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- Tasks: Develop innovative data solutions for National Security clients using cutting-edge technology.
- Company: Join a leading tech consultancy with 50+ years of expertise in data science and AI.
- Benefits: Enjoy hybrid working, competitive salary, bonuses, and a supportive work environment.
- Why this job: Be part of mission-critical projects that make a real impact in national security.
- Qualifications: Experience with Python, machine learning, and large data processing is essential.
- Other info: DV clearance is required; apply now to be part of an innovative team!
The predicted salary is between 32000 - 68000 £ per year.
DATA SCIENCE ENGINEER – DV CLEARED NEW PERMANENT OPPORTUNITY AVAILABLE FOR A DATA SCIENCE ENGINEER IN MANCHESTER Central Manchester Location with hybrid working options Close proximity to multiple tram stops and nearby train station £40,000 to £85,000 plus clearance bonus, performance bonus and benefits WHO WE ARE? We are recruiting for a leading technology and engineering consultancy known for delivering cutting-edge technical solutions to National Security and Defence clients. With over 50 years of expertise and heritage, they are at the forefront of innovation in data science, AI, and machine learning. Due to ongoing growth and over 8 years of secured work, they are looking for a talented Data Science Engineer to join their team and work on mission-critical data services. WHAT WILL THE DATA SCIENCE ENGINEER BE DOING? As a Data Science Engineer, you will be responsible for developing a range of technical solutions focused on data services for National Security customers. You will work and innovate from low TRL R&D projects and facilitate the scaling to huge datasets. The work will involve a range of data science work to enable customers make mission critical analysis and decisions. THE DATA SCIENCE ENGINEER SHOULD HAVE…. Experience with Python and / or Python frameworks Machine Learning , Deep Learning or NLP Data Analytics and data visualisation Large data processing using Apache NiFi, Spark, Kafka, Hadoop or Accumulo DV clearance, we can’t accept applications without DV clearance at this time IT WOULD BE NICE FOR THE DATA SCIENCE ENGINEER TO HAVE…. AWS experience or cloud-based data science solutions MLops or DataOps Contanerisation using Docker or Kubernetes Agile methodologies An great attitude towards new and innovative ways to utilise technology TO BE CONSIDERED…. Please either apply by clicking online or emailing me directly at will.roebuck@searchability.com For further information, call me on 01172840050. I am available outside of normal working hours to suit your schedule. By applying for this role, you give express consent for us to process and submit your application to our client for this vacancy only. KEY SKILLS: Data Science Engineer, Machine Learning Engineer, Data Scientist, Senior Data Science Engineer, Senior Machine Learning Engineer
DATA SCIENCE ENGINEER – DV CLEARED employer: Security Cleared Jobs
Contact Detail:
Security Cleared Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DATA SCIENCE ENGINEER – DV CLEARED
✨Tip Number 1
Make sure to highlight your experience with Python and relevant frameworks in your conversations. This is a key requirement for the role, and demonstrating your proficiency can set you apart from other candidates.
✨Tip Number 2
Familiarize yourself with the specific data processing tools mentioned in the job description, such as Apache NiFi, Spark, and Kafka. Being able to discuss your hands-on experience or projects involving these technologies will show your readiness for the role.
✨Tip Number 3
Since this position requires DV clearance, be prepared to discuss your clearance status openly. If you have any relevant experience working in secure environments, make sure to mention it during your discussions.
✨Tip Number 4
Show enthusiasm for innovative technologies and methodologies, especially in the context of data science and machine learning. Employers appreciate candidates who are not only skilled but also passionate about pushing the boundaries of technology.
We think you need these skills to ace DATA SCIENCE ENGINEER – DV CLEARED
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Science Engineer position. Understand the key responsibilities and required skills, especially the importance of DV clearance and experience with Python and machine learning.
Tailor Your CV: Customize your CV to highlight relevant experience in data science, machine learning, and any specific technologies mentioned, such as Apache NiFi or Spark. Emphasize your DV clearance status prominently.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your innovative approach to technology. Mention specific projects or experiences that align with the company's focus on national security and defense.
Double-Check Your Application: Before submitting, review your application for any errors or missing information. Ensure that all documents are correctly formatted and that your contact information is up to date.
How to prepare for a job interview at Security Cleared Jobs
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and relevant frameworks in detail. Highlight specific projects where you've implemented machine learning, deep learning, or NLP techniques, as these are crucial for the role.
✨Demonstrate Problem-Solving Abilities
Expect to face scenario-based questions that assess your analytical thinking and problem-solving skills. Prepare examples of how you've tackled complex data challenges in previous roles, especially in high-stakes environments.
✨Familiarize Yourself with Relevant Tools
Make sure you understand the tools mentioned in the job description, such as Apache NiFi, Spark, Kafka, and Hadoop. Being able to discuss your experience with these technologies will show your readiness for the position.
✨Emphasize Your Adaptability
The company values innovation and new technologies. Be ready to talk about how you've embraced new methodologies, like Agile practices or cloud solutions, and how you can contribute to their mission-critical projects.
