Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Science Lead

Metyis AG
London
2 weeks ago
Create job alert

Metyis is growing! We are looking for a Data Science Lead with 5-7 years of experience to join our Data and Analytics team in London.


Who we are

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.

With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

What we offer

  • Interact with our clients on regular basis, to drive their business towards impactful change.

  • Work in multidisciplinary teams and learn from motivated colleagues.

  • A chance to take responsibility for your work, develop yourself every day and take full ownership of your career.

  • Become part of a fast growing international and diverse team.

What You Will Do

  • Manage client interactions and play a key role in building and maintaining client relationships.

  • Apply knowledge of data science concepts to translate business problems to analytics solutions with clear output and with foreseen impactful outcomes.

  • Lead the design, development, and deployment of scalable machine learning models, ensuring integration into production with ongoing performance monitoring.

  • Provide project management oversight required to meet client expectations.

  • Responsibilities may include the development of presentations and managing of external relationships.

  • Seek compelling opportunities beyond the scope of the current project.

  • Provide guidance to more junior members of the team, while orchestrating the work of the entire team.

  • Good to have experience applying GenAI techniques like prompt engineering, RAG, or LLM fine-tuning to solve business problems.

What You’ll Bring

  • 5-7 years of consulting experience or relevant industry experience, with at least 1+ years at a project lead level.

  • Master (or Ph.D.) degree in a quantitative field with a focus on data analysis (e.g. econometrics, AI, mathematics, physics, and other exact sciences).

  • Sharp thinking ability to be able to quickly differentiate major contributors from irrelevant details and to hierarchically structure information residing in the data under analysis.

  • Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (Python), and from data visualization (e.g. Tableau, PowerBI) to machine learning and cloud experience (Azure, AWS or GCP). Understanding data engineering solutions is a plus.

  • Proven ability to manage projects with expert team members and to provide inspiring guidance to juniors in the team.

  • Excellent communication skills, especially to explain complex analytical concepts in non-technical terms to business users.

  • Professional fluency in English.

In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Science Lead

Data Science Lead

Data Science Lead

Data Science Lead

Data Science Lead

Data Science Lead

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.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.