Senior Data Scientists/Data Engineers Needed (multiple Roles) - DV/SC Cleared

Senior Data Scientists/Data Engineers Needed (multiple Roles) - DV/SC Cleared

Full-Time 60750 - 74250 £ / year (est.) On-site
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At a Glance

  • Tasks: Lead high-profile Defence and Government projects using your data science skills.
  • Company: Join a dynamic, Series A funded tech start-up in London.
  • Benefits: Competitive salary, exciting projects, and a chance to make a real impact.
  • Other info: Must have DV or SC clearance; excellent career growth opportunities await.
  • Why this job: Work on innovative solutions in a close-knit team and tackle real-world challenges.
  • Qualifications: Experience in data science/engineering, Python, and ML model deployment required.

The predicted salary is between 60750 - 74250 £ per year.

Areti is seeking Senior Data Scientists/Data Engineers (Palantir, Python, Data Science) to work for a series A funded tech start-up business based in the London area with a very quick start. YOU MUST BE DV OR SC CLEARED.

You will be working on a number of large Defence and Government projects and be given the opportunity to lead a number of high-profile programmes. The Data Scientists will apply their technical skillsets and knowledge to solve exciting real-world problems in a small and dynamic company. You will work as part of a dynamic and close-knit team building new and proprietary approaches to solving multiple problems across the industry.

The ideal candidates will have a skillset to include the following:

  • Experience in working as a Data Scientist/Data Engineer
  • An understanding of Palantir would be a huge +
  • Experience of completing projects to deadline
  • Experience in Deep Learning and DL frameworks such as Tensorflow/PyTorch
  • Deploying ML models
  • Good command of Python and use of libraries for data science – scikit-learn, NumPy, matplotlib
  • Relational database experience with data manipulation skills in SQL and large “Big Data” environments
  • Command knowledge in Python and API Development
  • Excellent grasp of software engineering practices – Object Oriented Programming, GIT, AWS, CI/CD practices
  • NoSQL Databases

Candidates must have security clearance - Ideally DV.

My client has just received a huge investment and is now in the position where they are looking to scale and expand their Data team. My client is interviewing this week so get in contact today to avoid disappointment.

Senior Data Scientists/Data Engineers Needed (multiple Roles) - DV/SC Cleared employer: Areti Group | B Corp

ARETI is an exceptional employer that fosters a high-performance culture where innovation thrives. With a focus on employee growth, you will have the opportunity to mentor teams and influence key architectural decisions while working in the vibrant heart of Central London. The competitive salary and equity package, combined with a collaborative environment, make ARETI a rewarding place for Senior Software Engineers looking to make a significant impact.

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Contact Details:

Areti Group | B Corp Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Scientists/Data Engineers Needed (multiple Roles) - DV/SC Cleared

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We think you need these skills to ace Senior Data Scientists/Data Engineers Needed (multiple Roles) - DV/SC Cleared

Data Science
Data Engineering
Palantir
Python
Deep Learning
TensorFlow
PyTorch

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 Areti Group | B Corp, 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 Areti Group | B Corp. 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 Areti Group | B Corp

✨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 Areti Group | B Corp!

✨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.