Senior Data Science Consultant (CPT Hybrid/Remote) at Datafin Recruitment

ENVIRONMENT:

• DESIGN and lead Data Science / Analytics projects as the next Senior Data Science Consultant sought by a fast-paced Tech Company providing cutting-edge Data Security Solutions.
• You will also provide strategic insights and recommendations to clients by leveraging data analytics and alternative data while ensuring the Platform stays ahead of the competition by differentiating built-in intelligence, analytical tools and data products.
• 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 also require a Bachelor’s Degree in Data Science/Engineering/Maths/Statistics or similar with 7+ years proven experience in a senior level Data Science role w& strong Python, SQL, Tableau, Power BI and PySpark and distributed computing using Apache Spark within Azure Synapse.

DUTIES:

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:

Qualifications –

• Bachelor’s Degree in Data Science, Engineering, Mathematics, Statistics, Computer Science, or a related field. Postgraduate Degree preferred.

Experience/Skills –

• 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.
• 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.

Advantageous -

• Experience with credit risk or pricing models in the Financial industry.
• Experience designing and developing Synapse Pipelines that integrate: SQL stored procedures, Spark jobs, API integrations, Orchestration and automation flows.
• Experience with Delta Lake / Delta Tables, Databricks, or other modern data lakehouse technologies.

ATTRIBUTES:

• 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.