Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist

Nexaphaze Ltd
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Are you a seasoned Data Scientist eager to collaborate with a team of top-tier innovators, tackling diverse products across various industries?

If so, Nexaphaze could be the perfect fit for you.

We’re seeking an experienced Data Scientist to join our team of innovators, working on cutting-edge projects for a diverse range of clients. You’ll collaborate with entrepreneurs and business leaders, helping them harness the power of data to drive business decisions, from early-stage MVPs to large-scale AI-powered products.

At Nexaphaze, you’ll be part of a cross-functional team with expertise in areas like fintech, AI, IoT, and more, solving complex problems and delivering meaningful insights.

What You’ll Be Doing:

As a Data Scientist, your responsibilities will include:

  • Collecting, analyzing, and interpreting large datasets to solve business challenges.
  • Building predictive models and machine learning algorithms to inform product and business decisions.
  • Collaborating with developers, engineers, and product teams to integrate data-driven solutions.
  • Conducting exploratory data analysis and creating dashboards to visualize insights.
  • Developing automated tools to process and analyze data at scale.

The Hands-On Experience You’ll Need:

  • 2+ years of experience working in data science or a related field.
  • Proficiency in programming languages like Python, R, or SQL for data manipulation.
  • Experience building machine learning models using libraries like TensorFlow, PyTorch, or scikit-learn.
  • Familiarity with cloud platforms like AWS, GCP, or Azure.
  • Strong written and spoken English skills.

Bonus Experience:

  • Experience with big data tools (e.g., Hadoop, Spark) and distributed computing.
  • Knowledge of NLP techniques and libraries.
  • Familiarity with Docker, Kubernetes, and deploying machine learning models in production.
  • Experience with visualization tools like Tableau, Power BI, or D3.js.
  • Understanding of A/B testing, statistical analysis, and experimental design.

What You Can Expect from Our Recruitment Process:

  • We’ll start by reviewing your CV.
  • A one-hour interview with our recruitment team to get to know you better.
  • A one-and-a-half-hour technical interview to assess your skills.
  • A final one-hour interview to ensure we’re a mutual fit.
  • If you’re the right candidate, we’ll share the next steps to joining the Nexaphaze team.

What You Can Expect from Working with Us:

  • Competitive salary aligned with your experience.
  • Health insurance for you and your family.
  • Eligibility to work in London is required.
  • Flexible working hours and a remote-first policy, though we encourage you to join us at our pet-friendly office in London.
  • Team events, including weekly yoga sessions, summer surf days, Christmas dinners, and more.

Career Growth with Nexaphaze:

  • A clear career plan with strong growth potential.
  • A training budget to help you achieve your professional goals.
  • The chance to work on global projects with industry-leading clients.
  • A team of top talent innovators and researchers at your side.

If this opportunity excites you as much as it excites us, apply now to become part of the Nexaphaze team!


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.