Showing 6 Sr Data Scientist jobs in Dublin.
Senior Data Scientist – Insurance Analytics
LexisNexis Risk Solutions is the essential partner for risk assessment. Within our Insurance business, we provide customers with solutions and decision tools that combine public and industry‑specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our solutions help drive better data‑driven decisions across the insurance lifecycle, all while reducing risk and optimising processes.
The Team
You will join a collaborative team of technical specialists who support data science initiatives across the UK, Ireland, and Europe. The team works closely with colleagues in Technology, Product, Account Management, Project Management, Marketing, Finance, and Legal to improve products and support data‑informed decision‑making.
About the Role
This role is suited to an experienced data professional who enjoys working across a variety of projects. You will apply data science and analytics techniques to real‑world business challenges, contribute to new and existing products, and communicate insights clearly to a wide range of audiences.
We welcome candidates from diverse backgrounds and career paths who meet most—or not necessarily all—of the criteria below.
Responsibilities
Contribute to data science projects across multiple business areas
Design and build analytical solutions, including data processing, statistical analysis, and machine learning
Explore new datasets and identify practical, high‑value use cases
Work collaboratively with technology, product, and data engineering teams to deliver reliable, production‑ready solutions
Communicate analytical findings clearly to both technical and non‑technical stakeholders
Support project planning, including requirements, timelines, and delivery
Help improve analytics platforms and cloud‑based workflows, including testing and migration activities
Use a combination of open‑source and proprietary tools to develop solutions
Share knowledge and support the development of colleagues through mentoring and collaboration
Travel occasionally between the UK and Ireland for meetings or workshops where required
Skills and Experience
Professional experience in data science, analytics, or a related field
Strong experience working with data, including extracting, cleaning, and transforming structured and semi‑structured data
Proficiency in SQL and at least one programming language such as Python or R
Experience or interest in scalable data processing (e.g., distributed or cloud‑based systems)
Understanding of data quality, integrity, and maintainable code practices
Familiarity with version control and collaborative development practices
Ability to communicate complex ideas clearly in writing and verbally
Experience working in regulated or commercial environments is helpful but not required
A degree or equivalent practical experience in a quantitative, technical, or analytical field
Advanced degrees and formal certifications are valued but not essential
Working for You – Benefits
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
Private medical benefits
Wellbeing programs
Life assurance
Group income protection
Access to a competitive contributory pension scheme
Employee Assistance Programme
RECARES days, giving you time to support the charities and causes that matter to you
Access to employee resource groups with dedicated time to volunteer
Access to extensive learning and development resources
Equal Opportunity Employer
We are an equal‑opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Lead Data Scientist – Network Analytics (Mastercard)
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Overview
Are you an experienced data scientist with a passion for technological innovation, a can‑do attitude and a strong sense of ownership? The Small and Medium Enterprise (SME) platform is the perfect opportunity for you to assist in the design and development of a world‑class unified platform, enabling Small and Medium Enterprises globally.
Key Responsibilities
Lead complex data modeling initiatives and projects to derive insights from extracted data to solve critical business questions
Translate client/stakeholder needs into technical analyses and/or solutions in collaboration with internal and external partners and present findings and outcomes to clients/stakeholders
Identify rich data sources and monitor the melding and cleaning of datasets to ensure consistency
Accountable for delivering high‑quality project solutions and tools within agreed‑upon timelines and budget parameters and conducting post‑implementation reviews
Guide others to develop sophisticated multivariate models and analytic solutions (e.g., dashboards, prototypes) utilizing complex statistical and data science techniques and methods
Delegate and review work for junior‑level colleagues to ensure downstream applications and tools are not compromised or delayed
Serve as a technical coach for junior‑level colleagues and develop technical talent via ongoing technical training, peer review, etc.
All About You
Extensive expertise in Python or other relevant programming languages
Strong background in statistical methods, machine learning algorithms, and predictive modelling
Skilled in using visualization tools like Tableau, Power BI, or similar to represent complex data
Proficiency in using big data technologies like Hadoop, Spark, or similar frameworks
Excellent in communicating complex data insights in a clear and effective manner
Proven ability to manage and deliver data‑centric projects successfully
Eagerness to stay abreast of the latest advancements in data science and technology
Familiarity with cloud platforms like AWS, Azure, or Google Cloud for data processing and storage
Knowledge of data security, privacy standards, and compliance regulations
Working experience in Agile teams, demonstrating skills in adapting to changing requirements, fostering team collaboration, and driving efficient, iterative development processes
Ability to work effectively in a team and with stakeholders from various backgrounds
What Makes You Stand Out
Proven expertise in deploying machine learning models to cloud‑based production environments, showcasing advanced skills in cloud technologies and the ability to scale models efficiently
Experience with the innovative application of Generative AI in commercial settings, demonstrating the ability to leverage cutting‑edge technology for practical business solutions
Background in the financial industry, providing a deep understanding of the sector's unique data challenges and how to address them effectively
Solid foundation in software engineering, with a focus on maintaining high code quality, effective version control, and rigorous testing practices, ensuring the development of robust and reliable software solutions
Corporate Security Responsibility
Every person working for—or on behalf of—Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks come with an inherent risk to the organization. It is expected that the successful candidate for this position must:
Abide by Mastercard’s security policies and practices
Ensure the confidentiality and integrity of the information being accessed
Report any suspected information security violation or breach
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines
Equal Opportunity
We are an equal‑opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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