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Senior Data Scientist - Flutter UK&I

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Description

Job Summary:

We are seeking an experienced and highly skilled Senior Data Scientist to join our dynamic and innovative team. As a Senior Data Scientist, you will play a crucial role in driving data-driven decision making, developing advanced analytical models, and leading complex data science projects. You will collaborate with cross-functional teams to extract insights from large datasets, develop predictive models, and provide strategic recommendations to optimize business processes and drive growth. The ideal candidate should have a strong background in statistics, machine learning, and programming, combined with excellent problem-solving skills and a passion for turning raw data into actionable insights.

Responsibilities:

  • Lead Data Science Projects: Plan, design, and execute end-to-end data science projects, including data collection, preprocessing, feature engineering, model development, validation, and deployment.

  • Statistical Analysis: Apply advanced statistical techniques to analyze large datasets and uncover patterns, trends, and correlations that provide valuable insights to support business objectives.

  • Machine Learning and Modelling: Develop and implement predictive and prescriptive models using machine learning algorithms and techniques, such as regression, classification, clustering, time series analysis, natural language processing, and deep learning.

  • Data Visualization: Create clear and compelling visualizations to effectively communicate complex analytical findings to stakeholders and non-technical teams.

  • Cross-Functional Collaboration: Collaborate with stakeholders from different teams, including business, product, and engineering, to understand requirements, identify opportunities, and provide data-driven recommendations.

  • Performance Optimization: Continuously improve the accuracy, efficiency, and scalability of existing models and algorithms, and identify areas for optimization and innovation.

  • Mentorship and Leadership: Provide guidance and mentorship to junior data scientists, review their work, and contribute to building a strong data science team.

  • Stay Updated: Keep abreast of the latest advancements in data science, machine learning, and related fields, and proactively identify opportunities to leverage emerging technologies and techniques.

Requirements:

1. Education: Master's or Ph.D. degree in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, or a related discipline. Equivalent work experience will also be considered.

2.Experience: Minimum of 5 years of experience in a data science or similar role, with a demonstrated track record of successfully delivering data-driven projects.

3.Technical Skills:

  • Proficiency in programming languages such as Python, R

  • Strong knowledge of machine learning techniques and algorithms.

  • Frameworks like LightGBM Xgboost, Tensorflow, PyTorch

  • Experience with statistical analysis, data mining, and data manipulation.

  • Familiarity with big data technologies such as Spark or SQL.

  • Expertise in data visualization tools like Tableau, Power BI, or matplotlib.

  • Expertise in virtual environments such as anaconda

  • Experience with Docker would be considered a plus

  • Experience with ML clouds such as AWS, GCP, or Azure would be considered a plus

4.Analytical Skills: Excellent problem-solving skills and the ability to think critically, interpret complex data, and derive actionable insights.

5.Communication: Strong verbal and written communication skills in English, with the ability to explain complex concepts and insights to both technical and non-technical audiences.

6.Leadership: Proven experience in leading and managing data science projects, working with cross-functional teams, and mentoring junior team members.

7.Adaptability: Ability to work in a fast-paced, dynamic environment, handle multiple projects simultaneously, and adapt to changing priorities.

8.Continuous Learning: A passion for learning and staying up-to-date with the latest trends and advancements in data science, machine learning, and related fields.

We offer an opportunity to work with a collaborative team on cutting-edge data science projects. If you are a self-driven, results-oriented Data Scientist with a passion for leveraging data to drive business success, we would love to hear from you.

What you can expect

  • 25 days of annual leave;

  • Sharesave scheme;

  • ”Flexible Benefits” of your choice;

  • Private health insurance (includes dental insurance and health assessments);

  • Free parking;

  • Thousands of courses online through ‘Udemy'

Ways of working

Flexible working is our way of working! We're a diverse workforce and therefore a 'one size fits all' approach isn't necessarily best. Whatever your personal needs may be, let's have a chat and see how we can accommodate them;

We thank all applicants for their interest, however only the suitable candidates will be contacted for an interview.

By submitting your application online, you agree that: your details will be used to progress your application for employment. If your application is successful, your details will be used to administer your personnel record. If your application is unsuccessful, we will retain your details for a period no longer than two years, in order to consider you for prospective role within the company.

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