1 to 25 of 7,977 Degree Jobs

concepts clearly to non-technical stakeholders. Ability to mentor and lead a team of data scientists, machine learning engineers, and data engineers, with strategic decision-making capability. Essential Qualifications Degree in Data Science, Computer Science, Engineering, Science, Information Systems and/or equivalent formal training plus work experience BS & 5+ years of work experience MS & 4+ years of work … learning frameworks, Computer Vision, Spark Have produced production level algorithms Proficient in researching, developing, synthesizing new algorithms and techniques Excellent communication skills Desirable Qualifications Master's or PhD level degree 5+ years of work experience in a data science role Proficient with cloud computing environments, Kubernetes, etc. Familiarity with Data Science software & platforms (e.g. Databricks) Software development experience Research More ❯

with Microsoft 365, Azure AD, and Fabric administration. Excellent problem-solving, communication, and organisational skills. Ability to work independently and collaboratively across Agile, BAU, and project environments. Bachelor's degree in Computer Science, Information Technology, or related field. Experience with the following: PowerBI Governance Framework PowerBI vendor and stakeholder management Ideally, you will also have: Experience with Snowflake, Tableau More ❯

expertise. Proactively developing new skills and staying abreast of cutting-edge methodologies in data science and analytics, sharing knowledge with the team. Required Experience Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred). Deep understanding of probability, statistics, and linear algebra, with the ability to apply these concepts to real More ❯

fraud practices. Excellent analytical and problem-solving skills, with high accuracy in data investigation and interpretation. Strong communication skills, capable of translating technical findings into actionable business insights. Qualifications Degree in Computer Science, Data Analytics, Mathematics MIS/CIS, AI, or Machine Learning, or equivalent experience. Recognised SQL/Database qualification (Microsoft, Oracle, or equivalent). Relevant certification in More ❯

and Auto Loader. Familiarity with MLflow, Feature Store, and Model Registry. Use of Databricks notebooks for collaborative development in Python, SQL, or Scala. Successful applicants should also possess: Bachelors' degree in Data Science, Analytics, Information Technology, Computer Science, Statistics, Mathematics, Quantitative Economics, Engineering, or equivalent professional education. Minimum of 3 years' experience in a Data Engineering role with a More ❯

cloud services, such as AWS, or Google Cloud for scalable AI/ML development and deployment and knowledge of data pipelining (e.g. via Airflow) A minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or related quantitative degree. Masters/PhD What's in it for you? A range of flexible working options to dedicate time to More ❯

and may be supplemented as necessary. Reed Smith reserves the right to revise or modify job duties and responsibilities at any time. Requirements Education:Bachelor's or Master's degree in a relevant field (e.g. data science, statistics, communication, marketing) or equivalent experience. Experience: Required: Minimum of 7 years of experience in data analysis, visualization, and storytelling. Proven ability More ❯

Overview Location: Dublin 2 Other locations: Primary Location Only Date: Oct 25, 2025 Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams More ❯

in client meetings Strong business acumen; can frame complex problems in appropriate business contexts Ability to work under pressure and willingness to travel to clients world-wide A University degree with above average academic performance in a STEM related field or business management Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment More ❯

and Data Management: Ensure seamless integration between various healthcare applications. Manage data integrity and security across systems. Perform data analysis and generate reports as needed. Minimum Qualifications: Bachelor's Degree (Required) Additional Job Description: degree in computer science, Information Technology, Healthcare Administration, or a related field. Minimum of 5-7 years of experience in system analysis and support … within a healthcare environment. In lieu of degree, 10+ years of experience in system analysis and support within a healthcare environment. SPECIALIZED KNOWLEDGE Extensive experience with Epic, Workday, and Kronos applications. Proven track record of managing complex projects and leading cross-functional teams. Experience with system integration and data migration projects. Previous experience in a leadership or supervisory role. … as the primary point of contact for customers, addressing inquiries and resolving issues promptly. DESIRED ATTRIBUTES ITIL Foundation certification desired not required. Certifications in relevant technologies (e.g., Epic) Advanced degree (Master's or higher) in a related field is a plus. Experience in a large healthcare system or hospital setting. Experience with other healthcare applications and systems. Knowledge of More ❯

and compliance policies and procedures. Evaluate model risk control strengths around model development, implementation, and use. Professionally develop on emerging modeling techniques and approaches. What you have: Bachelor's degree in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or a Related Field with Core Quantitative Curriculum. Four additional years of related … may be substituted in lieu of a degree. Minimum 6 years' related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research OR Advanced degree (e.g., Master's, PhD) in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or Related Field with Core Quantitative Curriculum and More ❯

and compliance policies and procedures. Evaluate model risk control strengths around model development, implementation, and use. Professionally develop on emerging modeling techniques and approaches. What you have: Bachelor's degree in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or a Related Field with Core Quantitative Curriculum. Four additional years of related … may be substituted in lieu of a degree. Minimum 6 years' related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research OR Advanced degree (e.g., Master's, PhD) in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or Related Field with Core Quantitative Curriculum and More ❯

and compliance policies and procedures. Evaluate model risk control strengths around model development, implementation, and use. Professionally develop on emerging modeling techniques and approaches. What you have: Bachelor's degree in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or a Related Field with Core Quantitative Curriculum. Four additional years of related … may be substituted in lieu of a degree. Minimum 6 years' related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research OR Advanced degree (e.g., Master's, PhD) in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or Related Field with Core Quantitative Curriculum and More ❯

and compliance policies and procedures. Evaluate model risk control strengths around model development, implementation, and use. Professionally develop on emerging modeling techniques and approaches. What you have: Bachelor's degree in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or a Related Field with Core Quantitative Curriculum. Four additional years of related … may be substituted in lieu of a degree. Minimum 6 years' related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research OR Advanced degree (e.g., Master's, PhD) in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or Related Field with Core Quantitative Curriculum and More ❯

and resolve complex technical issues across multiple environments.Stay up to date with emerging technologies and propose improvements to enhance system performance and maintainability. Required Skills & Qualifications Bachelors or Masters degree in Computer Science, Engineering, or a related field.1015 years of professional experience in software development with a strong focus on Python.Expertise in Python frameworks such as Django, Flask, or More ❯

documentation.Troubleshoot, debug, and resolve complex technical issues across multiple environments.Stay up to date with emerging technologies and propose improvements to enhance system performance and maintainability.Required Skills & QualificationsBachelors or Masters degree in Computer Science, Engineering, or a related field.1015 years of professional experience in software development with a strong focus on Python.Expertise in Python frameworks such as Django, Flask, or More ❯

Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. Nice-to-Have Skills Description: n/a Languages: English: C1 Advanced More ❯

Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. Nice-to-Have Skills Description: n/a Languages: English: C1 Advanced More ❯

tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or More ❯

tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or More ❯

useful life estimation Supply Chain Planning: Demand forecasting, inventory optimization, logistics planning, procurement analytics Commercial Transformation: Price optimization, customer lifetime value, churn prediction, marketing mix modeling Preferred Qualifications Advanced degree (Master's or PhD) in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field Big 4 or tier-1 consulting firm experience Certifications such as: Azure AI More ❯

key data jobs and pipelines. Work closely with BI and Product teams to deliver actionable insights and reporting solutions. What we’re looking for Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field (or equivalent experience). 6+ years of experience in data engineering and business intelligence , ideally spanning both traditional and modern More ❯

business improvements. Excellent communication skills, able to collaborate effectively with both technical and non-technical teams. Experience of project management in system upgrades, integrations, or digital transformation projects. Qualifications Degree (or equivalent) in Manufacturing Engineering, Mechanical Engineering, Computer Science, Information Systems, or related discipline. Professional certifications in ERP (e.g., SAP, Microsoft Dynamics, Epicor, NetSuite) or BI tools (e.g., Microsoft More ❯

regulators , internal audit, and risk teams during transformation governance. Strong commercial and business acumen; able to translate business priorities into feasible technical strategies. Education Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or Finance-related disciplines. Industry certifications in cloud (e.g., AWS/Azure Solution Architect), TOGAF, or financial regulation (e.g., CISI, CFA) are desirable. More ❯

workstream project team, fostering a culture of continuous improvement and innovation. Skills and Attributes for Success To qualify for the role, you must have: Bachelor's or master's degree in computer science, Information Technology, Business Administration, Accounting, Finance or a related field. Minimum of 8 years of experience in technology delivery, with at least 3 years delivering projects More ❯