Naimuri - Senior Data Scientist
// Role Summary
Join Naimuri as a Senior Data Scientist and contribute to making the UK safer through innovative data solutions. This permanent, full-time role in Salford Quays offers the opportunity to lead projects, mentor colleagues, and work on challenging government and law enforcement data problems.
// Key Responsibilities
- Lead the design and development of innovative data science solutions.
- Mentor and support junior data scientists, fostering team growth.
- Collaborate with cross-functional teams on complex data challenges.
- Analyse, model, and visualize complex data for diverse audiences.
- Contribute to the UK's safety through impactful data and technology projects.
- Enjoy flexible and hybrid working options in Manchester.
// Role Specification
About the Role
Naimuri is seeking a Senior Data Scientist to join our mission of enhancing UK safety through innovation. You will play a crucial role in maintaining our reputation for delivering robust solutions by applying a conscientious and scientific approach to customer data. Utilise your strong problem-solving skills to design and develop innovative techniques and tools in an agile manner. In collaboration with other data scientists, engineers, and developers, you will research, experiment, analyse, and visualise complex data, presenting your findings to customers and colleagues.
A significant aspect of this role involves mentoring and supporting earlier-career colleagues, cultivating a culture of continuous learning and shared expertise within 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, potentially creating synthetic data.
- Apply statistical methods to analyse customer data and report findings to co-workers, customers, and project leads.
- Identify opportunities to apply, design, and build algorithms to transform and interrogate data.
- Visualise and communicate data, model, and algorithm outputs for various audience comprehension levels.
- Utilise data science techniques, including ML/AI, to design and build solutions to customer problems, collaborating with software developers, data engineers, and testers for implementation and assurance.
- Work with data engineers and platform engineers to design, implement, and test data ingest pipelines.
- Collaborate 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 data manipulation.
- Conduct research into the application or development of new data science techniques, potentially collaborating with academic networks and co-supervising Masters and PhD candidates.
- Design and execute experiments, and communicate the experiment plan effectively.
About You
We are looking for a candidate with:
- Significant industry experience as a data scientist with a passion for data and strong opinions on best practices, techniques, and tooling.
- Experience leading teams or projects and a desire to help others develop and learn.
- A conscientious, curious, and scientific approach to work.
- A commitment to continuous learning about state-of-the-art techniques from technology, academic, and industry articles.
- Strong analytical problem-solving abilities to design and develop innovative data science solutions.
- Excellent communication and presentation skills for complex ideas to diverse audiences.
- Experience with deep dives into data and presenting analysis and modelling results using tools like Jupyter Notebooks.
- Experience designing and developing data ingestion and transformation pipelines in languages like Python, potentially using cloud solutions (AWS, Azure, or GCP).
- Familiarity with the full lifecycle of ML/AI models, from data collation to automated pipeline deployment.
- Experience contributing to an organisation's data science strategy.
- Comfort in designing and executing experiment plans and communicating them to stakeholders.
Nice to haves:
- Experience in Data Synthesis, Test and Evaluation, AI Assurance, Knowledge Graphs and Ontologies, Data Governance and Compliance, or Deepfake Detection.
- Experience creating Python-based applications and/or APIs.
- A degree in data science, physics, computational science, mathematics, or statistics, or equivalent demonstrable experience.
Location and Working Arrangements
This is a permanent, full-time position based at our Head Office in Salford Quays, Manchester. We offer hybrid working, allowing for a blend of remote and on-site work, typically one or two days per week, based on delivery needs and team agreements. You are welcome to spend more time in the office if preferred.
Pay and Benefits
Naimuri offers competitive industry pay, dependent on your experience and assessed seniority. A full-time week is 37.5 hours with flexibility over working hours, with core hours between 10:00 am and 3:00 pm. Part-time working can be discussed. Benefits include flexible/hybrid working, a company performance-related bonus, generous pension contributions, medical cover, a personal training budget, holiday buy-back, and a flexible benefits scheme.