Senior Data Science Consultant

A leading company with a mix of consumer brands and financial services are looking for a full-time Senior Data Science Consultant with strong data science and consulting expertise to join their dynamic and growing Data Science team based in Cape Town.

Responsibilities

• As part of their Data Science team you will report directly to the Head: Data Science.
• As a Senior Data Science Consultant you will be responsible for designing and leading data science projects; and providing strategic insights and recommendations to our clients by leveraging data analytics and alternative data.
• The ideal candidate will possess a unique blend of strategic thinking business acumen and advanced data analytics capabilities to drive impactful solutions and help our clients achieve their business objectives.
• You will assist their clients with extracting the maximum value from their data collaborations; and ensuring the platform stays ahead of the competition by differentiating built-in intelligence analytical tools and data products.
• Strategic Analysis: Support the Sales and Consulting functions with analysis of client businesses industries and market trends to identify strategic opportunities and challenges.
• Strategic Planning: Proactively collaborate with clients and the Consulting team to assist with developing strategic plans and roadmaps based on data-driven insights. Provide recommendations on growth opportunities cost optimization and risk management that can be achieved with alternative data.
• Client Engagement: Build and maintain strong relationships with clients by understanding their business needs communicating findings effectively and delivering high-quality solutions. Identify relevant opportunities for upselling cross-selling data products and value-added services.
• Design and lead data science / analytics projects: Scope out analytical solutions to align with client requirements and agreed timelines; Lead the project delivery and supervise data scientists / analysts on the project. Ensure regular status updates are provided to the Consulting team and clients and data and information required from clients is requested timeously.
• Data Collection and Analysis: Collect clean and analyse large datasets from various sources to derive actionable insights. Utilize statistical and machine learning techniques to identify patterns trends and correlations.
• Modelling and Forecasting: Design and develop data products predictive models and forecasting algorithms to support strategic decision-making. Evaluate model performance and refine methodologies as needed.
• Performance Measurement: Define key performance indicators (KPIs) and develop measurement frameworks to track the effectiveness of strategic initiatives. Provide regular reports and dashboards to stakeholders.
• Thought Leadership: Stay abreast of industry trends emerging technologies and best practices in data science alternative data and data collaboration. Share insights and thought leadership internally and externally.

Requirements:

• Education /Degrees: Bachelors degree in Data Science Engineering Mathematics Statistics Computer Science or a related field. Postgraduate degree preferred.
• Proven experience (3 years) in strategic consulting management consulting or a related field with a focus on data-driven decision-making.
• Proven experience (7 years) in a senior level data science role with experience in leading projects and supervising other data scientists.
• Experience with credit risk or pricing models in the financial industry would be advantageous.

Required Skills

• Strong proficiency in data analysis tools and programming languages such as Python and SQL.
• Working knowledge of data management and data visualization tools (Tableau Power BI etc) and techniques.
• Strong proficiency and proven working experience with statistical methods machine learning algorithms and data mining techniques.
• Experience with PySpark and distributed computing using Apache Spark within Azure Synapse.
• Experience designing and developing Synapse Pipelines that integrate: SQL stored procedures Spark jobs API integrations Orchestration and automation flows is highly advantageous
• Experience with Delta Lake / Delta Tables Databricks or other modern data lakehouse technologies is a strong advantage.

Why youll love working for them:

We believe in taking care of our team and creating an environment where you can thrive. As part of our company youll enjoy:

• Flexible Working Arrangements: Whether youre a night owl or an early bird we offer hybrid and remote options to suit your lifestyle
• Comprehensive Benefits: From a wellness program to home office reimbursements and continuous learning opportunities weve got you covered.
• Team Culture: Fun team-building activities regular socials and a supportive inclusive culture that values transparency accountability and work-life balance.
• Performance Incentives: Competitive salaries ESOP and recognition for your hard work.