Senior Data Scientist

Location: London
Job Type: Full-time                                                                                                                                     
Salary: Competitive

A leading technology organisation is seeking a skilled Senior Data Scientist to join their innovative team. The successful candidate will leverage their expertise to lead data science projects from end to end, contributing to solutions that enhance business operations across various industries, including healthcare, retail, logistics, finance, and digital transformation.

This technology company specialises in providing data-driven solutions and software development services across a range of sectors. Their offerings include the creation of websites, mobile applications, and SaaS products designed to fulfil specific business objectives, such as enhancing customer engagement, optimising operational efficiency, and driving sales growth. The company emphasizes collaboration with clients to develop tools that meet their unique business needs.

Key Responsibilities:

Lead Data Science Projects: Oversee the entire lifecycle of data science projects, from data acquisition and preprocessing to model deployment and monitoring, ensuring alignment with client business goals.
Model Development: Design, implement, and optimize advanced machine learning models and algorithms to address diverse business challenges, including customer insights, risk management, and operational efficiencies.
Collaboration: Partner with cross-functional teams, including product managers, data engineers, and stakeholders, to identify and capitalize on opportunities for leveraging data and machine learning in various business processes.
Mentorship: Provide guidance and mentorship to junior data scientists, fostering their development in analytical techniques and best practices.
Data Analysis: Conduct exploratory data analysis to uncover insights, trends, and anomalies that support strategic initiatives across different sectors.
Presentation of Findings: Create and deliver presentations that effectively communicate findings and recommendations to both technical and non-technical stakeholders, ensuring clarity and actionable insights.
Continuous Learning: Stay updated on the latest trends and technologies in data science and machine learning, integrating new methodologies into project workflows to enhance the company’s offerings.Key Requirements:

Experience: 4+ years of hands-on experience in data science, with a proven ability to lead end-to-end projects across various industries, including but not limited to healthcare, finance, and retail.
Technical Skills: Extensive experience in programming languages, particularly Python and R, is essential. Candidates should demonstrate a deep understanding of machine learning libraries such as scikit-learn, TensorFlow, and Keras, showcasing their ability to implement complex models and algorithms effectively.
Data Management: Strong experience with data manipulation and analysis tools, including SQL and big data technologies (e.g., Hadoop, Spark).
Analytical Skills: In-depth knowledge of statistical analysis techniques, model validation methodologies, and performance metrics.
Soft Skills: Excellent problem-solving abilities, strong communication skills, and a demonstrated capacity to lead and influence cross-functional teams.If you think you could be a good fit for this role and you have the relevant skills, send your CV across ASAP!

If you are interested please apply ASAP. The People Network is an employment agency and will respond to all applicants within three - five working days. If you do not hear within these timescales please feel free to get in touch