AI Data Scientist

Rein Ton
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist - Remote

Principal Data Scientist - Generative AI

Lead Data Scientist

Senior Data Scientist (Engineering Focus)

Data Scientist

Data Scientist

Join to apply for theAI Data Scientistrole atRein-Ton

Why SoftwareOne?

Here at SoftwareOne, we give you the flexibility to unleash your creativity, without limits. We encourage autonomy and thinking outside the box - and we can't wait to hear your new ideas. Our people are our greatest asset, and we'll go the extra mile to ensure you're happy here. We want our people to be their true authentic selves at all times, because that's when real creativity happens.

Accommodations

SoftwareOne welcomes applicants from all backgrounds and abilities to apply. If you require reasonable adjustments at any point during the recruitment process, email us at [email]. Please include the role for which you are applying and your country location. We will make every effort to accommodate you.

The role

AI Team Overview

We are leaders in technological advancements, using AI to create groundbreaking products and solutions. Our AI Team is committed to exploring AI and machine learning's full potential.

Job Summary

As a Data Engineer on our AI Team, you will craft the foundation of our AI models and algorithms. You will build and maintain reliable data pipelines, ensuring data availability, integrity, and quality for our AI projects. Your work will directly influence our AI initiatives, contributing to innovative solutions for complex problems.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using Databricks and Azure services.
  • Perform feature set engineering, report preparations, and ML tasks.
  • Work with data scientists, ML engineers, and collaborators to deliver high-quality data solutions.
  • Collaborate with the Data & Analytics Team on data infrastructure and ingestion.
  • Discuss data inputs with Business Development and collaborators, advising on data integration.
  • Ensure data accuracy and consistency across sources and systems.
  • Optimize data workflows for performance and efficiency.
  • Implement best practices for data security and privacy.
  • Monitor and troubleshoot data pipelines to resolve issues promptly.
  • Stay updated with trends in data engineering, AI, and related technologies.
  • Document data processes and standards for repeatability and compliance.
  • Test, validate, and verify solutions to ensure quality.

What We Need to See from YouQualifications

  • Proven experience as a Data Engineer with a strong background in data pipelines.
  • Proficiency in Python, Java, or Scala, and big data technologies (e.g., Hadoop, Spark, Kafka).
  • Experience with Databricks, Azure AI Services, and cloud platforms (AWS, Google Cloud, Azure).
  • Solid understanding of SQL and NoSQL databases.
  • Strong problem-solving skills and ability to work in a fast-paced environment.
  • Excellent communication and teamwork skills.

Preferred Skills

  • Experience with data visualization tools and techniques.
  • Knowledge of machine learning frameworks and libraries.
  • Understanding of data warehousing concepts and technologies.
  • Experience with data governance and data quality management.
  • Certification in data engineering or related fields.

Benefits of Working at SoftwareOne

At SoftwareOne, we are committed to creating a supportive and enriching work environment that empowers our employees to thrive both professionally and personally. Here are some of the benefits you can enjoy as part of our team:

  • Work-Life-Harmony: Hybrid work model makes it possible to reconcile work and private life. We provide extra vacation day every month plus educational vacation days and additional long service recognition vacation days.
  • Career: Through regular feedback meetings, we make performance, talent and perspective visible. Personal career paths are then also based on this, which are made transparent and openly discussed.
  • Competencies and know-how: Our focus is on building and maintaining competencies. That's why we are open to your interest in further education.
  • Family and career: We all have different private backgrounds, and no one should have to bend over backwards.
  • President's Club: We reward exceptional performance through our global high-potential incentive.

How To Apply

If you're excited about this opportunity, please click the 'apply' button and upload your documents. We look forward to receiving your application!

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

AI Summit London 2025: A Complete Guide for UK AI Engineers & Recruiters

Artificial intelligence may be a border-less technology, but every ecosystem needs a beating heart where the community meets face-to-face. For the British Isles that heart is The AI Summit London, the headline AI event of London Tech Week, returning to Tobacco Dock on 11–12 June 2025. With eight content stages, 4 500+ attendees and 300 speakers spanning government, FTSE-100 giants and rocket-ship start-ups, the Summit offers a year’s worth of insight, deal-making and career acceleration in just 48 hours. Whether you are an AI engineer optimising vector databases, a data scientist pivoting into prompt ops, or a hiring manager scouring the market for talent, this handbook distils everything you need to hit the ground running—from ticket tactics and agenda highlights to networking hacks and post-event ROI.

AI Engineer World’s Fair 2025: The Complete UK Guide to June’s Unmissable AI Engineering Event

If 2024 was the year every product team rushed to bolt an LLM onto their roadmap, 2025 is when the craft of AI engineering finally takes centre stage. From rapid-fire prompt iterations to robust eval pipelines, the discipline now demands the same rigour we once reserved for cloud infra or mobile apps. That is precisely why the AI Engineer World’s Fair, 3–5 June 2025 in San Francisco, matters more than any keynote or press release: it is the one place where the movers, makers and maintainers of production-grade AI swap battle-tested patterns in person. For UK technologists—and the recruiters who hire them—the Fair offers a rare chance to compress a year’s worth of learning, networking and tooling discovery into three intense days. Whether you are scaling RAG systems on Azure, bootstrapping an agentic start-up from your kitchen table, or simply hunting for your first AI engineer job, the sessions, workshops and hallway conversations can tilt your career trajectory. The guide that follows distils everything you need to know—programme highlights, travel hacks, ticket tips and post-event ROI—so you can decide if a flight across the Atlantic (or a virtual pass) is the smartest investment you’ll make this year.

How to Advertise AI Jobs and List AI Vacancies: Advanced Recruitment Strategies for 2025

In a landscape where artificial intelligence (AI) is rapidly transforming industries—from healthcare and finance to manufacturing and creative fields—employers are in stiff competition to secure the best AI talent. Whether you’re a start-up looking for your first machine learning engineer or a global enterprise planning an AI research lab, knowing how to advertise AI jobs effectively has never been more critical. Below, you’ll find in-depth strategies for crafting compelling AI job adverts, optimising your recruitment funnel, and showcasing your organisation as an employer of choice for top AI specialists. We’ll also explore the importance of salary transparency, the best channels for promoting your AI vacancies, and advanced techniques for nurturing a culture of innovation.