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

Apply Now

Senior Data Scientist

Portare Solutions
London
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.

  • Senior Data Scientist (Onsite)
  • Data Science • Leading Tech Company • South West London
  • Onsite (5 days)
  • Salary - £70,000 - £90,000, plus benefits

Are you a passionate and talented Data Scientist eager to tackle complex challenges and contribute to a data-driven revolution? Our client, a leading technology company transforming the e-commerce landscape, is searching for a skilled Senior Data Scientist to join their expanding team. This is an exciting opportunity to apply your expertise and contribute to impactful projects within a dynamic and innovative environment.

About the role:

As a Senior Data Scientist, you will play a crucial role in extracting valuable insights from vast datasets, developing predictive models, and contributing to data-driven solutions that enhance business operations and customer experiences. You will collaborate closely with fellow data scientists, engineers, and business stakeholders to deliver impactful outcomes.

What you'll be doing:

  • Data Analysis and Modelling:
    • Analyse complex datasets to identify patterns, trends, and anomalies.
    • Develop and implement machine learning models to address business challenges and improve decision-making.
    • Evaluate and optimise model performance, ensuring accuracy and reliability.
  • Collaboration and Communication:
    • Work effectively within a cross-functional team, collaborating with engineers, product managers, and business analysts.
    • Communicate technical findings and insights to both technical and non-technical audiences.
  • Project Contribution:
    • Contribute to key data science initiatives, including supply chain optimisation, delivery time prediction, recommendation engine development, and customer segmentation.
    • Participate in all stages of the project lifecycle, from data exploration and model development to deployment and monitoring.

What you'll bring:

  • Solid experience in a data science role, preferably within a fast-paced e-commerce, logistics, or related industry.
  • Strong understanding of machine learning algorithms, statistical modelling, and data visualisation techniques.
  • Proficiency in programming languages such as Python or R.
  • Experience with data manipulation and analysis tools.
  • Excellent communication and collaboration skills.

#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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.