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

View Open Roles

Data Scientist

GradBay
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

The Business:

This is not just another data consultancy—we're a team of curious minds using AI and statistical modelling to help organisations solve real-world problems and make smarter, faster decisions. Whether it’s uncovering insights from vast datasets or building predictive tools to shape future strategies, we believe data science should make a difference—a significant one.

With clients spanning sectors from finance to media, we work on projects that matter. We’re growing fast and now looking for a Data Science Graduate to join us on our journey.


The Job:

We are hiring aData Science Graduateto join our growing team and support the increasing demand for our analytical services.


As aData Science Graduateyou’ll:

  • Support the delivery ofquantitative researchandstatistical analysisprojects
  • Learn and apply techniques such asconjoint analysis,MaxDiff,segmentation, andkey drivers analysis
  • Work alongside experienced data scientists and gradually take on more responsibility
  • Deliver smaller projects independently and contribute to larger projects as part of a team
  • Receive on-the-job training to build your technical and analytical skills


This is an ideal opportunity for someone looking to grow a career indata science within market research, with exposure to a wide range of clients and methodologies.


Candidate Requirements:

We’re looking for a numerate, motivated individual — ideally a recent graduate or someone with up to 2 years of experience indata scienceorquantitative market research.


You should:

  • Be comfortable using and interpreting data to draw insights
  • Have a basic understanding of key statistical techniques such as:
  • Conjoint analysis
  • MaxDiff
  • Segmentation
  • Linear or logistic regression
  • Significance testing
  • Be confident usingExcel,PowerPoint, andWord
  • Be open to learning tools such as:
  • SPSS,Q,Sawtooth,Displayr,Crunch.io(experience with any of these is a bonus)
  • Be highly organised with strong attention to detail
  • Have the ability to manage multiple tasks in a fast-paced environment
  • Be a clear communicator and a collaborative team player
  • Show initiative and a can-do attitude
  • Be committed to delivering excellent results for clients


Experience managing or contributing toquantitative market research projectsis a plus — but not essential. We care more about your potential and attitude than a perfect CV.

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

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Jobs

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.

Careers

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.

🍪 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.