Top Data Jobs in Edinburgh

Senior Associate in the Operational Risk Framework team responsible for data analysis using tools like Alteryx, Tableau, and SQL. Responsibilities include data modeling, analysis, visualization, and presenting insights to stakeholders. Requires attention to detail, Bachelor's degree in relevant field, and proven experience in data analysis and visualization tools.

Perform analyses on products, design experiments, develop key metrics and reports, and enhance data infrastructure for better analysis in a data-driven role at Coinbase. Requires at least a BA/BS in a quantitative field and 2+ years of relevant experience.

Lead on the creation and implementation of a public sector client's data management plan, recommend data solutions products and services, and advocate for data quality improvements to meet strategic objectives and regulatory requirements.

Senior Data Science Consultant role at Blend, a data consultancy company. Responsible for driving high delivery standards and innovation using data analytics and machine learning. Must have experience in data cleaning, exploratory analysis, predictive modeling, and proficiency in Python, R, and SQL. Will be involved in presenting analysis findings, project management, mentoring, and supporting business development initiatives.

Looking for a Junior Data Analyst to manage, analyze, and clean data on a real-time basis, collaborate with team members, and perform ad-hoc data analysis primarily in Papua New Guinea for Enveritas. Responsibilities include leading data quality processes, coordinating field teams, conducting research, and supporting special projects.

Seeking a highly skilled Pension Data Scientist to develop and implement a digital analytical strategy for pension products, utilize data science, AI, Generative AI, machine learning, and big data techniques, lead a Data Science team, analyze user data, build predictive models, leverage big data technologies, and drive innovation in digital pension products.

Join a team of inquisitive minds and supportive peers at Ascent, a digital transformation business specializing in data science, software development, and more. As a Senior Data Scientist, you'll work on data science practices, apply enterprise-grade standards, and focus on user experience and best data communication practices.

Data Engineer role at Octaive involving designing, architecting, implementing, and supporting data systems, analytics dashboards, and data retrieval tools. Analyzing and enhancing data quality, working with stakeholders to develop insights, and devising data governance strategies.

Play a key role in enhancing and refining CRM activities focusing on financial aspects. Use data insights to enrich customer interactions, craft targeted email marketing strategies, and ensure effective use of CRM tools. Collaborate with cross-functional teams to drive business goals and OKRs.

As a Data Analyst for the DAZN Women's Sport team, responsibilities include collecting and analyzing social media data, preparing reports, maintaining databases, and providing data insights for women's football growth and partnerships.

Design, develop, and maintain big data platform using Scala, Spark, and other technologies within the Hadoop ecosystem. Strong foundation in data engineering and streaming data architectures required.

Join Remote as a Payroll Automation & Data Specialist to work collaboratively with cross-functional teams in delivering outstanding payroll services globally. Responsibilities include analyzing business processes, developing automation solutions, creating BRDs, and collaborating with various teams to solve complex problems.

Responsible for developing algorithms, data modeling, and creating new data processing techniques. Apply data mining techniques, do statistical analysis, and build high-quality prediction systems.

As a Data Scientist with Compliance expertise, you will analyze unstructured communications data for regulatory compliance and risk mitigation. This role involves generating insights, performing data analysis, assisting in data annotation, and collaborating with stakeholders. Required qualifications include a Bachelor's degree in a relevant field, 2+ years of data analytics experience, knowledge of financial regulations, and proficiency in Git, Linux/Unix, and IDEs. Preferred qualifications include a Master's degree and familiarity with cloud computing platforms. The company, Smarsh, values collaboration, innovation, and diversity in its culture.

Seeking a skilled Data Analytics Engineer to integrate data analysis with engineering while navigating complex analytical challenges. Responsibilities include collaborating with teams, maintaining data models, ensuring data quality, and providing technical support to stakeholders.

Senior Data Scientist role at Sentium Consulting focusing on building machine learning models, translating business needs into requirements, implementing data analytics solutions, and staying updated on data science technologies.

The Senior Data Engineer I at Pax8 designs, develops, tests, deploys, and maintains systems for data collection, transformation, storage, and management. They work on individual projects based on deadlines, collaborate with teams, and provide technical leadership in data system development. Responsibilities include building scalable data pipelines, mentoring junior engineers, and optimizing code quality. Ideal candidates have 4+ years of data engineering experience with expertise in Python, SQL, Apache Spark, Apache Kafka, and job orchestration tools.