Top Data Science Jobs in London
Join Zopa as an Analytics Engineer to turn data into valuable insights for analytic, product, finance, and risk teams. Responsibilities include building quality data products, resolving daily operation issues, supporting stakeholders, and upholding data standards. Must have experience in DBT, SQL, data modeling, and be detail-oriented in documentation and governance. Knowledge of Python and Airflow is a plus.
Join Remote as a Senior Analytics Engineer to support decision making and reporting needs by translating data into actionable insights for non-data professionals. Work with a remote team using SQL, dbt, Python, and other tools to provide clean and reliable data.
Join as a Data Scientist to contribute to the development of algorithmic core for new projects, analyse and interpret complex data, implement ML algorithms, provide data-driven insights, and communicate findings with stakeholders.
Seeking a Senior Data Scientist (Pricing) at Zego to build risk and market models, analyze insurance data, collaborate on pricing changes, and communicate model outcomes. Requires a Bachelor’s or Master’s degree in relevant field, experience in non-life insurance pricing, strong Python and SQL skills, familiarity with cloud data platforms and visualization tools, and excellent communication skills.
Lead and mentor junior data engineers, architect and build data pipelines, collaborate with cross-functional teams, identify performance bottlenecks, maintain documentation, champion data engineering best practices
Design and implement data pipelines, develop data models, write ETL jobs, collaborate with stakeholders, and monitor data pipelines for a B2B sales platform.
Seeking an enthusiastic Entry-Level Data Engineer with a focus on AI to assist in designing, building, and maintaining data infrastructure that supports artificial intelligence and machine learning initiatives. Responsibilities include data pipeline development, data integration, AI & ML support, data monitoring, and troubleshooting. Preferred skills include practical knowledge of programming languages, SQL, AI frameworks, big data technologies, cloud platforms, data modeling, and strong analytical skills.
The Data Scientist will work on prediction models, anomaly detection, user segmentation, A/B experiments, reporting automation, and collaboration with various teams. Requires 3+ years of experience, strong statistical and machine learning knowledge, fluency in SQL and Python, and a degree in a quantitative field.
Data Engineer role in bioinformatics with a focus on building data pipelines, transforming data, working with genomic data, and collaborating with multidisciplinary teams. Responsible for creating reusable products and ensuring data quality for analysis.
The Senior Data Engineer at LiveScore Group will be responsible for querying data sets, building data pipelines, analyzing customer data, generating insights, creating KPI dashboards, providing actionable insights to marketing teams, and developing data architecture solutions. This role requires expertise in SQL, Python, and Google Cloud Platform.
Senior Data Scientist responsible for processing structured and unstructured data, developing innovative data products, performing data analysis, and providing data insights for ComplyAdvantage's Financial Crime solutions. Required: MSc or PhD, 5+ years experience in data science, proficiency in Python, experience with machine learning frameworks like Scikit-Learn and TensorFlow. Nice to have: experience with Big Data platforms like Spark.
Seeking a Senior Analytics Engineer to optimize data models, improve usability of data, and increase impact for the Experimentation Team at Viator. Responsibilities include executing strategic projects, making tactical improvements to data infrastructure, and communicating with stakeholders. Key requirements include Bachelor's Degree, 5+ years in analytical roles, advanced SQL skills, and ability to communicate effectively across functions.
Data Scientist responsible for developing features for a claims automation platform, building and deploying machine learning algorithms, providing technical guidance, and collaborating with cross-functional teams. Must have expertise in Python, PyTorch, Computer Vision, and NLP projects.
Seeking a Senior Applied Data Scientist to distil complex problems into compelling insights using machine learning and human creativity. Responsibilities include investigating, developing, implementing, and deploying complex applications for clients.
TrueLayer is seeking a Data Scientist to work cross-functionally with stakeholders, build datasets, solve complex business questions, and drive strategic decision making using data. The ideal candidate will have 3+ years of experience, proficiency in SQL, DBT, Git, Python, and R, as well as experience with cloud platforms like AWS or GCP.
As a Data Engineer at Walmart, you will be responsible for developing and maintaining data pipelines to support data science initiatives. You will work with a mammoth scale of data to create valuable data assets for retail analytics. Collaboration with Data Scientists, Analysts, and business stakeholders to solve complex challenges is crucial for evolving the retail business model.
Seeking a Senior Analytics Engineer to lead the transformation layer of a data platform at a fast-growing fintech company. Responsibilities include developing scalable patterns, ensuring data discoverability, and collaborating with various teams. Must have 3+ years of experience in data engineering or analytics, expertise in SQL and Python, and strong relational database skills.
As an Analytics Engineer at Epsilon, you will spearhead reporting practices, develop attribution models, apply statistical interpretation methods, and identify key drivers of technology success in a global role including customer-facing aspects.
As a Data Scientist at C3 AI, you will work on developing AI-powered enterprise applications on the C3 AI Suite. Responsibilities include driving adoption of Deep Learning systems, designing Machine Learning algorithms for industrial applications, and collaborating with data experts. Qualifications include a MS or PhD in Computer Science or related fields, experience in applied Machine Learning, proficiency in programming languages, and strong mathematical background.
Seeking a Senior Data Engineer to join the Knowledge Representation Team, evolve the Knowledge Graph, integrate public life science data, iterate on data models, and operationalize data pipelines. Collaborate with a world-class team to shape the future of scientific discovery.
Exciting opportunity for a Data Scientist III in Product Analytics at Expedia Group. Responsibilities include analyzing metrics, managing reporting, and collaborating with product analytics team. Requires Bachelor's/Master's degree in a quantitative field and 4 years of industry experience. Must have experience in web analytics, machine learning models, and working with large datasets. Strong analytical and communication skills are essential.
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Recruiting for a Data Scientist to enhance the use of advanced performance data in professional football. Responsibilities include deriving insights on players and managers, automating client identification, and collaborating with internal teams and external data scientists.
SoundCloud is looking for an experienced Senior Data Engineer to join the Data Corpus team. The role involves building and maintaining a petabyte-scale GCP data warehouse, designing data solutions, and working with various data technologies to provide valuable insights for the business.
Design, develop, and maintain scalable data pipelines using Scala, DBT, and SQL. Implement and optimize distributed data processing solutions using MPP databases and technologies. Build and deploy machine learning models using distributed processing frameworks such as Spark, Glue, and Iceberg. Collaborate with data scientists and analysts to operationalize ML models and integrate them into production systems. Ensure data quality, reliability, and integrity throughout the data lifecycle. Continuously optimize and improve data processing and ML workflows for performance and scalability.
Seeking a Data Engineer to work on data architecture projects, transition data sets to new technology stack, analyze data using machine learning, manage data ingestion process, and collaborate with investing teams globally. Must have 5+ years of experience in SQL programming, data architecture, and dimension modeling.
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