Data Scientist

Job Title: Data Scientist Job Description We are seeking a highly skilled Data Scientist to join a pioneering new team of eight professionals focused on developing innovative products. This role offers the opportunity to work with large data sets and cutting-edge technologies in a dynamic and forward-thinking environment. Responsibilities • Combine, interrogate, and manipulate large data sets using big data tools such as Hadoop and Spark. • Utilise common programming languages, with a preference for Python, and employ various statistics and machine learning libraries like scikit-learn and PySpark. • Understand and apply trade-offs between different machine learning model validation metrics, such as AUC and recall, to optimise model performance based on business needs. • Communicate directly with business partners to translate statistical findings into actionable business insights. • Utilise BI visualisation tools like Tableau, Domo, and Power BI. • Optimise big data ETL pipelines to enhance efficiency and performance. Essential Skills • Demonstrated ability to work with big data tools, including Hadoop and Spark. • Extensive experience with programming languages, especially Python. • Proficiency in using machine learning libraries such as scikit-learn and PySpark. • Strong understanding of machine learning model validation metrics. • Knowledge of version control systems like Git. • Effective communication skills to translate data insights into business strategies. Additional Skills & Qualifications • Experience in deploying machine learning models to cloud-based production environments. • Experience with Databricks. • Experience with innovative applications of Generative AI in commercial settings. • Background in the financial industry. • Solid foundation in software engineering, with a focus on maintaining high code quality, effective version control, and rigorous testing practices. Why Work Here? Join a dynamic and innovative team that values creativity and cutting-edge technology. Enjoy opportunities for professional growth and development in an environment that encourages collaboration and innovation. Benefit from working on exciting projects that have a real impact in the industry. Work Environment The work environment is collaborative, with a focus on innovation and the development of new products. Team members use advanced technologies and tools, working on flexible schedules to deliver high-quality results. The dress code is business casual, promoting a comfortable yet professional atmosphere. Job Type & Location This is a Contract position based out of london, United Kingdom. Location London, UK Trading as TEKsystems. Allegis Group Limited. Level 1, The Chase, Carmanhall Road, Sandyford, Dublin 18, Ireland. No. 909257. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at https://www.allegisgroup.com/en-gb/privacy-notices. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to https://www.allegisgroup.com/en-gb/privacy-notices. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at https://www.allegisgroup.com/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.