At a Glance
- Tasks: Analyse complex data to drive decision-making and support national security missions.
- Company: Clarity Innovations, a leader in national security solutions.
- Benefits: Competitive salary, professional growth, and a supportive team environment.
- Other info: Join a dynamic team at RAF Mildenhall and grow your career in a mission-driven environment.
- Why this job: Make a real impact on national security while working with cutting-edge technology.
- Qualifications: 1+ years of Data Science experience and a STEM degree required.
The predicted salary is between 50000 - 70000 £ per year.
Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation’s interests and delivering innovative solutions that empower the Intelligence Community (IC) and Department of Defense (Do D) to transform data into actionable intelligence, ensuring mission success in an evolving world.
Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure Dev Sec Ops practices.
We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact.
We are committed to delivering cutting-edge tools and capabilities that address the most complex national security challenges, empowering our partners to stay ahead of emerging threats and ensuring the success of their critical missions.
At Clarity, we are people-focused and set on being a destination employer for top talent, offering an environment where innovation thrives, careers grow, and individuals are valued.
Join us as we continue to lead innovation and tackle the most pressing challenges in national security.
Role
This role is for a Data Scientist on a close-knit team supporting Air Force Special Operations Command (AFSOC) at RAF Mildenhall, UK.
This team is at the center of helping the command empower and leverage its data for more effective analysis and decision making.
As a subject matter expert, the Data Scientist will leverage their experience to gather and derive insights from complex data, assist the command with development initiatives, and facilitate digital transformation efforts.
The work done in this role has a direct impact on mission readiness as the team's efforts go toward making a more resilient and data-driven organization.
Responsibilities
A Data Scientist will have skills sets of both data analysts and data engineers.
Data scientists are responsible for designing, implementing, and maintaining a data pipeline.
In addition, data scientists shall interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions.
They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine learning.
Data scientists must have a combination of skills that includes programming, mathematical modeling, statistics, and domain knowledge.
They must combine an advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a form useful to the organization.
They must also be able to understand and manipulate structured and unstructured large data sets, which requires proficiency in distributed SQL programming, relational and non-relational data queries, general programming languages (such as Python and R,) and machine learning techniques.
- Key Tasks
- Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.
- Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
- Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
- Coordinate with Data Engineers to build Data environments providing data identified by other data professionals.
- Apply and develop scientific methodology, statistics, and algorithms to discover and frame relevant problems, hypotheses, and opportunities.
- Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques.
- Design and automate processes to facilitate the manipulation and analysis of data.
Manage and integrate data across dissimilar data sets.
Analyze large-scale structured and unstructured data.
- Use frameworks such as Spark and Hadoop to conduct large-scale data processing.
Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny.
- Research, design, and implement algorithms to solve complex problems. Program using R, Python (Num Py, Sci Py, Pandas) or similar analytical languages.
- Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.
- Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling.
Requirements
- A minimum of 1 year of hands-on Data Science experience is required.
- Bachelor's Degree in a STEM field is required.
- Proficient with one or more programming languages (Java, C++, Python, R, etc.)
- Demonstrated ability to apply data science to solve real-world problems
- Preferred Qualifications
- Familiarity with Do D
- Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.
- Familiarity with Envision
- Top Secret clearance with SCI eligibility
We are an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
#J-18808-Ljbffr
Data Scientist in England employer: Clarity Innovations
Clarity Innovations is an exceptional employer, particularly for those passionate about data science and national security. Located at RAF Mildenhall, UK, we foster a collaborative work culture that prioritises innovation and personal growth, offering employees the chance to make a significant impact on mission readiness while developing their skills in a supportive environment. With a commitment to cutting-edge technology and a focus on employee well-being, we provide unique opportunities for career advancement and meaningful contributions to the Intelligence Community and Department of Defense.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in England
✨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 Clarity Innovations!
✨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 Scientist at Clarity Innovations.
✨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 Clarity Innovations.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Clarity Innovations, 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 Scientist in England
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 Clarity Innovations, 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 Clarity Innovations. 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 Clarity Innovations
✨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 Clarity Innovations!
✨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.
