Data Scientist

at  Harris Computer Systems

i2 Group, a Harris Computer company, are seeking a skilled Data Scientist to help us enhance our i2 products and services, which are used around the world by national security, law enforcement, military, and commercial organisations.
The ideal candidate will possess a strong background in statistical analysis, data manipulation, and machine learning, enabling them to extract valuable insights from large and complex datasets. If you are passionate about creating efficient and scalable solutions, and are eager to collaborate within a fast-paced environment, we encourage you to apply.
This permanent position will be performed on a remote basis with a requirement to visit the i2 Office in Cambridge, UK as and when there is a business need to do so (circa 2 days per month).

Responsibilities

• Collaborate with cross-functional teams to understand business objectives and formulate data-driven solutions.
• Clean, preprocess, and analyze large datasets to uncover meaningful patterns, trends, and insights.
• Develop and implement machine learning models for predictive and prescriptive analysis.
• Conduct exploratory data analysis to generate hypotheses and guide further research.
• Stay updated with the latest advancements in data science and machine learning, and apply relevant techniques to solve real-world problems.
• Communicate findings and results effectively to both technical and non-technical stakeholders through visualizations, reports, and presentations.
• Collaborate with data engineers to ensure data availability, quality, and reliability for analysis.
• Participate in the development of data-driven products and solutions from conception to deployment.

Requirements

• Master’s or PhD in Data Science, Computer Science, Statistics, or a related field.
• Proven experience as a Data Scientist or similar role, showcasing successful implementation of machine learning models and data-driven solutions.
• Proficiency in programming languages such as Python or R for data analysis and model development.
• Strong understanding of statistical analysis, hypothesis testing, and experimental design.
• Hands-on experience with data manipulation libraries (e.g., pandas, numpy) and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Solid knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Tableau) to effectively communicate insights.
• Familiarity with database systems and SQL for querying and extracting data.
• Strong problem-solving skills and the ability to think critically about complex challenges.
• Excellent communication skills to convey technical concepts to non-technical stakeholders.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies is a plus.
• Publications or contributions to the data science community are a bonus.

About i2
Our intelligence analysis software tools help analysts transform data real-time enabling customers to better leverage data and to detect, disrupt and defeat sophisticated threats. Customers are better able to track critical missions across law enforcement, fraud and financial crime, military defense and national security.
https://i2group.com
As a Harris Computer company, we strive to create a respectful and united environment where all members of our globally diverse community are empowered and have equitable opportunities to succeed.
Benefits
If you’re looking for a job with great benefits, Harris is the place to be! Harris offers an extremely competitive employee benefits program in the UK. In addition to the standard 25 days of leave and bank holidays, Harris employees are granted 5 Personal Days on top of that. Harris also offers an annual Lifestyle Reward of £325 to all UK employees. The program also includes Group Personal Pension, Life Assurance, Private Medical, and Dental. With Harris, you’ll have access to a wide range of benefits that will make your work life more enjoyable and fulfilling.
Supporting your application
Our recruitment process will comprise of interviews and, at times, a written exercise, an assessment day and/or a presentation. As an equal opportunities employer, we want to make sure we do all we can to make this a positive experience for you. When applying, please make us aware on your application of any adjustments or additional support we can provide you with before or on the day of an interview.

• Collaborate with cross-functional teams to understand business objectives and formulate data-driven solutions.
• Clean, preprocess, and analyze large datasets to uncover meaningful patterns, trends, and insights.
• Develop and implement machine learning models for predictive and prescriptive analysis.
• Conduct exploratory data analysis to generate hypotheses and guide further research.
• Stay updated with the latest advancements in data science and machine learning, and apply relevant techniques to solve real-world problems.
• Communicate findings and results effectively to both technical and non-technical stakeholders through visualizations, reports, and presentations.
• Collaborate with data engineers to ensure data availability, quality, and reliability for analysis.
• Participate in the development of data-driven products and solutions from conception to deployment