JOB DETAILS

#curiousdatascientist


 Consultant  Data Scientist  


This Data Driven Consulting practice uses a human-centred design approach to enhance decision-making in all its myriad sizes, scopes, structure and forms.

Through a focus on decision-making, they help clients deliver their customer engagement and operational strategies.

They do this by conceiving and implementing intelligent systems, architectures, processes and new operating models. We design, develop and deploy solutions that digitise and automate clients’ decision making processes.

The work embeds artificial intelligence, machine-based learning, cognitive computing, advanced analytics, probabilistic reasoning and deterministic business rules management into core processes and functions within client organisations.
  
Your new role
 
The Lead Data Scientist will design, develop and implement flexible and extensible analytic solutions that typically involve a combination of analytical, process and business transformation outcomes and focus on areas of our client’s business such as customer, product and supply chain, just to name a few.  You will be comfortable presenting to senior stakeholders, guiding junior consultants on engagements, scoping and pricing an engagement, designing a practical team structure, structuring and writing a deliverable and coding an algorithm.   You will work proactively to:
 

• Explain the business impact and strategic significance of analytic outcomes to non-technical senior stakeholders.
• Lead clients in the development of their in-house data, analytics environments, organisational structures and information/analytics governance.
• Lead and manage the procurement and installation of analytic toolsets considering the client’s maturity 
• Lead and manage a co-sourced team of analytics specialists comprising of employees, sub-contractors, vendor specialists and client employees. Define and manage performance, cost, scope, schedule and quality for the team according to the team charter.
• Lead and manage the design and development of analytics assets including the identification and collection of applicable data to solve a business problem.
• Design, develop and implement optimization algorithms and solutions in areas that might include asset and inventory management, communications, channels, risk and portfolio analysis and supply chain management.
• Design, develop and implement predictive analytical models for areas such as customer segmentation, market basket analysis, offer propensity, demand planning & forecasting, fraud detection, inventory management and risk exposure.
• Design, develop and implement approaches for productionising model scoring and the closed loop feedback paths require to support true test and learn and model validation.

 
In addition to your focus on client engagements, you will contribute to the definition and enhancement of analytics and experimental design disciplines within the practice.  
 
You bring to the role
You will possess the following experience and attributes:

• A sound understanding of digital and cognitive technologies and analytics, information management and business process based solutions.
• A high level understanding of systems integration, relationship databases and non-relational data stores.
• Proven ability to:
• Design and implement a sophisticated analytical lifecycle management ecosystem including continuous integration, functional performance monitoring and automated model retraining.
• Lead the design of analytical solution to maximise code reuse, decouple system components, maximise portability and minimise technical debt.
• Apply advanced techniques to data to assess its promise for future analysis.
• Construct a reproducible data pipeline with appropriate tooling to transform it into candidate features for machine learning.
• Apply a range of visual presentation tools to create customer visualisations for specific purposes including interactive and time dependent visualisations.
• Formulate, construct and apply appropriate learning algorithms and optimisation approaches to data.
• Apply the techniques of statistical inference to test hypotheses and derive estimates of population statistics from sample data.
• Demonstrated experience in one or more of the following: Data Mining, Predictive Analytics, Machine Learning, Segmentation, Optimisation, Business Rules Engines, Marketing Optimisation, Pricing Optimisation, Web Analytics, Geospatial Analysis.
• Demonstrated experience with a range of languages/tools/datastores that could include: R, SQL, SAS, Python, SPSS, Pig, Hive, Impala, RapidMiner, Salford Systems, Weka, KXEN, Matlab, Octave, Teradata, Aster, Oracle, Neo4J, Hadoop, Tableau, QlikView, Alteryn, Alphine Data Labs, Unica, SAS CI, SAS MO, Radar, QGIS, MapInfo, PostGIS, Git.
• A disciplined approach to problem solving and an ability to critically assess a range of information to differentiate true business needs as opposed to user requests.
• Excellent interpersonal, oral and written communication skills with extensive experience explaining complex technical concepts to business focussed senior stakeholders.
• Proven ability to develop and manage enduring client relationships, engendering a sense of trust and respect.
• Present in a professional manner and have a positive personal presence with a high degree of personal awareness and desire to be a part of a high performing team.

What is on offer 

Rewarding careers for outstanding professionals, ongoing learning and development opportunities, a collaborative and inclusive culture, and flexible and agile work practices that focus on our people's wellbeing to drive innovation and entrepreneurship. 
 
 
Please apply for this position by submitting your confidential application online.