Senior Data Science Consultant

SUMMARY:
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: 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 company’s 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 the company’s 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.

• 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.

• Education /Degrees: Bachelor’s degree in Data Science, Engineering, Mathematics,

• Bachelor’s degree in Data Science, Engineering, Mathematics, Statistics, Computer Science, or a related field. Postgraduate degree preferred.
• 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.
• Experience with credit risk or pricing models in the financial industry would be advantageous.

• 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.
• Experience designing and developing Synapse Pipelines that integrate: SQL stored procedures, Spark jobs, API integrations, Orchestration and automation flows is highly advantageous
• Experience with Delta Lake / Delta Tables, Databricks, or other modern data lakehouse technologies is a strong advantage.

• 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.

• Flexible Working Arrangements: Whether you’re a night owl or an early bird, the company

• Comprehensive Benefits: From a wellness program to home office reimbursements and continuous learning opportunities, the company has got you covered.
• Team Culture: Fun team-building activities, regular socials, and a supportive, inclusive culture that values transparency, accountability, and work-life balance.
• Performance Incentives: Competitive salaries, ESOP, and recognition for your hard work.

POSITION INFO:
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: 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 company’s 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 the company’s 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.

• 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.

• Education /Degrees: Bachelor’s degree in Data Science, Engineering, Mathematics,

• Bachelor’s degree in Data Science, Engineering, Mathematics, Statistics, Computer Science, or a related field. Postgraduate degree preferred.
• 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.
• Experience with credit risk or pricing models in the financial industry would be advantageous.

• 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.
• Experience designing and developing Synapse Pipelines that integrate: SQL stored procedures, Spark jobs, API integrations, Orchestration and automation flows is highly advantageous
• Experience with Delta Lake / Delta Tables, Databricks, or other modern data lakehouse technologies is a strong advantage.

• 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.

• Flexible Working Arrangements: Whether you’re a night owl or an early bird, the company

• Comprehensive Benefits: From a wellness program to home office reimbursements and continuous learning opportunities, the company has got you covered.
• Team Culture: Fun team-building activities, regular socials, and a supportive, inclusive culture that values transparency, accountability, and work-life balance.
• Performance Incentives: Competitive salaries, ESOP, and recognition for your hard work.