1 to 25 of 299 Degree Jobs in Berkshire

ability to translate strategic goals into technical execution. Track record of influencing cross-functional teams and executive stakeholders. Passion for building high-performing teams and nurturing talent. Educational Background: Degree in Computer Science, Information Technology, or a related field, or equivalent work experience. Professional Experience: Minimum of 7-15 years of experience in technical programmes/projects and large More ❯

concepts and OLAP reporting services Power BI and Tableau development Microsoft SQL Server & Management Studio Microsoft Excel Power Query and Power Pivot (DAX) Salesforce Tableau Qualifications & Experience: Bachelor’s degree in computer science, Information Technology, or related field 10+ years’ experience in SQL development, dashboards, and reporting tools (Power BI/Tableau) Proven experience as a SQL Developer or More ❯

distributed team of data scientists and engineers, nurturing their professional growth and impact Champion adoption of best practices in ML operations, experimentation frameworks, and data governance Key Skills Advanced degree (MSc/PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field Extensive experience in data science, with proven in leadership roles managing dynamic, multi-disciplinary More ❯

system redundancy Create comprehensive documentation for all system configurations processes and troubleshooting guides Continuously review and refine operational processes to improve efficiency and reliability Qualifications Education Bachelors or Masters degree in Computer Science Information Technology or a related field or equivalent experience Experience 10 years of handson experience with Genesys solutions including Genesys Cloud Genesys Engage and related components More ❯

product capabilities and improve user experience. Data storytelling & reporting: Create dashboards and visualisations that communicate insights clearly to both technical and business stakeholders. 🎓 Requirements: Bachelor’s or Master’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow More ❯

performance of data pipelines and storage solutions. • Stay up to date with emerging technologies and recommend improvements to the data platform. Required Skills & Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM More ❯

Familiarity with various business systems (e.g., AS400, CRM, ticketing systems, Google workspace) is a plus. Ability to work effectively in a dynamic environment and manage multiple priorities. Bachelor’s degree in Business Administration, Management, Information Technology, a related field, or equivalent relevant experience. Minimum of 3 years of experience in business analysis or a related field. Working knowledge of More ❯

Supporting marketing efforts by writing blogs and engaging in social media activities. About you... Educated to master's level with a preference for top-tier universities, ideally with a degree in chemical engineering, mechanical engineering and computer science. Strong analytical mindset with the ability to solve problems and come up with new ideas. Sufficient quantitative skills and knowledge of More ❯

and collaborating with third-party vendors. Soft Skills: Strong leadership, communication, and organizational skills. Ability to work independently as well as in a team environment. Education: A bachelor’s degree in engineering, particularly in Computer Science, Software Engineering, or a related field, is highly desirable. At Kantar we have an integrated way of rewarding our people based around a More ❯

practices in analytics and eCommerce. Work collaboratively with key business stakeholders to develop initiatives that increase zero- and first-party data collection and enrichment. Skills and Experience Essential A degree in a numerate, business or data-focused discipline, or equivalent. Proficient using Excel/Google Sheets with relevant working experience. Comfortable presenting insights and findings to both technical and More ❯

production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship More ❯

things moving. You thrive in fast-paced environments, balance detail with big picture thinking, and take pride in delivering results that make a real impact. What You’ll Bring • Degree in Economics, Mathematics, Statistics, Computer Science, Business, or similar. • 3+ years in analytics, with lending or risk experience, credit card background is a big plus. • Strong SQL skills, plus More ❯

notebooks , and understanding of how machine learning models are developed and deployed Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering More ❯

leading complex data engineering initiatives at scale. Extensive experience in designing, implementing, and optimising data solutions, supported by a history of successfully delivery of data projects. Exceptional coding skills. Degree in Computer Science, Software Engineering Data Engineering or similar (applied to Data and Data Engineering). Extensive experience in Data Engineering and some Data Analytics experience, with expert knowledge More ❯

lead onshore and offshore compliance teams. Client Engagement: Excellent client interaction, problem-solving, and communication skills, with experience working with C-level stakeholders. Educational Background: Data science or STEM degree preferred, with a solid foundation in compliance, AI, ML, and advanced analytics. Innovation and Thought Leadership: Passionate about cutting-edge compliance advancements and delivering innovative business solutions to complex More ❯

business/user goals within a UI to initiate co-creation streams Desirable: Excellent understanding of Data and the challenges a large company faces with data and user experience Degree-qualified or professional knowledge in a relevant area including psychology, cognitive science, computer science. What you must have in your armory! 8+ years of experience in Digital Design Experience More ❯

Qualifications What we are looking for Minimum 5 years of solid working experience in a Data Science capacity, with demonstrated experience in leading projects or initiatives. A Master's degree (or equivalent) in Statistics, Quantitative Sciences, Data Science, Operations Research, or a related quantitative field. Strong ability to manipulate, analyze, and interpret large, complex datasets independently. Deep understanding of More ❯

Displaying a commitment to and promotion of equality, diversity, and inclusion. The Ideal Candidate Skills and Competencies Required EssentialDesirable Education and qualifications Management qualification or equivalent experience Bachelor s degree in information technology, computer science or information systems (or relevant industry experience) Industry certifications (e.g. BCS, MCP, CISSP, PMP, ITIL, CIO-level) Knowledge and Experience Proven experience in IT More ❯

Displaying a commitment to and promotion of equality, diversity, and inclusion. The Ideal Candidate Skills and Competencies Required EssentialDesirable Education and qualifications Management qualification or equivalent experience Bachelor’s degree in information technology, computer science or information systems (or relevant industry experience) Industry certifications (e.g. BCS, MCP, CISSP, PMP, ITIL, CIO-level) Knowledge and Experience Proven experience in IT More ❯

a problem-solving environment Analytical and dynamic thinker and great problem-solving skills Programme & Project management experience – including Prince2, PMP & Agile Delivery methodologies Strong academic background, to Bachelor’s degree level or higher, or equivalent experience What’s in it for you At Accenture in addition to a highly competitive salary, you will also have an extensive benefits package More ❯

in production are monitored. Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven experience in clustering and propensity Strong coding skills in Python, R or MATLAB Excellent communication skills Knowledge of More ❯

or credit models Good understanding of ML algorithms Clear communicator across technical and non-technical teams Knowledge of data drift and model monitoring Excellent data visualisation—ideas that land Degree in Computer Science, Maths, Stats, or similar Bonus Points For Experience in credit cards or consumer lending Deep learning (Keras, TensorFlow) Git, Tableau, Bitbucket Master’s in Data Science More ❯

closely with Data Engineering to deploy models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast More ❯

and relational database knowledge. Solid understanding of GDPR and UK data protection. Preferred Power BI experience. Familiarity with legal industry platforms. Awareness of evolving data tools and technologies. Qualifications Degree in Computer Science, Data Engineering, or related field (desirable). Azure Data Engineer Associate/Azure Solutions Architect certifications (highly desirable). If you’re a technically strong Azure More ❯

distributed systems and incident response. Familiarity with LLM technologies (RAG, prompt engineering, evaluation methods). Knowledge of Azure services and Microsoft's ecosystem. Ability to work independently and collaboratively. Degree in Data Science, Computer Science, or related field (preferred). Whats on Offer Work for a 3* World Class Best Company. Flexible working with our Winning From Anywhere® approach. More ❯