At a Glance
- Tasks: Research and develop intelligence products to combat complex criminal activity.
- Company: Join a dynamic team focused on enhancing public safety and compliance.
- Benefits: Gain valuable experience, professional development, and work in a secure environment.
- Other info: Flexible shift patterns with opportunities for career growth and accreditation.
- Why this job: Make a real difference by tackling crime and supporting community safety.
- Qualifications: Knowledge of intelligence systems, strong communication skills, and initiative.
The predicted salary is between 29700 - 36300 £ per year.
No job The client provides the single point of entry and first point of contact for internal and external partners.
The team provides oversight and management of sensitive intelligence functions, maximising our capability to act more effectively in support of tactical and strategic priorities.
It allows us to minimise threat, risk and harm and ensures our compliance with legislation.
A critical function is to scope, develop and utilise intelligence in direct response to complex criminal activity.
Specific role responsibilities Research, evaluate, develop and enhance scoping products which have been written based around operational priorities for the department Gather and de-conflict intelligence from a variety of sources, producing comprehensive Intelligence Assessments which are used to inform the Tasking process Identify intelligence gaps and set intelligence requirements Work as part of a flexible and professional workforce within a secure environment Manage information that is available to ensure that it is up to date and accurate Utilise Open Source capabilities in order to enhance intelligence products Apply for and handle covertly obtained material in accordance with identified policy and process Preparation and maintenance of both RIPA and IPA applications Review of covertly obtained material Ability to work with a number of partner agencies, key stakeholders and sensitive equities in order to establish efficient working relationships A high degree of computer literacy; utilising a variety of computer systems and applications from across the Regions varying platforms, as well as digital data, applications and tools Utilise good communication skills in order to work effectively as part of a team, providing an excellent intelligence response Work towards and support the Intelligence Professionalisation programme.
Gain accreditation by completing the national occupational standards (NOS) for the role and inclusion on the National Intelligence Register.
Support the wider department with the on-call function Essential qualities for the role Knowledge of intelligence systems and processes.
Working knowledge of RIPA 2000 Effective interpersonal and communication skills.
Sensitivity to the needs of diverse communities served by the team Initiative and innovation when developing intelligence products Knowledge of covert policing techniques.
Potential to undertake sensitive enquiries with limited supervision and therefore maintain the highest levels of integrity, and professionalism.
Knowledge of the National Intelligence Model (NIM) and NPCC Guidance on the Management of Police Information (MOPI).
Knowledge of police systems and policing; current legislation, policies and procedures (e. g.
GDPR, Human Rights Act, CPIA).
Work effectively with minimum supervision whilst remaining team focused.
Ability to work under pressure, prioritise workloads and produce accurate work within deadlines.
Able to evidence self-motivation and use of own initiative.
Excellent time management skills and a good co-ordinator.
You will work on a shift pattern which encompasses cover between 0700 - 1600 and weekends with a level of flexibility incorporated.
There is a requirement to work flexibly at times description added
Data and Risk Intelligence Officer employer: Data Careers
Join a dynamic and innovative IT consultancy in Northfleet, where collaboration and inclusivity are at the heart of our work culture. We offer competitive salaries, bonuses, and a flexible working arrangement that allows you to balance office and home life effectively. With a strong focus on employee growth and development, we provide ample opportunities for you to advance your career while making a meaningful impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data and Risk Intelligence Officer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Data Careers!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data and Risk Intelligence Officer at Data Careers.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Data Careers.
✨Apply Directly through Our Website
When you find a suitable opening like Data and Risk Intelligence Officer at Data Careers, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data and Risk Intelligence Officer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Data Careers, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Data Careers. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Data Careers
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Data Careers!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
