๐ Junior Data Scientist | London | Hybrid Working
๐ Are you a Junior Data Scientist looking to kick-start your career by turning complex data into meaningful insights that influence real-world decisions?
Weโre searching for a motivated and analytical Junior Data Scientist with early industry experience โ whether through internships, placements, academic projects, or commercial exposure โ to join our hybrid-working London team. Youโll 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, youโll:
๐ Develop and evaluate predictive models using statistical, machine learning, and analytical techniques
๐ Support the design and maintenance of data pipelines โ from data collection and cleaning to feature engineering
๐ Build visualisations, dashboards, and reports that turn data into clear business insights
๐ค Collaborate with cross-functional teams including analysts, engineers, and product owners to support data-led decision-making
๐ Explore opportunities in forecasting, optimisation, NLP, and automation using tools like Python, SQL, and modern ML libraries
๐ Contribute to best practices in data quality, documentation, reproducibility, and model governance
Whatโs in it for you?
๐ Career Growth โ Work under experienced mentors, gain hands-on project ownership, and grow your technical and analytical toolkit.
๐ก Innovation Culture โ Join a collaborative environment where curiosity, experimentation, and continuous learning are valued.
๐ข Hybrid Flexibility โ Split your time between remote work and an inspiring central London office with modern facilities.
๐ Inclusive Environment โ Be part of a diverse, supportive team that prioritises wellbeing and professional development.
๐ฐ Competitive Package โ Performance-related bonus, private medical insurance, generous pension contributions, 30 daysโ annual leave, and comprehensive wellbeing benefits.
What Weโre Looking For:
๐ Degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
๐ผ Some industry experience applying data analysis or machine learning (internship, placement, or project work)
๐ Strong Python skills and exposure to analytics/ML frameworks such as pandas, NumPy, scikit-learn, or TensorFlow
๐งฎ Solid understanding of statistical methods, data wrangling, feature engineering, and model evaluation
๐ Confidence working with SQL and large datasets
โ๏ธ Familiarity with cloud platforms (AWS, GCP, or Azure) and version control tools like Git
๐ฌ Excellent communication, analytical thinking, and teamwork skills
If youโre passionate about uncovering insights, solving problems with data, and contributing to real-world outcomes โ all while growing in a global, forward-thinking environment โ weโd love to hear from you.
๐ Apply now and take the first step toward shaping the future of data intelligence.