Top Data Jobs in Edinburgh
Lead Data Engineer role at Superside, responsible for maintaining data pipelines, enhancing data operations, providing technical guidance, and staying up-to-date with data technology trends.
Seeking a Senior Data Analytics Engineer contractor to shape the future of data models and analytical capabilities, collaborate with teams, and deliver actionable insights. Responsible for data modeling, integration, automation, and fostering a data-driven culture. Must have expertise in SQL and experience with various tech tools and platforms.
Join a dynamic team at Ascent specializing in data science and digital transformation. Responsibilities include applying best practices in data communication and user experience. Required skills include Python, Azure, NLP, and version control (git).
The Sr. Data Engineer at Pismo will be responsible for operating and monitoring file and event systems, ensuring SLAs are met, designing high complexity features, reducing technical debts, and evolving data platform architecture. They will collaborate with internal and external teams to optimize the data platform's efficiency and performance. Minimum qualifications include solid experience with Big Data, AWS, Python, Airflow, CDC, and at least 4 years as a Data Engineer. Pismo offers competitive benefits including annual incentive bonus, core benefits, smart benefits, and 28 days of annual leave.
As a Marketing Data Analyst, you will analyze data to enhance marketing strategies and initiatives, develop reports, and provide insights to optimize marketing efforts. Responsibilities include data collection, reporting, campaign analysis, market research, customer segmentation, data quality management, and performance optimization.
Senior Data Engineer role at N-iX, a software development service company specializing in developing successful software products. Responsibilities include creating production quality models, writing production level microservices, data wrangling, and implementing various technologies such as Python, AWS, and more. Strong communication, organizational skills, and mentoring experience are required. Offers competitive salary, personalized career growth, flexible working format, and professional development opportunities.
Define and drive the data and analytics strategy for the organization, oversee data initiatives and transition to Snowflake, manage data reporting infrastructure and collaborate with engineering teams, develop dashboards and reports using BI tools, lead data analysis and insights generation, optimize data warehousing capabilities, and communicate data strategy to stakeholders.
The Manager (Data Operations) at Initiative is responsible for ensuring accurate and organized media data for stakeholders on the NatWest account to support decision-making and advanced analytics. They collaborate with Data Director and BI and engineering teams to maintain data quality and accuracy.
Lead and mentor teams on data projects, work with clients on data value extraction, advocate for Agile methodologies and constant delivery of business value, work on cloud and on-premise projects, champion deep technical expertise, balance innovation and pragmatism, drive to learn and understand customer challenges
Seeking a skilled Data Architect to build and own the Data acquisition strategy and delivery in a global organization. Responsibilities include designing and optimizing data pipelines, technologies, and patterns to feed data models for analytics solutions. Must have extensive experience in data architecture and cloud technologies such as Azure and GCP.
The VP of Real World Data (RWD) at Clinigen will be responsible for designing and building the capability for Real World Data for Managed Access programs. This role involves strategic planning, business development, operational delivery, and leadership within the Managed Access team.
Seeking a motivated Data Scientist with 2+ years of experience in data science and machine learning. Must have strong Python skills and experience with end-to-end solutions using diverse technologies. Collaborative mindset and problem-solving skills are essential.
Design, build, test, and deploy cutting-edge solutions at scale impacting millions of customers worldwide. Develop high-performance and scalable solutions/APIs in Storm, Spark, and big data. Work on optimizing data pipelines and architectures involving petabyte and terabyte of data. Collaborate with engineering teams and engage with product management to drive the agenda and deliver product features. Analyze and test programs before launch, ensure software security, and seek ways to improve software effectiveness.
The Middle Data Scientist at Social Discovery Group will analyze chatbot behavior, process text datasets, and analyze ML solutions from a business metrics perspective. Experience with Python, NLP, Numpy, Sklearn, SQL, Statistics, and Data visualization is required.
Design and implement data pipelines, develop data models, write ETL jobs, collaborate with stakeholders, and monitor data pipelines for a B2B sales platform.
As an Azure Data Architect, you will define the vision and data strategy for customers, lead the design of data platforms, develop architecture artefacts, adhere to best practices, and provide technical leadership.
As a Senior Data Engineer at Kainos, you will design and develop data processing and data persistence software components for solutions handling data at scale. You will provide strong development leadership, work in agile teams, and collaborate with colleagues to ensure code quality and maintainability. Responsibilities also include advising customers, coaching team members, and contributing to continuous improvement.
As a Lead Data Engineer (Consultant) at Kainos, you will be responsible for designing and developing data processing and data persistence software components for solutions that handle data at scale. You will provide strong development leadership for team members, ensure code quality, and meet user needs. Responsibilities include development, design, testing, coaching, and technical advisement.
Senior Data Scientist responsible for driving Modular Intelligence for Walmart through application of CV/AI capabilities, developing statistical and machine learning models, building ML pipelines, and communicating insights to business partners.
The Technical Data Analyst is responsible for maintaining investment data for clients, analyzing raw data, building data systems, conducting complex data analysis, and presenting information through data visualization techniques. Collaborates with clients and project management teams to meet customer and company needs, while striving to improve data quality and reliability.
Lead and oversee Atlas' privacy program, ensure compliance with global data protection regulations, and protect privacy rights of customers, employees, and stakeholders. Develop and implement privacy policies, manage data privacy risks, and provide strategic advice on privacy-related matters. Collaborate with various departments to align business practices with high standards of privacy and data protection.
As a Data Engineer at a tech consultancy, you will be responsible for building, optimizing, and maintaining data applications, systems, and services. You will work in a fast-moving, agile environment with multi-disciplinary teams, deploying data pipelines and processes using the latest technologies like AWS, Azure, GCP, Databricks, and more. The role requires a good understanding of coding best practices, design patterns, and experience in Python programming.
Join a dynamic team at Ascent as a Senior Data Scientist, working on complex Shiny solutions and supporting end-to-end pipelines. Become a trusted consultant for customers, advise on technical solutions, and drive innovation in solution design. Utilize R programming skills and advanced Shiny development knowledge to deliver successful projects.
Seeking a Senior Data Scientist to join the data science team, responsible for advanced data modeling, innovative solution development, project leadership, cross-functional collaboration, and mentorship. Requires a Master's degree in a related field, expert proficiency in SQL, Python, and Spark, and a minimum of 5 years of experience in data science roles.
Join our innovative team as a Sr. Data Scientist and work on cutting-edge AI/ML applications in industries like fleet & EV, Health Benefits, and Corporate Payments. Lead AI/ML model development, collaborate with cross-functional teams, drive rapid prototyping, and mentor junior data scientists. PhD or Master's in computer science or related field with 5+ years of experience required.
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