Senior Freelance Data Scientist

Aligned Labs
Birmingham
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Governance Analyst

Senior Data Engineer

Senior Data Engineer (AWS, Airflow, Python)

Senior Data Engineer

Senior Data engineer - Databricks

Looking for 15 talented PhD Data Scientists for part-time REMOTE work supporting AI research. Projects start at $50-70 USD / hour.


Do you have a PhD in Data Science or Statistics and 3+ years of senior-level experience at a highly reputable company or government organization? Are you looking to supplement your income with high-paying, fully-remote freelance projects at the world's top AI research and frontier model companies?


Join our talented community of data science experts supporting the world's leading AI companies, and be competitively compensated for your hard-earned skills and insights. Data science projects start at $50 to $70 USD / hour for newly approved experts and scale upwards of $150 USD / hour for our highest performing experts.


Visit Aligned Lab to apply: https://www.alignedhq.ai/expert-domains/all


About Aligned

At Aligned, we have built a platform that connects the world’s most talented professionals to freelance projects at AI companies in need of their expertise. From doctors and scientists to engineers and business professionals, the Aligned community comprises the top 10% of experts and freelancers in every domain.


Unlike low-skill freelance work on traditional consulting platforms, our community of experts set their own pay and are exclusively matched to the top-paying projects at the world's leading AI research companies.


How it Works

  • Sign up at https://www.alignedhq.ai/expert-domains/all and complete the process to verify your identity and experience.
  • Once approved as an expert on our platform, you will become immediately eligible to be assigned to AI projects that match your desired pay rate.
  • While the work is highly varied, projects will typically involve creating complex real-world problems in your field from scratch, reviewing AI-generated content, and explaining complicated concepts to non-technical audiences.
  • Projects are paid hourly and start at $50-$70 USD / hour for newly approved experts. You will be paid bi-weekly.


Minimum Qualifications

  • You are a native or fluent English speaker and can confidently write at the university level.
  • You have a PhD in Data Science, Statistics, or related field from a reputable university. Candidates with an MS degree from a tier 1 university are also eligible.
  • You have a minimum of 3 years of senior-level data science or statistics experience at a highly regarded organization.
  • You have proven experience applying data science and/or advanced statistical methods to real-world problems with measurable impact.
  • You possess exceptional communication skills, with a proven ability to explain complex concepts clearly to both expert and non-expert audiences.


Benefits

  • Competitive Compensation.Set your own rates and work on your own terms.
  • Flexible Remote Projects.All jobs are fully remote with flexible hours.
  • No-Stress Matching.No need to search for jobs or promote yourself. We do the work.
  • Expert Community.Gain access to a network of like-minded experts and professionals.
  • Impact on the Future of AI.Regularly contribute to unreleased AI projects at the world's top AI research companies.


Join the Aligned community of global professionals and domain experts powering the technology of tomorrow! Learn more and apply here: https://www.alignedhq.ai/expert-domains/all

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.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.