Data Scientist

Intellect Group
City of London
5 days ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist / Software Engineer

📊 Junior Data Scientist | London | Hybrid Working


🚀 Are you a Junior Data Scientist looking to kick-start your career by turning complex data into meaningful insights that influence real-world decisions?


We’re searching for a motivated and analytical Junior Data Scientist with early industry experience — whether through internships, placements, academic projects, or commercial exposure — to join our hybrid-working London team. You’ll play a key role in transforming raw data into actionable intelligence, contributing to predictive models, dashboards, and analytics that shape strategic direction across the organisation.


This is a fantastic opportunity to join a global data and analytics function, working alongside experienced data scientists, machine learning engineers, and domain experts who are pushing the boundaries of data-driven innovation.


In this role, you’ll:

📈 Develop and evaluate predictive models using statistical, machine learning, and analytical techniques

🛠 Support the design and maintenance of data pipelines — from data collection and cleaning to feature engineering

📊 Build visualisations, dashboards, and reports that turn data into clear business insights

🤝 Collaborate with cross-functional teams including analysts, engineers, and product owners to support data-led decision-making

🔍 Explore opportunities in forecasting, optimisation, NLP, and automation using tools like Python, SQL, and modern ML libraries

📐 Contribute to best practices in data quality, documentation, reproducibility, and model governance


What’s in it for you?

📈 Career Growth – Work under experienced mentors, gain hands-on project ownership, and grow your technical and analytical toolkit.

💡 Innovation Culture – Join a collaborative environment where curiosity, experimentation, and continuous learning are valued.

🏢 Hybrid Flexibility – Split your time between remote work and an inspiring central London office with modern facilities.

🌍 Inclusive Environment – Be part of a diverse, supportive team that prioritises wellbeing and professional development.

💰 Competitive Package – Performance-related bonus, private medical insurance, generous pension contributions, 30 days’ annual leave, and comprehensive wellbeing benefits.


What We’re Looking For:

🎓 Degree in Data Science, Computer Science, Mathematics, Statistics, or a related field

💼 Some industry experience applying data analysis or machine learning (internship, placement, or project work)

🐍 Strong Python skills and exposure to analytics/ML frameworks such as pandas, NumPy, scikit-learn, or TensorFlow

🧮 Solid understanding of statistical methods, data wrangling, feature engineering, and model evaluation

🗄 Confidence working with SQL and large datasets

☁️ Familiarity with cloud platforms (AWS, GCP, or Azure) and version control tools like Git

💬 Excellent communication, analytical thinking, and teamwork skills


If you’re passionate about uncovering insights, solving problems with data, and contributing to real-world outcomes — all while growing in a global, forward-thinking environment — we’d love to hear from you.


👉 Apply now and take the first step toward shaping the future of data intelligence.

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.