Senior Data Scientist

The Offer

• Excellent career development opportunities
• Leadership Role
• Great work environment

The Job

Lead the end-to-end design, development, and deployment of advanced analytical solutions, serving as a subject matter expert. Independently drive research initiatives and translate ambiguous, open-ended business objectives into structured, high-impact data science roadmaps.

• Lead the design and rigorous evaluation of statistical analyses and complex machine-learning algorithms to solve strategic business challenges.
• Architect, build, and deploy production-ready predictive models and machine-learning systems, ensuring scalability, reliability, and maintainability in collaboration with Data Engineering and MLOps teams.
• Define and lead the implementation of LLM-based solutions (e.g., RAG, fine-tuning) for new business capabilities (e.g., advanced customer support, content generation, knowledge mining).
• Proactively identify complex data patterns, market trends, and hidden opportunities to optimize the business, creating and championing new strategic directions through advanced modelling.
• Propose, design, and champion data-driven solutions and strategies to executive and cross-functional stakeholders, translating complex technical insights into clear, actionable business recommendations.
• Design and govern standardized data visualization techniques and reporting frameworks to ensure consistent, impactful communication of results across the organization.
• Own comprehensive technical documentation, including model methodology, production pipelines, deployment artifacts, and business impact analyses.
• Define new opportunities to significantly enhance business performance and product offerings through advanced machine learning and statistical modelling, driving projects from ideation to production.
• Lead the design and development of critical analytical projects focused on understanding and driving key business behaviors (e.g., customer acquisition, retention), independently managing project timelines and cross-functional dependencies.
• Develop, maintain, and own high-priority, client-facing, and executive-level analytics reports, ensuring data integrity and strategic relevance.
• Independently manage and lead the technical execution of major data science projects across marketing, non-marketing, and custom solutions, acting as the primary point of contact for stakeholders.

Leadership & Strategic Responsibilities:

Serve as a technical leader and force multiplier for the Data Science function, driving best practices, mentorship, and business impact.

• Mentor and coach junior Data Scientists, fostering their technical growth, code quality, and business acumen.
• Define and implement team-wide best practices for modelling, testing, and production deployment (e.g., A/B testing design, model monitoring).
• Set the strategic direction for Generative AI and LLM adoption within the organization, including ethical guidelines, cost management, and model selection.
• Contribute to the data strategy by evaluating new technologies, methodologies, and data sources (e.g., Big Data technologies, advanced deep learning) for their potential business impact.
• Act as a key liaison between the Data Science team and senior business stakeholders (Product, Marketing, Engineering, Executive), managing expectations and driving the adoption of data science solutions.
• Supervise and lead by example in the drive to learn and master new technologies and research breakthroughs, setting a high standard for technical excellence, where we focus on marketing, non-marketing, and custom product development.

The Profile

• 3+ years of professional experience in Data Science or a highly quantitative role, with a proven track record of delivering measurable business impact from end-to-end projects.
• Expert-level proficiency using programming languages (primarily Python/R) and SQL to build, productionize, and manage large-scale data science solutions.
• Advanced mastery of Computer Science, Mathematical, Statistical, and Machine Learning principles, including a deep understanding of algorithm deployment, performance optimization, and statistical rigour.
• Demonstrated experience with modern Deep Learning frameworks (e.g., PyTorch, TensorFlow) and hands-on experience in one or more LLM/Generative AI projects.
• Familiarity with prompt engineering, vector databases (e.g., Pinecone, Milvus), and leveraging LLM APIs (e.g., OpenAI, Google Gemini, Anthropic).
• Extensive experience working with and manipulating large-scale structured and unstructured data sets (e.g., text, image, time series data).
• Proven experience and expertise in Data Architecture, Data Engineering, and MLOps principles, with hands-on experience in cloud platforms (e.g., GCP, AWS, Azure).
• Proficiency with industry-standard Data Visualization Tools (e.g., Tableau, Power BI, Looker/Google Data Studio), focusing on storytelling and strategic reporting.

The Employer

Our client is an independent data analytics consultancy. We provide C-suite executives and start-up Founders with industry-leading digital marketing and data analytics solutions.

3+ years