Data Scientist

Searchability NS&D; England; On-site; GBP 45,000 - 95,000; Full time

Job summary

A leading technology consulting firm is seeking Enhanced DV Cleared Data Scientists or AI Engineers in Central London. The role offers positions from junior to lead levels, with competitive salaries ranging from £45k to £95k per annum plus a 15% clearance bonus. Candidates should possess strong skills in machine learning, GenAI, NLP, and effective stakeholder management. Excellent career progression opportunities are available within an inclusive culture.

Qualifications

• Must have active enhanced DV Clearance.
• Proficient in AI techniques including machine learning, GenAI, NLP.
• Experience in stakeholder management and Agile team leadership.

Responsibilities

• Design and scale impactful solutions using AI and data science techniques.
• Work closely with clients to identify challenges and define solutions.
• Lead teams to successful project delivery.

Skills

machine learning

GenAI

NLP

Customer Engagement

Consultancy

data science platforms

cloud services

Docker

Kubernetes

CI / CD tools

Tools

Databricks

AzureML

AWS

Azure

GCP

Terraform

Job description

New Permanent Opportunity for an Enhanced DV Cleared Data Scientist / AI Engineer in Central London.

• Must have active enhanced DV Clearance
• Junior to Lead levels available
• £45k to £95k DoE plus 15% clearance bonus
• Must be willing to be full-time on-site in Central London
• Skills required in machine learning, GenAI, 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, GenAI, 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, GenAI, 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, AzureML) 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 [e-mail]. For further information please call me on 0161 416 6800 or 07719065951 - 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 LinkedIn, 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 / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI / CD / Deep Learning