eDV Data Scientist in London

eDV Data Scientist in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and scale impactful AI solutions while collaborating with clients on innovative projects.
  • Company: Join a global leader in technology and consulting, driving digital evolution.
  • Benefits: Competitive salary, 15% clearance bonus, and excellent career progression opportunities.
  • Other info: Opportunities to publish research and represent the company at conferences.
  • Why this job: Make a real impact in AI and data science within an inclusive and diverse environment.
  • Qualifications: Proficient in machine learning, GenAI, and strong communication skills.

The predicted salary is between 60000 - 80000 £ per year.

Must have active enhanced DV Clearance Junior to Lead levels available £45k to £95k Do E plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, Gen AI, NLP, Customer Engagement/Consultancy Who are we?

We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects.

Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms.

You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture.

What will the Data Scientist be doing?

Our client is seeking individuals with strong technical expertise in machine learning, Gen AI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions.

This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery.

There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment.

Key Skills and Requirements Proficient in AI techniques including machine learning, Gen AI, NLP, deep learning, graph analytics, and time series analysis.

Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes.

Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors.

Skilled in data science platforms (e. g.

Databricks, Azure ML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform.

Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools.

To be

Considered: Please either apply by clicking online or emailing me directly at .

  • For further information please call me on or
  • I can make myself available outside of normal working hours to suit from 7 am until 10 pm.

If unavailable, please leave a message and either myself or one of my colleagues will respond.

By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only.

Also feel free to connect with me on Linked In, just search for Henry Clay-Davies.

I look forward to hearing from you.

KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / Gen AI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning

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eDV Data Scientist in London employer: NSD

Join our dynamic technology team in Gloucester, where we foster a collaborative and supportive engineering culture. We prioritise ongoing training and professional development, ensuring that our employees grow alongside the company while working on meaningful projects with modern technologies. With a competitive salary and comprehensive benefits package, this role offers an excellent opportunity for those looking to make a significant impact in a secure environment.

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Contact Details:

NSD Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land eDV Data Scientist in London

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 NSD!

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 eDV Data Scientist at NSD.

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 NSD.

Apply Directly through Our Website

When you find a suitable opening like eDV Data Scientist at NSD, 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 eDV Data Scientist in London

Machine Learning
GenAI
Natural Language Processing (NLP)
Deep Learning
Graph Analytics
Time Series Analysis
Solution Architecture

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 NSD, 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 NSD. 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 NSD

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 NSD!

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.