Description:
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 de