Data Scientist Graduate (TikTok Shop EMEA DS) - 2026 Start (BS/MS)

Cooper & Hall Limited
London
2 months ago
Applications closed

Related Jobs

View all jobs

Graduate Data Scientist

Machine Learning Engineer (Databricks)

Machine Learning Engineer/Researcher - 2026 Graduate Programme

Graduate Machine Learning Engineer

Machine Learning Engineer/Researcher - 2026 Graduate Programme

Machine Learning Engineer/Researcher - 2026 Graduate Programme

About the Team

The Data Science team is a global, full-stack data team that plays an important role in empowering and driving the growth of TikTok Shop. Through impactful data insights and data products, the team focuses on areas such as metrics development, product, operation, algorithm improvement, data infrastructure, and data product development. The team enables informed decision-making and helps optimize the performance and effectiveness of TikTok Shop.

Graduate Opportunity

We are looking for talented individuals to join our team in 2026. As a graduate, you will have opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by the end of 2026. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit applies to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis.

Responsibilities

  • Collaborate with Business Operations, Product, Algorithms, Strategy, and Engineering teams to build data solutions for critical business problems, and identify new opportunities for growth.
  • Conduct insightful analyses to drive business impact. Analyze data for trends and patterns, and interpret results with clear objectives in mind.
  • Serve as a lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products.
  • Research and devise innovative statistical models and analytical experiments (A/B tests) for data analysis, and stay current with technical and industry developments.
  • Utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy.
  • Adopt AI in daily workstreams and build AI data solutions for automated and scalable analysis.

Qualifications

Minimum Qualifications

  • Bachelor’s degree or above; computer science, statistics, mathematics, or related majors preferred. English can be used as a working language.
  • Skilled in SQL, Excel, and at least one scripting language (e.g., Python); familiar with common statistical and data analysis methods.
  • Strong communication skills, teamwork spirit, and initiative.
  • Strong logical thinking, business interpretation ability, and fast learning capability.
  • Highly numerate and passionate about data analysis.

Preferred Qualifications

  • Internship experience in Data Science or Data Analysis.

About TikTok

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover, and connect — and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity, and bring joy — a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. To achieve our mission of inspiring creativity and bringing joy, we are committed to celebrating our diverse voices and creating an environment that reflects the many communities we reach.


#J-18808-Ljbffr

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.