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

Apply Now

Data Science Associate

Metyis AG
City of London
4 days ago
Create job alert

Metyis is growing! We are looking for a Data Science Associate with 3-4 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.

We are looking for a Data professional to join our Data Science team. As a Data Science Associate, you are responsible for turning our clients’ business a more data-driven one, where data is used to drive action in every team, every day.

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

  • Perform data analysis in the field of Growth Revenue Management, Marketing Analytics, CLM/CRM Analytics and/or Risk Analytics.

  • Conduct analyses in typical analytical tools ranging from SAS, SPSS, Eviews, R, Python, SQL, Teradata, Hadoop, Access, Excel, etc.

  • Communicate analyses via compelling presentations.

  • Solve problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data and analysis.

  • Prepare and facilitating workshops.

  • Manage stakeholders and communicating with executives.

  • Coach and mentor team members.

What you'll bring

  • 3-5 years of professional work experience in the analytics domain.

  • An advanced degree in a quantitative field (e.g. mathematics, computer programming, etc.).

  • An ability to think analytically, decompose problem sets, develop hypotheses and recommendations from data analysis.

  • Strong technical skills regarding data analysis, statistics, and programming. Strong working knowledge of, Python, Hadoop, SQL, and/or R.

  • Working knowledge of Python data tools (e.g. Jupyter, Pandas, Scikit-Learn, Matplotlib).

  • Ability to talk the language of statistics, finance, and economics a plus.

  • Profound knowledge of the English language.

At Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Science Associate

Data Science Senior Associate - LLM/NLQ - Asset Management Data Analytics

Head of Data Science (Insurance)

Research Associate in Data Science and Artificial Intelligence

Associate Director Data Science

Associate Director Real World Data Science

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.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

Jobs

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Jobs

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.