Lead Data Scientist
Posted: 1 days ago
Job Description
Lead Data Scientist | London | Multiple Sectors📍 London (Hybrid) 💰 Up to £115,000 + Equity + Private HealthMachine Learning | Data Science Libraries | Deep Learning Frameworks | AII’m currently looking for:1 x Lead Data Scientist (Financial Services)1 x Lead Data Scientist (Retail)1 x Lead Data Scientist (SaaS)Our client partners with some of the world’s most recognisable brands to deliver innovative, data-driven solutions that transform customer experience, strategy, and performance.From global enterprises to digital-first disruptors, they help businesses harness the power of advanced analytics, machine learning, and AI to stay competitive in a rapidly changing market.If you’re looking for an opportunity to shape the future of applied AI across exciting industry sectors, this is your chance.ROLES: Lead Data Scientist (Project Lead, Mentoring, Technical Lead)We are seeking Lead Data Scientists to take pivotal roles across a variety of industries. These are senior technical and leadership positions — perfect for people who want to influence the direction of AI and data science solutions across real-world business problems.You will set the technical vision, oversee project teams, and serve as a trusted advisor to senior stakeholders — defining approaches to complex data challenges, guiding enterprise-scale AI applications, and mentoring a team of talented data scientists.What You’ll Bring 🔥 Deep expertise in machine learning and statistical modelling ⚙️ Skilled with core data science tools (NumPy, Pandas, Scikit-Learn) and deep learning frameworks (PyTorch, TensorFlow) 💡 Proven track record delivering impactful AI/ML projects (e.g. forecasting, recommendation systems, or optimisation) 📈 Experienced project lead with strong technical decision-making and architecture ownership 🗣️ Excellent communicator — able to translate complex technical insights into real business value 🤓 Passionate mentor/manager who enjoys developing and growing data science talentApply now and become a key player driving data science innovation in retail, financial services OR SAAS
Job Application Tips
- Tailor your resume to highlight relevant experience for this position
- Write a compelling cover letter that addresses the specific requirements
- Research the company culture and values before applying
- Prepare examples of your work that demonstrate your skills
- Follow up on your application after a reasonable time period