Senior Data Science Consultant

2 weeks ago

Cape Town, Western Cape, South Africa Recru-it Full time

Our client is seeking a full-time Senior Data Science Consultant with strong data science and consulting expertise to join their dynamic and growing Data Science team.

Role and Responsibilities:

As part of the company Data Science team, you will report directly to the Head of 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 the 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 their clients achieve their business objectives.

You will assist the company clients with extracting the maximum value from their data collaborations and ensuring the company Platform stays ahead of the competition by differentiating built-in intelligence, analytical tools, and data products.

Key Responsibilities

  1. Strategic Analysis: Support the Sales and Consulting functions with analysis of client businesses, industries, and market trends to identify strategic opportunities and challenges.
  2. 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.
  3. 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.
  4. 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 in a timely manner.
  5. Data Collection and Analysis: Collect, clean, and analyze large datasets from various sources to derive actionable insights. Utilize statistical and machine learning techniques to identify patterns, trends, and correlations.
  6. 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.
  7. 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.
  8. 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.

Required Qualifications

  1. Education / Degrees: Bachelors degree in Data Science, Engineering, Mathematics, Statistics, Computer Science, or a related field. Postgraduate degree preferred.
  2. Minimum required skills and experience:
  3. Bachelors degree in Data Science, Engineering, Mathematics, Statistics, Computer Science, or a related field. Postgraduate degree preferred.
  4. Proven experience (2+ years) in strategic consulting, management consulting, or a related field, with a focus on data-driven decision-making.
  5. Proven experience (5+ years) in a mid to senior level data science role with experience in leading projects and supervising other data scientists.
  6. Microsoft Certified: Azure Data Scientist Associate certification or equivalent would be advantageous.
  7. Experience with pricing or risk models in the banking or insurance industries would be advantageous.
  8. Strong proficiency in data analysis tools and programming languages such as Python and SQL.
  9. Working knowledge of data management and data visualization tools (Tableau, Power BI, etc.) and techniques.
  10. Strong proficiency and proven working experience with statistical methods, machine learning algorithms, and data mining techniques.
  11. Experience in Azure Synapse Analytics, Azure Machine Learning will be an advantage.
  12. Experience with PySpark and distributed computing using Apache Spark within Azure Synapse.
  13. Experience with Delta Lake / Delta Tables, Databricks, or other modern data lakehouse technologies is a strong advantage.
  14. Proven experience designing and developing Synapse Pipelines that integrate:
    1. SQL stored procedures
    2. Spark jobs (via Synapse Notebooks or Spark Pools)
    3. API integrations
    4. Orchestration and automation flows

Preferred Skills

  1. Excellent problem-solving skills with the ability to think strategically and analytically.
  2. Effective communication skills, with the ability to convey complex findings and recommendations to both technical and non-technical audiences.
  3. Strong attention to detail and a commitment to delivering high-quality work.
  4. Experience working in cross-functional teams and collaborating with diverse stakeholders.
  5. Demonstrated ability to manage multiple projects simultaneously and meet tight deadlines in a dynamic and fast-paced environment.

Why you'll love working for the company:

  1. Flexible Working Arrangements: Whether you're a night owl or an early bird, the company offers hybrid and remote options to suit your lifestyle.
  2. Comprehensive Benefits: From a wellness program to home office reimbursements and continuous learning opportunities, the company has got you covered.
  3. Team Culture: Fun team-building activities, regular socials, and a supportive, inclusive culture that values transparency, accountability, and work-life balance.
  4. Performance Incentives: Competitive salaries, ESOP, and recognition for your hard work.
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