Senior Data Science Consultant - Cape Town - Remote

Das ist der Job

Share insights and thought leadership internally and externally.

Darum lohnt es sich

Hire Resolve's client is looking for a Senior Data Science Consultant to join their team in Cape Town (Remote), the candidate needs to have strong data science and consulting expertise to join our dynamic and growing Data Science team. Role and Responsibilities: As part of our Data Science team, you will report directly to the Head: Data Science.

Key Responsibilities: • 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.

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 analyze large datasets from various sources to derive actionable insights.

Postgraduate degree preferred. • Proven experience (2+ years) in strategic consulting, management consulting, or a related field, with a focus on data-driven decision-making. • Proven experience (5+ years) in a mid to senior level data science role with experience in leading projects and supervising other data scientists. • Microsoft Certified: Azure Data Scientist Associate certification or equivalent would be advantageous. • Experience with pricing or risk models in the banking or insurance industries would be advantageous. • Strong proficiency in data analysis tools and programming languages 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 in Azure Synapse Analytics, Azure Machine Learning will be an advantage. • Experience with PySpark and distributed computing using Apache Spark within Azure Synapse. • Experience with Delta Lake / Delta Tables, Databricks, or other modern data lakehouse technologies is a strong advantage. • Proven experience designing and developing Synapse Pipelines that integrate: • SQL stored procedures • Spark jobs (via Synapse Notebooks or Spark Pools) • API integrations • Orchestration and automation flows How to Apply: If you would like to apply for this position, kindly forward your CV to Gaby Turner at gaby.turner@hireresolve.us Alternatively, you may forward your CV to our general email at itcareers@hireresolve.za.com 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 our 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.

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.

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. Requirements: • Bachelor’s degree in Data Science, Engineering, Mathematics, Statistics, Computer Science, or a related field.