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

Apply Now

Data Analyst | $56/hr Remote | Mercor

Crossing Hurdles
Bristol
1 day ago
Create job alert

At Crossing Hurdles, we work as a referral partner. We refer candidates to Mercor that collaborates with the world’s leading AI research labs to build and train cutting-edge AI models.


Organization: Mercor

Position: Data Scientist (Kaggle Grandmaster)

Referral Partner: Crossing Hurdles

Type: Hourly Contract

Compensation: $56/hour

Location: Remote

Commitment: 10–40 hours/week


Role Responsibilities (Training support will be provided)

  • Analyze large, complex datasets to identify patterns and generate actionable insights.
  • Build high-performing predictive models, statistical analyses, and ML pipelines across varied data types.
  • Design and implement rigorous experiment frameworks and validation strategies.
  • Automate workflows, feature pipelines, and reproducible research environments.
  • Conduct exploratory data analysis, hypothesis testing, and interpret modeling outcomes.
  • Collaborate with ML engineers and research teams to productionize models at scale.
  • Present findings through clear documentation, dashboards, and reports.


Requirements

  • Kaggle Competitions Grandmaster or equivalent achievement (multiple medals or top-tier rankings).
  • Strong experience in data science, analytics, or ML-driven research.
  • Proficiency in Python and key libraries such as Pandas, NumPy, Polars, and scikit-learn.
  • Solid knowledge of experiment design, causal inference, and statistical modeling.
  • Familiarity with SQL, distributed data systems, and experiment tracking tools.
  • Excellent communication and data storytelling skills.


Application Process (Takes 20 min)

  1. Upload resume
  2. AI interview based on your resume (15 min)
  3. Submit form

Related Jobs

View all jobs

Data Analyst | $56/hr Remote | Mercor

Data Analyst | $56/hr Remote | Mercor

Data Analyst | $56/hr Remote | Mercor

Data Analyst | $56/hr Remote | Mercor

Data Analyst | $56/hr Remote | Mercor

Data Analyst | $56/hr Remote | Mercor

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.