1 to 25 of 173 Degree Jobs in Tyne and Wear

with a keen eye for spotting data inconsistencies. A genuine interest in understanding and solving business challenges through data. A 2:1 or higher degree in Computer Science or a related field , ideally from a top-tier university . Why Join? This is a great opportunity to work with More ❯

with a keen eye for spotting data inconsistencies. A genuine interest in understanding and solving business challenges through data. A 2:1 or higher degree in Computer Science or a related field , ideally from a top-tier university . Why Join? This is a great opportunity to work with More ❯

The ability to communicate clearly and professionally with clients and team members. Financial Services experience is a bonus, but not essential. A minimum 2.1 degree in Computer Science or a related field, ideally from a Russell Group University. Why Join Them? Impact from Day One : They empower and trust More ❯

professionally with fellow staff, directors, and clients. Maintain strict deadlines and prioritise workflow accordingly. Other related duties as assigned. Qualifications, Skills and Experience: A degree in Software Engineering, Computer Science, Physics or Maths with a grade of at least a 2:1 or an equivalent qualification and experience. Proven More ❯

The ability to communicate clearly and professionally with clients and team members. Financial Services experience is a bonus, but not essential. A minimum 2.1 degree in Computer Science or a related field, ideally from a Russell Group University. Why Join Them? Impact from Day One : They empower and trust More ❯

principles Excellent communication and collaboration skills, with the ability to effectively convey technical concepts to both technical and nontechnical audiences Bonus Points Bachelor's degree in computer science, Engineering, or a related field Understanding of performance marketing concepts and strategies Understand the data flows and dependencies within performance marketing More ❯

operations teams. Experience with D365 Finance & Operations (F&O). Background in an e-commerce or supply chain environment is highly desirable. Bachelor’s degree in Data Science, Business Intelligence, Computer Science, or a related field. What’s on Offer: 30 days holiday (including bank holidays) Birthday day off More ❯

operations teams. Experience with D365 Finance & Operations (F&O). Background in an e-commerce or supply chain environment is highly desirable. Bachelor’s degree in Data Science, Business Intelligence, Computer Science, or a related field. What’s on Offer: 30 days holiday (including bank holidays) Birthday day off More ❯

data concepts clearly to non-technical stakeholders Self-motivated, proactive, and able to manage multiple tasks in a fast-paced setting A 2:1 degree or higher in Computer Science or a related field, preferably from a Russell Group university Benefits Work on challenging and impactful data projects closely More ❯

data concepts clearly to non-technical stakeholders Self-motivated, proactive, and able to manage multiple tasks in a fast-paced setting A 2:1 degree or higher in Computer Science or a related field, preferably from a Russell Group university Benefits Work on challenging and impactful data projects closely More ❯

data concepts clearly to non-technical stakeholders Self-motivated, proactive, and able to manage multiple tasks in a fast-paced setting A 2:1 degree or higher in Computer Science or a related field, preferably from a Russell Group university Benefits Work on challenging and impactful data projects closely More ❯

understand and solve business problems, build domain knowledge, and increase market understanding. Financial Services experience is a bonus, but not essential. A minimum 2.1 degree in Computer Science or a related field, ideally from a Russell Group University. Why Join Them? Impact from Day One : They empower and trust More ❯

understand and solve business problems, build domain knowledge, and increase market understanding. Financial Services experience is a bonus, but not essential. A minimum 2.1 degree in Computer Science or a related field, ideally from a Russell Group University. Why Join Them? Impact from Day One : They empower and trust More ❯

Implement data quality checks and validation processes. Collaborate with data analysts to support their data needs. Maintain and optimise database systems. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience as a Data Engineer or in a similar role. Proficiency in SQL, Python, and More ❯

Implement data quality checks and validation processes. Collaborate with data analysts to support their data needs. Maintain and optimise database systems. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience as a Data Engineer or in a similar role. Proficiency in SQL, Python, and More ❯

disciplinary teams to shape the full engineering lifecycle. Stay ahead of the curve with emerging technologies in robotics and AI. What You’ll Bring: Degree in Software Engineering, Computer Science, Physics, Maths, or related. Strong coding skills in C/C++ or Python and experience with Linux systems. Background More ❯

multi-disciplinary teams to shape the full engineering lifecycle. Stay ahead of the curve with emerging technologies in robotics and AI. What Youll Bring: Degree in Software Engineering, Computer Science, Physics, Maths, or related. Strong coding skills in C/C++ or Python and experience with Linux systems. Background More ❯

and C++. Evaluate and integrate state-of-the-art AI techniques to address complex computer vision challenges. Essential Requirements: Bachelor's or Master's degree in Computer Science, Data Science, or a related technical discipline. 5+ years of hands-on experience working on computer vision problems and AI system More ❯

and C++. Evaluate and integrate state-of-the-art AI techniques to address complex computer vision challenges. Essential Requirements: Bachelor's or Master's degree in Computer Science, Data Science, or a related technical discipline. 5+ years of hands-on experience working on computer vision problems and AI system More ❯

within the power systems team. Contribute to expanding the simulation capabilities of the team to meet demand. Role Requirements Bachelor's or Master's degree in Power Engineering. Proven experience in power systems engineering, preferably within the data centre industry. Proficiency in simulation software, particularly ETAP (preferred), DigSilent, or More ❯

selecting and specifying the electronic hardware onto which the software will be installed. Manage workloads effectively to meet strict deadlines. Required Qualifications & Experience: A degree in Software Engineering, Computer Science, Physics, or Mathematics (2:1 or above) or an equivalent qualification and experience. Industry experience ideally in Defence, Aerospace More ❯

concepts. Previous experience in regulated industries (e.g., Finance, Healthcare, Public Sector). Understanding of data governance and security within AWS environments. Education: Bachelor’s degree in Computer Science, Business, Information Systems, or a related field (or equivalent experience). Benefits: Competitive salary and performance-based bonus structure. Join a More ❯

concepts. Previous experience in regulated industries (e.g., Finance, Healthcare, Public Sector). Understanding of data governance and security within AWS environments. Education: Bachelor’s degree in Computer Science, Business, Information Systems, or a related field (or equivalent experience). Benefits: Competitive salary and performance-based bonus structure. Join a More ❯

mining methodologies. Superb data presentation and report writing skills, ideally for a Model Risk Committee or equivalent The ability to work to a high degree of accuracy, ensuring you always get the basics right Sound decision making and critical thinking. It s a bonus if you have but not More ❯

stakeholders Significant knowledge of a range of Credit Risk Modelling techniques for PD/LGD/EAD (IFRS9/Stress Testing/IRB) A degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) A solid foundation in statistical programming languages and data querying (SAS/SQL/ More ❯