Lead Data Scientist

The Apex Group was established in Bermuda in 2003 and is now one of the world’s largest fund administration and middle office solutions providers.

Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion.

That’s why, at Apex Group, we will do more than simply ‘empower’ you. We will work to supercharge your unique skills and experience.

Take the lead and we’ll give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities.

For our business, for clients, and for you

Responsibilities:

· Lead and oversee the development and execution of data science & AI projects, from problem formulation to solution implementation, ensuring high-quality deliverables and alignment with business objectives.

· Define the technical roadmap and vision for data science initiatives, working closely with stakeholders to identify opportunities, prioritize projects, and drive innovation.

· Provide technical leadership and mentorship to a team of data scientists, fostering their growth and development while ensuring the successful delivery of projects.

· Collaborate with cross-functional teams, including business stakeholders, data engineers, and IT teams, to identify data requirements, integrate data science solutions into existing systems, and optimize data infrastructure.

· Design and implement advanced statistical models, algorithms, and machine learning techniques to extract insights, drive actionable recommendations, and solve complex business problems.

· Stay up to date with the latest advancements in data science, machine learning, and artificial intelligence, and guide the team in adopting cutting-edge techniques and methodologies.

· Present complex findings and insights to executive stakeholders in a clear and compelling manner, influencing data-driven decision-making at the highest levels of the organization.

· Lead the evaluation and adoption of new technologies, tools, and methodologies to enhance our data science capabilities and drive innovation.

· Collaborate with external partners, research institutions, and industry experts to stay at the forefront of data science advancements and explore potential collaborations.

· Analyse large, structured, and unstructured datasets to uncover trends, patterns, and insights that drive business strategies and optimizations.

Must-Have Skills:

· Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field. A master's degree is a plus.

· Extensive experience in data science, statistical analysis, machine learning, and AI, with a proven track record of delivering impactful solutions to complex business problems.

· Strong proficiency in programming languages such as Python for data manipulation, statistical analysis, and machine learning.

· In-depth knowledge of advanced statistical modelling techniques, experimental design, and hypothesis testing.

· Expertise in machine learning techniques, including deep learning, ensemble methods, time series analysis, and reinforcement learning.

· Strong understanding of cloud computing platforms, specifically Snowflake, Databricks, and Azure, and their data services.

· Strong problem-solving skills with the ability to think critically, analyse complex data, and propose innovative solutions.

· Excellent communication and leadership skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholders.

· Proven experience in leading and managing data science projects and teams, ensuring timely delivery and successful outcomes.

· Ability to drive the strategic direction of data science initiatives, set technical standards, and guide the adoption of emerging technologies.

· A good understanding of AI, and current AI technologies such as Agentic AI, LLMs, and Prompt Engineering.

Desirable Skills:

· Experience with Document Processing, natural language processing (NLP) and text mining techniques.

· Experience with data governance, data privacy, and compliance frameworks (e.g., GDPR, CCPA).

· Understanding of cloud security and data protection best practices.

· Familiarity with cloud-based data processing, data lakes, and serverless architectures.

· Proficiency in SQL and experience working with relational databases and big data platforms for data extraction and manipulation.

· Understanding of cloud security and data protection best practices

· Understanding of key DevOps and MLOps principles.

Disclaimer: Unsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.