Deloitte Consulting - Mid-Level Data Scientist at Deloitte

Main Purpose of Job 
Management of Practical Data Science (including MLOps, AI, machine learning, statistics) and delivery teams providing business value to our clients through advanced analytics. Responsible for algorithm and model development and deployment of models in business according to project delivery requirements.

Strategic Impact 

• Supports the Senior Manager on delivery of designated engagement / project, managing the implementation of the agreed deliverables
• Tracks outputs against Service Level Agreement and reports to Senior Manager on any unforeseen issues arising
• Seeks to identify additional sales opportunities in client business 
• Assists in the preparation of proposals/tenders and presentations on request
• Is a support resource in planning of sales presentations and client negotiation teams for new and retained business
• Develops market network in business and builds relationships that generate leads
• Builds relationships across Deloitte  service lines to understand broader offerings and seeks opportunities for cross-selling 
• Generates innovative solutions on projects / engagements in collaboration with team members to enhance / renew service offerings to client

Client Impact: External / Internal

• Manages day-to-day deliverables of team on   client engagements / projects 
• Proactively identifies client service and  technical issues and implements resolutions to address these
• Develops productive working relationships with client teams 
• Builds network of relationships across Deloitte to understand other service line offerings and to market own functional area
• Establishes and maintains good working  relationships with external clients across industries
• Participates in thought leadership process and shares functional and industry knowledge and expertise with clients, colleagues and teams 

Operational Effectiveness:

• Leads  delivery of team based on the SLA and identifies and addresses any areas of concern in outputs
• Manages engagement/project risk to ensure that the firm’s risk policies as well as risk to client confidentiality is aligned at all times
• Consistently reviews and analyses standard and quality of team deliverables and implements changes as necessary
• Meets regularly with client and client teams to understand issues, anticipate needs and address these
• Keeps Senior Manager updated on status of engagement  
• Communicates need for any changes in engagement / project plan to Senior Manager for discussion with Engagement sponsor / client
• Provides ongoing communication to teams on status of engagement / project, changes, achievements, etc.
• Drives Deloitte values of exceptional service to clients, growing the firm’s brand and talent development

Development/Growth of Team

• Shares expertise and knowledge with team members and counselees on an ongoing basis
• Develops good working relationships with key talent in team
• Monitors resource requirements for engagement and communicates to Senior Manager the need for increase / decrease in team headcount
• Maintains own development and knowledge in specialised area

Differentiators for the Role

• Proven delivery track record leading technical delivery and teams in developing models/algorithms that results in tangible business value for clients.
• Experience in implementing Machine Learning operations (MLOps) pipelines 

Technical & Behavioural Capabilities and Competencies

• Advanced analytics and Model development
• Implementing data science and analytics pipelines
• Cloud exposure (Azure/AWS/GCP/Snowflake/Other)
• Proven ability to lead teams technically
• Demonstrated leadership skills 
• Methodology experience (Agile, DataOps, MLOps, Other)
• Data Science and advanced analytics experience
• Proven ability to lead teams technically
• Consulting experience
• Excellent communication skills, both written and verbal
• Ability to develop & grow technical teams
• Objective oriented with strong client delivery focus
• Focus on quality and risk
• Sound problem solving ability

Qualifications

• Bachelor’s Degree in Data Science, Engineering or related Degree

Experience:

• 4 - 6 years experience in a Data Science role