Data Scientist

Sneak Peek Tech
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist/Machine Learning Engineer - RNA Design

Data Scientist - active NPPV3 required

Data Scientist - London

We are looking for a junior or medior data science engineer to complement our data science team working with many of our industrial customers from various sectors, including (petro-) chemical, paper and pulp, automotive, metallurgy, telecom and food-and beverage.
You will use various ML / AI / data science libraries and work on a variety of applications.
You will get to use various state of the art technologies including Elastic, Kafka, Kubernetes and Luigi.
Finally, you will have the opportunity to look behind the scenes of many domains and data.

What are your responsibilities?

You will typically work together with a more senior member of the team on projects and your day job typically consists of:

  • Help build and improve the algorithms in a scalable manner for AI-based anomaly detection and predictive modelling.
  • Apply and sometimes (co-)invent and implement AI/ML algorithms for processing various types of data (timeseries, tabular, etc.).
  • Develop computer models and perform predictive and prescriptive analytics for various applications.
  • Build Proof of Concepts in notebooks, integrate these algorithms into the operational flow of the customer, train the users, and provide support.
  • Interface with various data sources over various connector pipelines (SQL, Elasticsearch, Kafka, REST APIs, etc.).
  • Tune algorithms and data pipelines for optimal performance.
  • Train, tune, and deploy anomaly detection and predictive models on industrial or IoT data.
  • Knack/experience in consultancy services.

Qualifications:

  • Previous hands-on experience in Data Science, delivering machine learning models to production.
  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or Engineering – or equivalent.
  • Proficiency in Python and relevant data science libraries (NumPy, pandas, scikit-learn, etc.).
  • Experience with SQL, Power BI, Git & GitHub.
  • Strong knowledge of Machine Learning Algorithms and respective theory.
  • Ability to work within a team, collaborating effectively with colleagues.
  • Strong stakeholder management skills and the ability to influence.
  • A drive to learn new technologies and techniques.
  • Experience/aptitude towards research and openness to learn new technologies.
  • Experience with Azure, Spark (PySpark), and Kubeflow - desirable.

We pay competitive salaries based on experience of the candidates. Along with this, you will be entitled to an award-winning range of benefits including:

  • Access to our company car scheme or car allowance.
  • Free confidential 24/7 GP service.
  • Hundreds of discounts (including retail, childcare + gym).
  • Affordable loans & enhanced pension scheme.

#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.

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.

AI Training Jobs: Your Comprehensive Guide to Launching a High-Potential Career

Artificial Intelligence (AI) has evolved from a futuristic concept to a core component of modern business strategy. As organisations increasingly embrace AI-driven systems to stay competitive, the demand for qualified professionals who can develop, implement, and train AI models has skyrocketed. In the UK—and indeed worldwide—there is a pressing need for skilled experts who understand the nuances of AI, from algorithm design to ethical considerations. For anyone seeking to enter this exciting field or pivot into a role focusing on AI training, the opportunities are abundant. This in-depth blog post will explore everything you need to know about AI training jobs, the essential skills you’ll need, the current employment landscape in the UK, and how to future-proof your career in AI.

Rural-Remote AI Jobs: A Breath of Fresh Air in the UK Tech Scene

A New Horizon for AI Professionals For years, conversations around tech careers in the UK have hinged on a central theme: to succeed in artificial intelligence (AI), you must be in or around London (or other big metropolitan areas like Manchester, Bristol, or Edinburgh). But times are changing. Technological leaps and the rise of flexible working are paving the way for AI professionals to live and work well beyond the capital. From the rugged coastlines of Cornwall and Pembrokeshire to the rolling hills of the Yorkshire Dales, we’re witnessing an exciting trend of AI remote countryside roles that allow you to work at the forefront of tech innovation—all while enjoying the tranquillity of rural or seaside living. At ArtificialIntelligenceJobs.co.uk, we’re seeing a marked increase in job postings and applications for these sorts of positions. A growing segment of job seekers is actively searching for “tech jobs by the sea” or “AI remote countryside,” driven by a desire for better work-life balance, lower living costs, and a healthier lifestyle. And it’s not just employees who stand to benefit; employers eager to attract top-tier AI talent are discovering that offering remote or flexible roles widens their candidate pool and enhances diversity. If you’re enticed by the idea of logging off from a day of coding neural networks and taking a stroll along a coastal path—or stepping outside your converted barn in Northumberland to soak in some fresh country air—this article is for you. Below, we’ll explore the benefits and challenges of rural-remote AI jobs, the specific roles best suited for remote work, and how to position yourself for success in this rapidly evolving sector.