30 Data Science jobs in Ireland

Applications are sought for Ad Astra Fellow - Assistant Professor of Agri-food Systems Data Science within the College of Health and Agricultural Sciences. Applications are invited for the post of Assistant Professor in Agri-Food Systems Data Science at the UCD School of Agriculture & Food Science. This position offers an exciting opportunity to contribute to cutting-edge research and teaching while addressing critical national and global challenges in sustainable food systems. We invite dynamic and ambitious scholars with a strong background in applying artificial intelligence (AI), machine learning (ML) and Multiple Criteria Decision Analysis (MCDA) to complex datasets within agri-food systems. The successful candidate will play a leading role in advancing the School's expertise in agri-food systems modelling, focusing on sustainability and innovation in food production. They will be instrumental in developing a vibrant research agenda, collaborating with interdisciplinary teams, and making significant contributions to both teaching and student mentorship. This position is aligned with UCD's Strategy to 2030, particularly its pillars of Advancing Research and Innovation and Driving Sustainability. The successful candidate will contribute significantly to UCD's mission of addressing pressing societal challenges through impactful research, teaching, and collaboration. 95 Lecturer/Asst Professor Above the Bar (7943) Salary Scale: €62,855 - €99,533 Per Annum Appointment will be made on scale and in accordance with the Department of Finance guidelines. Closing date: 12:00 noon (local Irish time) on the 29th August 2025. Applications must be submitted by the closing date and time specified. Any applications which are still in progress at the closing time of 12:00 noon (Local Irish Time) on the specified closing date will be cancelled automatically by the system. UCD are unable to accept late applications. Please note: the eRecruitment system only requests the names of two referees. The full list of 3 referees should be included in the text of your application. UCD do not require assistance from Recruitment Agencies. Any CVs submitted by Recruitment Agencies will be returned. Note: Hours of work for academic staff are those as prescribed under Public Service Agreements. For further information please follow the link; To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process click the Apply button below to Login/Register.

It's fun to work in a company where people truly BELIEVE in what they're doing!
_We're committed to bringing passion and customer focus to the business._
Corporate Overview
Proofpoint is a leading cybersecurity company protecting organizations' greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber-attacks. Leading organizations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web.
We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That's why we're a leader in next-generation cybersecurity.
Protection Starts with People. Proofpoint.
**The Role**
Proofpoint is looking for a Machine Learning Scientist to join the Algo team within the Tessian Business Unit. In this role, your key responsibility will be to analyse data, build ML models and improve algorithms at the core of our email threat detection engine that protects some of the largest businesses in the world. You will collaborate with Product and Engineering teams to identify and solve the most impactful problems applying state-of-the-art machine learning tools and techniques. You'll be surrounded by incredibly smart, talented and friendly colleagues. Engineers at Tessian love to learn from each other and pull together as a team to succeed.
*This is a Hybrid role; Cork or Belfast.
**Your day-to-day**
-Wrangle and draw meaningful insights from massive amounts of unstructured textual data using the latest tools and technologies like Spark, Iceberg, Athena, AWS SageMaker
-Apply unsupervised learning algorithms across billions of email interactions to identify emerging threat patterns
-Work with state-of-the-art machine learning models and techniques like encoder-decoder transformers, LLMs, anomaly detection as well as classical ML models to solve a multifaceted problem
-Engineer new features, train and deploy models to production using AWS SageMaker as the MLOps platform
-Adopt a data-driven approach to identify gaps in our detection algorithms and propose improvements to our models and algorithms
-Promote and drive ML best practices and cultivate an environment of experimentation and learning
-Stay up to date with the latest advancements in machine learning, AI technologies, and incorporate them into our solutions where applicable
**What you bring to the team**
Essential
-Experience contributing to multiple highly impactful machine learning projects with proven results
-Hands-on experience in the NLP domain involving training, fine-tuning and productionising transformer-based models for text classification / text-embeddings (experience with LLMs, generative AI is a plus)
-Experience monitoring and maintaining performance of models over time in production considering model/data drifts In-depth experience with one or more deep neural network frameworks (e.g. PyTorch, Tensorflow, JAX)
-A creative mindset, propensity to care deeply about the impact their team has and to encourage novel ways of critical thinking in their team
Good to have
-Conceptual understanding of Graph Neural Networks and experience applying GNNs to solve real world problem statements will be a plus
-Experience working on large imbalanced datasets, evaluating and selecting models that work well in production on imbalanced real-world data
Why Proofpoint
Protecting people is at the heart of our award-winning lineup of cybersecurity solutions, and the people who work here are the key to our success. We're a customer-focused and a driven-to-win organization with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly 'culture-add', and we strongly encourage people from all walks of life to apply.
We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! #LifeAtProofpoint
#LI-Hybrid
_If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!_
Proofpoint has been honored with six Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Career Growth, Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams.
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
Our BRAVE Values:
At Proofpoint, we are BRAVE in everything we do, and our values aren't just words-they shape how we work, collaborate, and grow.
We seek people who are bold enough to challenge the status quo, responsive in the face of ever-evolving threats, and accountable for delivering real impact.
We value those with a visionary mindset who anticipate what's next and push cybersecurity forward, and we celebrate exceptional execution that ensures we continue to defend data and protect people.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Find your network, your allies, and your biggest fans. We know that work is simply better when you're surrounded by people who inspire you-who share ideas, cheer you on, and genuinely want to see you succeed. That's why we offer social circles, sponsored networks, and connection points across teams and time zones-to help you find your people, build your community, and thrive together.
This isn't just a job-it's a mission to protect people and defend data in a world that never slows down. We're building the future of human-centric cybersecurity, and that future belongs to all of us. We take ownership, move fast, and hold ourselves accountable-because that's what it takes to stay ahead. And we do it together, winning as one.
Be empowered to reach your full potential through meaningful challenges and personalized support-designed around you and your goals. Whether you're growing as a leader or leveling up from great to exceptional as an individual contributor, we're here to help you get there.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.

Senior Machine Learning Engineer Location: Galway Salary: € Hybrid Reperio are working with a large fintech company who are seeking a Senior ML Engineer to join their ever-expanding team. The successful candidate will play a crucial role in designing developing and deploying scalable ML models in production environments. You will lead the end-to-end ML lifecycle, from data preparation, model, evaluation, deployment and monitoring. Requirements: 5+ years of experience in ML engineering, data science, or applied machine learning roles Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Solid understanding of computer science fundamentals (algorithms, data structures, software design) Experience with ML Ops tools and cloud platforms (e.g., AWS SageMaker, GCP Vertex AI, MLflow, Docker/Kubernetes) Proven track record of deploying ML models into production Excellent problem-solving, communication, and collaboration skills Nice to Have: Experience with LLMs, deep learning, or NLP systems Familiarity with big data technologies (Spark, Hadoop, etc.) Benefits: Pension Healthcare Bonus Excellent career progression opportunities Flexible hybrid working model with remote options available If this role as a Senior ML Engineer interests and suits you, then apply using the link below. If you require any further information, get in touch with Jamie Sadlier at Reperio. Reperio Human Capital acts as an Employment Agency and an Employment Business. Skills: Senior ML Engineer Python MLOps LLMs Galway Hybrid Benefits: Work From Home

**Company:**
QT Technologies Ireland Limited
**Job Area:**
Engineering Group, Engineering Group > ASICS Engineering
**General Summary:**
**About Qualcomm:** Qualcomm is a leader in wireless innovation, shaping the future of connected devices. Our cutting-edge technologies power billions of products worldwide, and our low-power Machine Learning (ML) solutions set the standard for efficiency and scalability.
**Role Overview:** Join Qualcomm's NPU Architecture team as a Machine Learning Engineer specializing in PyTorch/C++ development. In this role, you will create and optimize critical technologies for our compiler, quantization processes, ML workloads, and performance optimizations. You will also collaborate directly with strategic customers to deliver impactful solutions, shaping the future of energy-efficient ML technology. Your work will empower the world's lowest-power ML solution, deployed in more devices globally than any other.
**Key Responsibilities:**
+ Develop and enhance ML compilers using PyTorch and C++ tailored for Qualcomm's Neural Processing Unit (NPU) architecture.
+ Design and implement advanced quantization techniques to improve model efficiency and accuracy.
+ Optimize ML workloads for deployment across diverse devices, ensuring top-tier performance and energy efficiency.
+ Work directly with strategic customers to address specific challenges and deliver tailored ML solutions.
+ Collaborate with architecture and software engineering teams to integrate cutting-edge ML technologies into Qualcomm platforms.
+ Research, prototype, and implement innovative solutions in ML compiler design and system-level optimizations.
+ Evaluate and debug ML performance to identify and resolve bottlenecks in complex workflows.
+ Create thorough technical documentation to share knowledge and advancements with the team.
**Minimum Qualifications:**
- Bachelor's degree in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience.
OR
Master's degree in Science, Engineering, or related field and 1+ year of ASIC design, verification, validation, integration, or related work experience.
OR
PhD in Science, Engineering, or related field.
**Qualifications:**
+ Bachelor's or advanced degree in Computer Science, Electrical Engineering, Machine Learning, or a related discipline.
+ Strong expertise in PyTorch and C++ programming.
+ Experience with ML workload analysis, compiler development, and quantization techniques.
+ Familiarity with deep learning frameworks such as TensorFlow or ONNX is a plus.
+ Proven track record of solving complex performance and efficiency challenges in hardware-aware ML solutions.
+ Ability to work collaboratively with strategic customers and deliver impactful results.
+ Excellent analytical skills and ability to thrive in a high-performance team environment.
**Preferred Qualifications:**
+ Experience with ML model deployment on hardware accelerators such as GPUs, TPUs, or NPUs.
+ Understanding of system-level architecture and low-level programming.
+ Contributions to ML research or publications in relevant fields are an advantage.
**Why Join Qualcomm?** At Qualcomm, you'll be part of an innovative team that drives impactful advancements in ML technology. As a member of the NPU Architecture team, you'll work directly with strategic customers to create customized solutions while shaping the future of energy-efficient ML. Your contributions will support technology that powers more devices worldwide than any other ML solution.
*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found here ( . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
**To all Staffing and Recruiting Agencies** : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers ( .
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification

Job Title: Lecturer in AI and Machine Learning for Life Science Department: School of Pharmacy and Biomolecular Sciences Reporting to: Head of School or nominee Location: 123 St. Stephens Green, Dublin 2 Contract/Duration: Full-time, Permanent Closing Date: 22nd July, 2025 Objective of this post are to: Design, deliver and continuously improve undergraduate and postgraduate teaching that integrates AI/ML theory with practical applications in biomedical science, including but not limited to our BSc 'Advanced Therapeutic Technologies' and MSc 'Technologies and Analytics in Precision Medicine'. Bring practical, real-world AI/ML experience from working directly with clinical, biomedical, pharmaceutical, or life science data - for example, multi-omics, medical imaging, health records, digital biomarkers, or clinical trials. Sustain an internationally competitive, interdisciplinary research programme applying advanced AI/ML to challenges in human health and the life sciences. Proactively seek funding and build research partnerships with clinical teams, biopharma, digital health start-ups, or public health bodies. Specific Responsibilities include: Teaching : Preparation, delivery and assessment in the broad curricular areas of Machine Learning/Artificial Intelligence in Health, on our undergraduate and post-graduate programmes, as required, ensuring at all times that teaching material is innovative, up-to-date and in line with international best practice, Demonstrate a student-centred approach to all duties to ensure optimal educational outcomes. Lead development of innovative modules that apply AI/ML techniques to real datasets from genomics, clinical trials, or medical imaging. Incorporate ethical and explainable AI practices relevant to life sciences research. Participate in cross-functional teams to design and deliver academic programmes. Contribute to the quality assurance/quality improvement and accreditation of all programmes delivered in the School. Participate in the delivery of our teaching learning, assessment and feedback strategy including the effective use of technology-enhanced learning. Maintain and develop the School's relationship with clinical and industrial teaching/placement sites (as appropriate). Research : Engage in internationally competitive innovative research and knowledge transfer activities in the area of Artificial Intelligence/machine learning in Health, aligned to designated areas of priority for the School and the College. Actively seek funding to support these, either independently or as part of a team, and generate high impact research outputs consistent with expectations at this level. Contribute to and support ongoing academic and industry-based research collaborations within the School, nationally and internationally. Supervise undergraduate and postgraduate research projects across the School of Pharmacy and Biomolecular Sciences. Contribute to School thesis review committees as required. Service : Comply with statutory legislation and departmental rules and requirements in furtherance of your own, staff and student welfare and safety. Competent discharge of academic administrative duties and engagement across the School and Faculty of Medicine and Health Sciences, in aspects such as attendance at examination boards, team meetings, interviewing prospective students, attendance at Open Days, outreach events etc. Support activities to realise RCSI's vision in embedding AI and digital health in education and research practices Promote the best interests of RCSI at all times, enhancing the School's reputation in both research and education. Support students through student centered initiatives, such as personal tutoring/mentoring, and other initiatives, as appropriate. Foster and supporting links with national and international academic partners. Perform such other duties as may be required from time to time. Qualifications - (Essential): Has a PhD degree or equivalent in Machine Learning/Artificial Intelligence, Computational Biology, Computer Science or related area Has clear evidence of applying advanced AI/ML methods in life sciences, biomedical research, or clinical domains. Experience with large-scale health or biomedical data (e.g. genomics, proteomics, imaging, EHR) and relevant statistical modelling. Knowledge & Experience - (Essential): Has clear and demonstrable experience in the delivery of teaching at undergraduate and postgraduate levels in Artificial Intelligence Has a teaching related qualification (desired) Has a sustained track record of both senior authorship of papers in high quality peer-reviewed journals and of securing competitive grant funding in areas related to Artificial Intelligence Has experience of supervising undergraduate and postgraduate research students Can function effectively within a team, using clear and effective communication. Requires minimum direction to effectively deliver on assigned functions, and demonstrates a positive, student-centred and solution focused approach to addressing challenges and ambiguity. Has flexibility to work irregular hours on occasion. We are all too aware that imposter syndrome and the confidence gap can sometimes stop fantastic candidates putting themselves forward, so please do submit an application. Application Process Please apply online through the RCSI careers portal on the closing date with your CV and cover letter. Informal Enquiries can be directed to Dr. Sudipto Das (Vice Dean for AI and digital, connected health): . Please note we do not accept CVs directly.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start **Caring. Connecting. Growing together.**
As a Fortune 5 business, we're one of the world's leading healthcare companies. There are no limits here on the resources you'll have or the challenges you'll encounter.
We have been supporting global healthcare systems from Ireland and the UK for more than 20 years, building a dynamic and diverse team of more than 2,100 talented individuals. With a continued record of growth and stability, we're on the constant lookout for fresh talent to join our expanding teams.
As a Software Engineer, you will be a fundamental part of a delivery project, leading one of our scrum teams within the Provider Tech space in Dublin. You will be working with a very technical piece of architecture and will collaborate with internal IT Specialists and strategic partners through all phases of the development life cycle.
**Schedule:** Full-time position, Monday - Friday with standard working hours
_Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny Offices and telecommuting from a home-based office in a hybrid work model._
**Primary Responsibilities:**
+ Machine Learning Model Development:
+ Assist in designing and developing machine learning models to address business challenges
+ Perform data preprocessing and feature engineering
+ Support model selection and initial optimization
+ Model Deployment and Monitoring:
+ Assist in deploying machine learning models into production environments
+ Monitor model performance and suggest updates and improvements
+ Ensure models are reliable and maintainable
+ Data Science and Data Engineering:
+ Conduct exploratory data analysis and visualize data insights
+ Help develop and maintain data pipelines for efficient data processing
+ Experience in developing AI Agentic solutions
_You will be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in._
**Required Qualifications:**
+ Programming skills in Python and PySpark
+ Understanding with Machine Learning Frameworks and Libraries (e.g., PyTorch, scikit-learn, TensorFlow, MLflow, Keras, XGBoost)
+ Experience with cloud platforms, particularly AWS AI services (Bedrock, SageMaker) and/or Azure OpenAI Service
+ Proven experience in developing and deploying LLM-powered applications in production
+ Understanding of modern NLP techniques (e.g. transformers, embeddings, prompt engineering)
+ Experience with foundation models and generative AI platforms (e.g. OpenAI, Anthropic, open-source models)
+ Experience in building RAG solutions with vector databases (e.g. pgvector, Pinecone, OpenSearch)
+ Exposure to AI orchestration frameworks such as LangChain, LangGraph and others
+ Familiarity with MLOps practices (deployment, monitoring, model lifecycle)
**Soft Skills:**
+ Communication and collaboration skills
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
_All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy._
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
_Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer, and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveler community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2024 Optum Services (Ireland) Limited. All rights reserved._
#RPO

**Data Scientist - Dublin/Letterkenny Hybrid**
Optum is a global organisation that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
**About the Role:**
As a Fortune 5 business, we're one of the world's leading healthcare companies. There are no limits here on the resources you'll have or the challenges you'll encounter.
We have been supporting global healthcare systems from Ireland and the UK for more than 20 years, building a dynamic and diverse team of more than 2,100 talented individuals. With a continued record of growth and stability, we're on the constant lookout for fresh talent to join our expanding teams.
You will be working on innovative AI projects driving and supporting various advanced analytic solutions aimed to improve healthcare delivery. You will be an important member of a Data Science team focused on innovation; developing predictive models that leverage data in new and exciting ways. It will give you a great opportunity to get into the Healthcare Data world and learn best practices in the industry working with data both on-prem and in cloud.
You will work in close collaboration with business and product stakeholders, as well as with Business Intelligence and Data Engineering teams. You will contribute across the Data Science toolset, patents or products in areas like shared codes, best practices, technology and quality. You will embrace continuous learning and evangelizing of Data Science practices to ensure industry best practices and technology adoption. In addition to having impact on a great team, you'll also discover the career opportunities you'd expect from an industry leader.
**Primary Responsibilities of the Data Scientist:**
- Research, interpret, and analyse diverse and complex data and communicate findings to inform the business.
- Work with business to develop and operationalize analytic solutions
- Leverage big data analytics infrastructure comprising Python, Spark, Databricks and Snowflake to solve complex business problems in the healthcare domain.
- Collaborate with fellow data scientists, business analysts, data engineers and subject matter experts to design and oversee the development of data science solutions.
- Contribute to and engage with the innovation and patenting programmes.
_You will be rewarded and recognised for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in._
**Required Qualifications of the Data Scientist:**
- Degree in mathematics, physics, computer science, engineering, statistics, bioinformatics, actuarial science or similar.
**Technical Skills:**
- Ability to clean, transform, and analyze data using programming languages such as Python or SQL
- Experience with statistical modelling and machine learning techniques
- Proficiency in data visualization and communication of results
- Understanding of database management, data structures and modern big-data frameworks
**Business Skills:**
- Understanding of business objectives and ability to translate them into data science projects
- Familiarity with project management methodologies and ability to manage projects with clear timelines and deliverables
- Ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders
- Understanding of ethical considerations in data science and ability to apply them in practice
**Interpersonal Skills:**
- Good communication skills and ability to work collaboratively in a team environment
- Demonstrated ability to learn quickly and adapt to new technologies and tools
- Attention to detail and ability to prioritise tasks effectively
- Strong problem-solving skills and ability to work independently to solve complex problem
- Strong presentation skills and ability to communicate complex technical concepts to non-technical stakeholders
**Preferred Qualifications:**
- Masters or PhD in applied mathematics, physics, computer science, engineering, statistics, bioinformatics, actuarial science or similar.
- Proficiency in Python, PySpark and other relevant environments.
- Experience or knowledge with cloud-based data analytics such as Azure, Snowflake and Databricks
- Experience in working with healthcare and/or temporal data.
- Track record of designing and applying machine learning solutions for real world problems.
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy.
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
_Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2024 Optum Services (Ireland) Limited. All rights reserved._
**_#RPO #BBMEMEA_**

The Centre for Intelligent Power, located at Eaton's global headquarters in Dublin, Ireland, is at the forefront of applying AI and data science to revolutionize how we manage and use power. We tackle today's toughest digital challenges while developing breakthrough technologies that will power the next generation of intelligent, sustainable products and services.
As we continue to grow, we're looking for Data Scientists to join our expanding team. In this role, you'll research and develop advanced algorithms that address emerging challenges in the industrial and energy domains. You'll work closely with cross-functional teams to turn data into actionable insights and deployable solutions.
**What you'll do:**
+ Research and develop cutting-edge AI and data science algorithms
+ Analyze data to uncover insights and inform algorithm development
+ Incorporate system constraints into algorithm and dataset design
+ Design experiments and create high-quality labelled datasets
+ Plan and manage projects using Agile methodologies
+ Document and present solutions using diagrams, code, and performance metrics
+ Stay current with the latest tools, techniques, and academic research
**Qualifications:**
+ MSc or PhD in Data Science, Computer Science, Engineering, Physics, or a related field
+ 1-4 years of experience applying data science to real-world problems
+ Proficiency in Python, MATLAB, Simulink, and C/C++ Experience with algorithm optimization, embedded deployment, and automatic code generation
+ Familiarity with signal processing and machine learning for power systems is a plus
+ Strong communication skills and ability to work in cross-functional teams
+ Experience with Agile development and mentoring is desirable
+ A track record of academic publications or intellectual property generation is a bonus
**What we offer:**
+ Competitive Compensation & Benefits: Including pension, private health insurance, wellness programs, and more
+ Challenging & Impactful Work: Engage in cutting-edge projects within a dynamic, collaborative team environment
+ Career Growth: We prioritize internal mobility and support your professional aspirations through clear development pathways
+ Continuous Learning: Access to ongoing training and development through Eaton University and other learning platforms
+ Long-Term Investment in You: At Eaton, we don't just offer jobs-we build careers
#LI-MM2
We are committed to ensuring equal employment opportunities for job applicants and employees. Our recruitment processes use balanced selection criteria and avoid unlawful discrimination against applicants on the basis of their age, colour, disability, marital status, national origin, gender, gender identity, genetic information, race or racial origin, religion, sexual orientation or any other status protected or required by law.