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

Apply Now

Associate Data Scientist

Info Resume Edge
Birmingham
3 days ago
Create job alert
Overview

InfoResumeEdge is the world's first platform offering completely free access to both job seekers and recruiters. By setting up your profile, you unlock global exposure, dramatically increasing your chances of being hired quickly-whether for remote or on-site positions. Start building your professional profile today and connect with leading career opportunities across the globe.


We are seeking a highly analytical and detail-oriented Associate Data Scientist to join our data analytics team. The role involves working on data analysis, machine learning, and data visualization projects to derive actionable insights and support data-driven decision-making. This is an excellent opportunity for individuals passionate about data science and eager to grow in a dynamic, technology-driven environment.


Responsibilities

  • Assist in building and deploying machine learning models and predictive analytics solutions.
  • Perform data cleaning, preprocessing, and exploratory data analysis.
  • Create data visualizations and dashboards to communicate insights effectively.
  • Work with large datasets using Python, R, and SQL.
  • Collaborate with cross-functional teams to identify business problems that can be solved through analytics.
  • Ensure compliance with data governance and privacy standards.

Requirements

  • Bachelor's degree in Data Science, Computer Science, Statistics, or related field.
  • Strong understanding of statistical modeling, data mining, and machine learning algorithms.
  • Experience with data visualization tools such as Tableau or Power BI.
  • Excellent problem-solving and analytical thinking skills.
  • Knowledge of big data technologies is a plus.

Benefits

  • Competitive salary and career development opportunities.
  • Hands-on experience with real-world data science projects.
  • Exposure to cutting-edge AI and machine learning solutions.

"Our platform serves as an information hub for upcoming job opportunities, which are made accessible to various employers for their recruitment needs. Please note that we operate solely as a job listing service and do not offer any employment guarantees or placement assurances."


Nationality
Any


Iqama
Resident


#J-18808-Ljbffr

Related Jobs

View all jobs

Associate Data Scientist

Associate (Data Scientist) - London, Wroclaw

Staff Data Scientist, Associate Director (Manchester)

Staff Data Scientist, Associate Director (Manchester)

Staff Data Scientist, Associate Director (Manchester)

Staff Data Scientist, Associate Director (Manchester)

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.

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.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.