Senior Data Scientist

The Data capability team at Naimuri offers a unique opportunity to apply your skills to impactful projects. It's a rapidly growing, collaborative, and supportive environment where we analyse and investigate data, design solutions to exciting data-driven challenges, and make a real difference for our customers. We are passionate about continuous learning and fostering shared expertise within the team.

Data Scientists within our Data capability team are often working on:

• Analysing customer requirements in long-term projects and new bid work to uncover opportunities for customers to leverage their data.
• Analysing and modelling customer data, performing statistical analyses, designing cleansing, transformation and normalisation processes, performing feature extraction/reduction, and designing solutions and opportunities.
• Performing, visualising, and presenting data analyses and analytics to customers and project leads, including on-site.
• Engineering platforms, databases, and data pipelines as part of broader delivery solutions.
• Training (inc. transfer learning and feature extraction) and deploying ML/AI models for prediction, detection, classification, etc.
• Writing or supporting software solutions that implement data science models, tools, and techniques.

About the role:

 As a Senior Data Scientist, you will help maintain our strong reputation for delivering robust solutions by taking a conscientious and scientific approach to customer data. You will use your strong problem-solving skills to design and develop innovative techniques and tools in an agile manner. Working collaboratively with other data scientists, engineers, and developers, you will research, experiment, analyse and visualise complex data, presenting your findings to customers and colleagues.

A key part of this role is mentoring and supporting earlier-career colleagues, helping to foster a culture of continuous learning and shared expertise across the team.

You will work closely with customers, other data scientists, data architects, data engineers, software developers, and testers to:

• Investigate, transform (with provenance), and model customer data, and potentially create synthetic data in lieu.
• Apply statistical methods to analyse customer data and be able to report that analysis to co-workers, customers, and project leads.
• Identify opportunities to apply, design and build algorithms to transform and interrogate data.
• Visualise and communicate data and model and algorithm outputs for audiences of different levels of understanding.
• Use data science techniques, including ML/AI, to design and build solutions to customer problems, and work with software developers, data engineers and testers to implement and assure them.
• Work with data engineers and platform engineers to design, implement and test data ingest pipelines.
• Work with other data scientists and ML and platform engineers to design, train, test and deploy ML/AI models.
• Test and compare the effectiveness of different mathematical and computational techniques for working with data.
• Conduct research into the application or development of new data science techniques, potentially collaborating with our expansive academic network, and co-supervising Masters and PhD candidates.
• Experiment design and execution/running, and communication of the experiment plan.