9 Permanent Data Science Jobs in Birmingham

Senior Data Engineer Role purpose: The Senior Data Engineer plays a pivotal role within the Data team of the Digital and Information function, assuming a leadership position in ensuring the availability, integrity, quality, and accuracy of data. With a wealth of experience, the Senior Data Engineer … leads the design, development, and maintenance of data pipelines and workflows, driving the organisation's data processing capabilities and enabling the seamless delivery of BI reporting and analytics. In addition to core responsibilities, the Senior Data Engineer takes a proactive role in advancing our Azure-based data platform, leveraging cutting-edge technologies like Azure Data Factory and Azure Databricks. This role presents exciting opportunities to spearhead digital transformation projects and innovate within the data landscape. Operating within Agile principles and methodologies, the Senior Data Engineer collaborates closely with fellow data engineers and more »

Role purpose: The Senior BI Developer position is an integral part of the Data team within the Digital and Information function. The Senior Microsoft Power BI Developer is responsible for leading the design and implementation of advanced business intelligence solutions using Microsoft Power BI, alongside the on-going support … and iterative development requirements on those solutions. This strategic role involves leveraging Microsoft Azure, using best practice and appropriate build out methodologies, to enhance data-driven decision-making processes and deliver sophisticated analytics that drive business success. The senior developer will serve as a key technical lead, guiding junior … stakeholders to align BI initiatives with organisational goals. Key Responsibilities: Leadership in BI Development: Develop sophisticated dashboards and reports in Power BI, focusing on data visualisations and analytics tailored to meet evolving business needs. Strategic Analytics Implementation: Utilise advanced analytics to extract strategic insights that influence business outcomes. Lead more »

DATA SCIENTIST HYBRID (Midlands) £60,000 - £85,000 COMPANY: Our client is a leading European retail company based in the midlands. They are currently undergoing a large restructure and offer a strong/progressive work environment with significant opportunities for growth. They are looking to make a lot of … progress in the applications around Data Science and Machine Learning within the industry. Immediate work will cover projects Forecasting and Predictive Modelling. ROLE: Lead forecasting projects independently from start to finish Utilize machine learning techniques to anticipate trends and inform strategic decisions Collaborate closely with data engineers more »

check our medium blog which received more than 300 claps here) API's & Gateway - Focuses on how evolve to Microservice architecture using .NET Core Data Engineering - Focuses on how to build the best backend data pipelines to manage/move our data using Python, SQL & our event … driven architecture over RabbitMQ. Data Science - Focuses on how we can improve our AI assistant (Aimie) and maximise the huge amount of data that we sit on SRE - Focuses on how we best deploy/manage all the infrastructure every single day using tools like Ansible & Azure more »

gone through another round of funding and offer a unique autonomous role to help shape the company's growth. This company are specialists within Data Engineering, Data Science and Training Services and have recently secured another $525,000 in funding to accelerate their growth. They have been more »

Xpertise is on the lookout for a Data Scientist who can play a key role in creating real-world value through the use of data. The organisation is offering someone the autonomy to identify new ways of utilising data using all the latest Microsoft tech stack. Key details … Microsoft Azure Azure SQL Microsoft Fabric Delta Lake, Databricks and Spark Statistical Modelling Azure ML Studio Python and familiarity with libraries and frameworks for data analysis and machine learning (e.g., TensorFlow, sci-kit-learn, Pandas). Microsoft Power BI The ability to use analytical and problem-solving skills, with … to work with large, complex datasets and derive actionable insights. Utilise AI tools to assist in the optimisation of algorithms and the analysis of data, enhancing the efficiency and accuracy of management solutions. Value generation and insight extraction Role overview: Do you want free reign to explore new concepts more »

banking and consumer AML compliance. Goldman Sachs Internal Audit comprises individuals from diverse backgrounds including chartered accountants, developers, risk management professionals, cybersecurity professionals, and data scientists. We are organized into global teams comprising business and technology auditors to cover all the firm's businesses and functions, including securities, investment more »

you will love at Sidetrade As a key member of our team, you will join a technical squad composed of QA, Software Engineers, Devops, Data Scientists, and Data Engineers to take up challenges related to new functionalities, scalability, security, ergonomy, etc. You will participate in the quality assurance … databases and SQL language Familiar with the issues involved in web development Understand and challenge a rich technical stack (Micro-services, High-availability, Multitenancy, Data Lake) Knowledge of Gherkin is a plus Your first 90 days... Join our Immersive Bootcamp Collaborate with the team and participate to the roadmap more »

for monitoring and optimization of infrastructure. Performing database administration tasks, including performance monitoring and optimization. Role Requirements: Essential: Bachelor's or MS in computer science, engineering, or related discipline. Experience in full-stack software development, proficient in C# and Python. Proficiency in Git version control (Azure DevOps/GitHub … tools and managing MS Azure Cloud resources. Desirable: Experience in the Energy sector, particularly in Dispatch and Trading domains. Knowledge of algorithmic trading and data science. Experience with Infrastructure-as-Code scripting languages (e.g., Terraform). Web design expertise and familiarity with trending frameworks. Experience with DevOps, Docker/ more »