Lead Data Scientist London, England
- London
- Permanent
- Full-time
- Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
- Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
- Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.
- Manage and mentor 2-3 data scientists
- Plan and organise the team across potentially several projects in parallel
- Develop strong relationships & become a trusted advisor with agency stakeholders & clients where relevant.
- Present technical solutions in a way that resonates with non-technical stakeholders, highlighting the business impact of data-driven insights.
- Develop and deploy Data Science models & methods to deliver business value additive solutions that are
- Explicitly highly valued by the client(s) and key stakeholders
- And/or successfully scaled & embraced as useful across multiple client entities
- Ensure any internally developed solutions meet both business and Client requirements, from initial concept to final implementation.
- Ensure projects are delivered on time, within budget, and aligned with client and business
- Identify and share best practices and learnings across client portfolios and regional teams, contributing to the continuous evolution of Choreograph's Data Science capabilities within services.
- Support ethical AI practices and responsible data management, ensuring that all solutions meet the highest standards of transparency and accountability.
- Help design and develop innovative new client facing solutions or improve existing solutions to drive higher efficiency and output quality.
- Work closely with stakeholders to identify and deliver on data science opportunities that drive growth and optimize outcomes.
- Foster collaboration between technical and non-technical teams, ensuring alignment on project goals and client objectives.
- Stay informed on emerging trends and technologies, continuously identifying opportunities to innovate and enhance Choreograph's service offerings to clients.
- Experience in a role within data science, advanced analytics, or AI, ideally in a client-facing, consultancy, or professional services environment.
- Demonstrable success in managing large-scale data science or analytics projects that deliver significant business impact.
- Demonstrated ability to balance long-term strategic goals with immediate client needs, driving both growth and operational excellence.
- Deep expertise in data science methodologies, including machine learning, statistica, modeling, predictive analytics, and data visualization. A strong proficiency in Python, R, or similar languages, along with experience in cloud-based data platforms like GCP, Azure, or AWS.
- Exceptional communication and interpersonal skills with a proven ability to manage and influence senior client stakeholders. Experience in explaining complex data science concepts in business terms and helping clients adopt data-driven strategies.
- Experience managing complex, multi-faceted projects with competing deadlines. Expertise in Agile project management methodologies is a plus.
- Hands-on experience with a variety of machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch etc.) and AutoML technologies (e.g., Datarobot, Dataiku). Experience in deploying models at scale using cloud infrastructure is a plus.
- Proven ability to lead, mentor, and inspire teams of data scientists, analysts, and engineers. A track record of developing team members and creating a high-performance