The AA is embarking on an exciting growth and transformation phase and is seeking to recruit a Data Scientist for our Commercial team.
The Senior Data Scientist will work in a Pricing department which is a pivotal element of the wider Commercial division.
You will implement pricing processes based on complex business requirements to deliver reliable solutions to business strategies. Manage and target profit and growth of AA products through pricing initiatives. Provide analytical support on trading issues and solutions. Build and maintain complex reports and visualizations to improve business performance. Develop, test and deploy new pricing models to optimise our pricing and conversion strategy. Perform ad-hoc analysis on business processes and their development to answer key questions towards driving trading performance. Take ownership of and manage ad-hoc requests to support business development.
The successful candidate will be a highly driven, adaptable and confident person who can thrive in a rapidly changing organisation and will adopt a hands-on approach to their role.
Work location: Whilst the base for this role will be the company’s Head Office on Harcourt Street, Dublin 2 the role is eligible for the company’s Hybrid Working Policy.
Key Responsibilities:
As the AA business continues to evolve, so too will the responsibilities of this role evolve and change over time. The primary responsibilities and focus areas for this role will include the following:
· Lead the design, development, and implementation of operational machine learning processes that drive efficiency and trading success.
· Optimize machine learning algorithms to align with our business goals, ensuring continuous improvement and adaptation.
· Provide insightful analytics to support our operational business processes, enhancing decision-making.
· Offer analytical expertise to address trading issues and craft effective solutions.
· Develop and maintain intricate reports and visualizations that elevate business performance.
· Conduct in-depth ad-hoc analyses to guide trading strategies and process enhancements.
· Take ownership of ad-hoc requests, facilitating business development through data-driven insights.
· Collaborate cross-functionally to identify critical business inquiries and translate them into actionable data solutions.
· Apply your statistical prowess to uncover data trends, patterns, and correlations.
· Effectively communicate complex analytical findings to non-technical stakeholders in a clear and accessible manner.
· Stay abreast of industry trends and emerging technologies, pioneering innovative data analysis and model development approaches.
The Candidate should have the following:
Minimum qualifications, experience & skills
· Master or Ph D in a quantitative field as Statistics, Computer Science or Mathematics.
· Minimum 5 year of experience as a Data Scientist, with expertise in operational analytics and machine learning
· Experience with Statistical modelling techniques such as regression, segmentation, prediction and forecasting
· Experience in developing, testing and deployment of productionable code
· Experience designing, implementing, and optimizing machine learning algorithms
· Ability to produce accurate and high-quality work to agreed deadlines
· Strong programming capability
· Strong mathematical background and problem-solving skills
· Proven capability of leading and managing projects and business solutions
· Strong statistical knowledge, enabling you to extract insights that drive impactful decisions.
· Excellent communication skills for collaboration and presenting results to diverse stakeholders
· Prior experience in the trading industry is a plus.
Knowledge of
· Python
· SQL
· Microsoft Excel
· TIBCO Spotfire, Power BI or equivalent data visualization tools
Desirable
· Knowledge of data warehouses
· Knowledge of MS Azure
· Agile development processes and best practices
Additional Required Key Skills & Attributes
· A dynamic and driven individual who is highly adaptable and can thrive in a rapidly changing organisation.
· An excellent self-starter with the ability to own and drive their work independently while collaborating effectively where required internally
· A positive can-do attitude and someone who can bring innovative solutions to the table on any challenges that may arise
· A strong work ethic and highly committed individual with a proven track record of delivering successfully to deadlines
· Ability to rapidly flex and reprioritise according to the ever-changing needs of the business and the entrepreneurial culture of the AA
· A highly organised individual with ability to plan and prioritise workloads effectively for maximum impact and adapt around changing priorities as required
· Strong analytical skills and commercial acumen
· Excellent drive, enthusiasm and commitment
· Exceptional interpersonal, communication and teamwork skills, and ability to influence and develop relationships with individuals at all levels of the organisation
· Is resilient and can cope with high pressure work environment
About the AA
The AA (Ireland) is Ireland’s premier motoring organisation, established over 110 years ago. Best known for AA Membership and roadside rescue, our trained mechanics in the AA Patrols fix 8 out 10 breakdowns on the side of the road, 24/7, 365 days a year.
In addition to our expertise on Irish roads we are also one of the country’s leading insurance providers. Our track record of providing reassurance, support and innovative thinking is unrivalled, finding the cover that best suits our customers, at the best possible price. We provide AA Membership, AA Car Insurance, AA Home Insurance, AA Home Membership and AA Travel Insurance.
In 2020 the AA was purchased by Further Global Capital Management and is on an exciting growth and transformation journey. The AA currently employs approximately 580 employees.
More information on the AA is available on our website: https://www.theaa.ie
Job Type: Full-time
Additional pay:

• Bonus pay

Benefits:

• Bike to work scheme
• Company pension
• Employee assistance program
• Employee discount
• Gym membership

Schedule:

• Monday to Friday

Experience:

• Analytics: 5 years (required)

Work authorisation:

• Ireland (required)

Work Location: Hybrid remote in Dublin 2, CO. Dublin