driven approaches. Preferred Qualifications: M.Sc or PhD in Statistics, Electrical Engineering, Computer Science, Physics, or a More ❯
them through libraries. Experience with programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop/Spark/SQL. Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, scikit-learn, along with data visualization technologies. Experience in the More ❯
you if: Proficiency in Python for API and model development, including frameworks like Sklearn, Pytorch, and TensorFlow. Understanding of machine learning techniques. Experience with data manipulation libraries (e.g., Pandas, Spark, SQL). Experience with version control (Git). Cloud experience (Azure, GCP, AWS). Additional desirable skills include: Modeling experience in industry-relevant use cases. Familiarity with MLOps environments. More ❯
Bromsgrove, Worcestershire, United Kingdom Hybrid / WFH Options
Talk Recruitment
Stress-testing, performance-tuning, and optimization skills. Debugging in multi-threaded environments. Eligible to work in the UK. Desirable Skills: Technologies such as Zookeeper, Terraform, Ansible, Cassandra, RabbitMQ, Kafka, Spark, Redis, MongoDB, CosmoDB, Xsolla Backend(AcceleratXR), Pragma, Playfab, Epic Online Services, Unity Game Services, Firebase, Edgegap, Photon Game engine experience with Unreal or Unity Web application development experience (NodeJS More ❯
Bromsgrove, Worcestershire, United Kingdom Hybrid / WFH Options
Talk Recruitment
Stress-testing, performance-tuning, and optimization skills. Debugging in multi-threaded environments. Eligible to work in the UK. Desirable Skills: Technologies such as Zookeeper, Terraform, Ansible, Cassandra, RabbitMQ, Kafka, Spark, Redis, MongoDB, CosmoDB, Xsolla Backend(AcceleratXR), Pragma, Playfab, Epic Online Services, Unity Game Services, Firebase, Edgegap, Photon Game engine experience with Unreal or Unity Web application development experience (NodeJS More ❯
them through libraries. Experience with programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop/Spark/SQL Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, scikit-learn, along with data visualisation technologies. Experience in retail More ❯
South East London, England, United Kingdom Hybrid / WFH Options
ECM Talent
Bayesian Data Scientist Location: London (Hybrid Working) Contract Type: Initial 12 month contract + potential to extend long-term due to 3/4 year project scope. Start Date: ASAP We have an excellent opportunity for a Bayesian Data Scientist More ❯
Bayesian Data Scientist Location: London (Hybrid Working) Contract Type: Initial 12 month contract + potential to extend long-term due to 3/4 year project scope. Start Date: ASAP We have an excellent opportunity for a Bayesian Data Scientist More ❯
City of London, London, United Kingdom Hybrid / WFH Options
ECM Talent
Bayesian Data Scientist Location: London (Hybrid Working) Contract Type: Initial 12 month contract + potential to extend long-term due to 3/4 year project scope. Start Date: ASAP We have an excellent opportunity for a Bayesian Data Scientist More ❯
About us At Urban Jungle, we're making insurance fair - to people, planet and wallets. We're one of the fastest-growing businesses in the UK, working to fix one of the biggest industries in the world. We put customers More ❯
Engineer £85,000 Remote (travel into London a few times a year) My client are looking for an individual that has the following (practical working experience needed): Python (PySpark) ApacheSpark Kafka (Event Driven Architecture) **Please note, my client are only looking for candidates based within the UK** Get in touch now More ❯
Engineer £85,000 Remote (travel into London a few times a year) My client are looking for an individual that has the following (practical working experience needed): Python (PySpark) ApacheSpark Kafka (Event Driven Architecture) **Please note, my client are only looking for candidates based within the UK** Get in touch now More ❯
end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams Experience with large scale, distributed data processing frameworks/tools like Apache Beam, ApacheSpark, and cloud platforms like GCP or AWS Where You'll Be We offer you the flexibility to work where you work best! For this More ❯
a developer background is a plus. Knowledge in big data technologies. Working with SQL-like query languages, Python, and/or R with large datasets. Experience with Zeppelin and ApacheSpark is an advantage. A focus on details and a willingness to learn. What We Offer Awesome team events throughout the year. It represents a strategic role where More ❯
Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, ApacheSpark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet More ❯
Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, ApacheSpark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that More ❯
Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, ApacheSpark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that More ❯
Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, ApacheSpark, Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details More ❯
Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, ApacheSpark, Delta Lake, and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details More ❯