Assistant Data Scientist - Fixed Term

What you'll do:

• Analyze large datasets to extract meaningful insights.
• Apply machine learning, data mining, and statistical techniques to uncover data value.
• Design efficient data structures and storage systems for data manipulation and retrieval.
• Develop data-driven models to measure data value and validate performance.
• Conduct Return on investment analysis and document/present model processes and results.
• Collaborate to develop best practices for using data and creating insights.
• Manage independent assignments, influencing project outcomes.
• Build positive stakeholder relationships by understanding their requirements and goals.
• Share knowledge with team members and participate in the broader analytics community through presentations.

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

What you'll bring:

• University degree in a related quantitative field (Data Science, Computer Science, Math, Statistics, Engineering, Physics, or related discipline).
• Fluent in English, both written and spoken.
• Any experience with probability, statistical inference, optimization algorithms, linear algebra, and calculus.
• Proficiency in applying main analytical techniques, such as regression analysis, machine learning, AI, deep learning, and other advanced modeling approaches.
• Some experience with model cross-validation techniques, including regularization and Bayesian shrinkage, and familiarity with statistical significance tests and Monte Carlo simulations.
• Proficient in writing code in general-purpose programming languages such as Python, including OOP principles, data structures, algorithms & design patterns
• Any experience with data querying languages (e.g. SparkSQL) and data visualization tools.
• Understand modern big data technologies, including the Apache family (Hadoop, Spark), database technologies (e.g., Graph databases, time-series databases), and natural language processing tools for unstructured data analysis.
• Understanding of specific product domains and their application to client solutions.
• Ability to communicate ideas and results both verbally and in writing, to both a technical and non-technical audience.

You will get:

• Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and books.
• Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
• Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!
• Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
• Opportunity for Flexible working hours and Home Office.

Experian is an Equal opportunity employer. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

#LI-Hybrid

This is a hybrid remote/in-office role.

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