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

View Open Roles

Data Science Associate

Metyis
London
1 month 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. Our long-term partnership model aims to create lasting impact and growth for our business partners and clients through extensive execution capabilities.


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


We are Metyis. Partners for Impact.

We are seeking a Data professional to join our Data Science team. As a Data Science Associate, your role will be to help transform our clients' businesses into more data-driven entities, where data is used to drive action across all teams daily.


What we offer


  • Regular interaction with clients to drive impactful business changes.
  • Work within multidisciplinary teams and learn from motivated colleagues.
  • Opportunities to take responsibility for your work, develop your skills daily, and own your career.
  • Be part of a fast-growing, international, and diverse team.


What You Will Do


  • Perform data analysis in Growth Revenue Management, Marketing Analytics, CLM/CRM Analytics, and/or Risk Analytics.
  • Conduct analyses using tools such as SAS, SPSS, Eviews, R, Python, SQL, Teradata, Hadoop, Access, and Excel.
  • Communicate analyses through compelling presentations.
  • Solve problems, disaggregate issues, develop hypotheses, and generate actionable recommendations.
  • Prepare and facilitate workshops.
  • Manage stakeholders and communicate with executives.
  • Coach and mentor team members.


What you'll bring


  • 3-5 years of professional experience in analytics.
  • An advanced degree in a quantitative field such as mathematics or computer science.
  • Strong analytical thinking, problem decomposition, hypothesis development, and data-driven recommendations.
  • Technical expertise in data analysis, statistics, and programming, including Python, Hadoop, SQL, and R.
  • Knowledge of Python data tools like Jupyter, Pandas, Scikit-Learn, and Matplotlib.
  • Ability to communicate effectively in English.


At Metyis, diversity and inclusion are core values. We welcome talents of all backgrounds, regardless of gender, age, origin, sexual orientation, or disability, recognizing each individual's unique experience and identity.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Science Associate

Post-Doctoral Data Science Research Associate

Research Associate (Data Science) (Fixed Term)

Research Associate (data science/rangelands)

Data Scientist

Senior Data Scientist

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 Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

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

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.