Job Openings Senior Data Science Consultant

About the job Senior Data Science Consultant

Senior Data Science Consultant

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

Location: South Africa (Remote / Hybrid)

Role and Responsibilities

  • As part of our Clients 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 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 clients achieve their business objectives.
  • You will assist clients with extracting the maximum value from their data collaborations; and ensuring our Clients Platform stays ahead of the competition by differentiating built-in intelligence, analytical tools and data products.

Required Skills (Technical)

  • 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 in Azure Synapse Analytics, Azure Machine Learning will be an advantage.

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. 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.

Required Qualifications and Experience

  • Bachelors degree in Data Science, Engineering, Mathematics, Statistics, Computer Science, or a related field. 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.

Preferred Skills

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

What Our Client Offers

  • Competitive salary and comprehensive benefits package.
  • Opportunities for professional growth and advancement in a supportive and dynamic environment.
  • Flexible work arrangements, including remote work options.