Data Scientist - Manager - Financial Industry

Main Purpose of Job 

Practical Data Science (including MLOps, AI, machine learning, statistics) 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 Engagement Manager in delivery of engagement/project, in a specific area of competency
•    Raises issues with the manager as identified in the area of focus that may affect the quality of delivery or timelines of the engagement  
•    Identifies opportunities for follow-on work and works with management to win the business 
•    Assists in the development of client presentations/discussion documentation
•    Actively builds business relationships that generate leads
•    Gathers information to understand broader offerings of Deloitte and seeks opportunities for cross-selling 
•    Raises solutions to address issues in the area of expertise that may enhance/renew service offerings to client

Client Impact: External / Internal
•    Communicates regularly with both Engagement Manager and the client to meet deliverable expectations in a specific area of expertise 
•    Develops productive working relationships with client staff

Operational Effectiveness:
•    Proactively identifies client needs and problems on technical issues that arise and propose resolutions to address these
•    Manages risk in the area of engagement in alignment with Deloitte policies  
•    Consistently reviews and analyses accuracy and quality of own deliverables 
•    Maintains clear communication channels with engagement team members on work status

Development/Growth of Team
•    Shares expertise and knowledge with team members and assists where possible to ensure quality and timeous delivery of work
•    Mentors junior members of the team
•    Monitors resource requirements for engagement 
•    Maintains own development and knowledge in a specialized area

Budgets/Profitability
•    Maintains quality and timeous delivery as per SLA

Differentiators for the Role
•    Technical expert with problem-solving capabilities
•    Able to work independently in the application of Company Methodologies and tools
•    Understanding of model development, general data analytics algorithms, and data science concepts
•    Capture client requirements and analyze relevant information

Leadership capabilities 

•    Living our Purpose - Acts as a role model, embracing and living our purpose and values, and recognizing others for the impact they make
•    Influence - Influences clients, teams, and individuals positively, leading by example and establishing confident relationships with increasingly senior people
•    Performance drive - Delivers exceptional client service; maximizes results and drives high performance from people while fostering collaboration across businesses and borders
•    Strategic direction - Understands key objectives for clients and the company, aligns people to objectives, and sets priorities and direction
•    Talent development - Develops high-performing people and teams through challenging and meaningful opportunities

Professional Capabilities

•    Delivery Excellence - Ability to produce a high quality work product and collaborate with others to deliver a superior client experience
•    Knows the Business and Sector - Ability to understand how business functions operate and how sector trends impact a client’s business
•    Analytical Thinking & Problem Solving - Ability to select appropriate methods for collecting and analyzing data, and develop informed recommendations that shape or support the client’s business strategy
•    Financial Acumen - Ability to incorporate financial information when evaluating strategic options
•    Executive Presence - Ability to deliver key messages with clarity, confidence, and poise to instill confidence in clients
•    Logical Structuring - Ability to organize insights and define a logical flow to tell a story when presenting recommendations
•    Global Mindset - Ability to apply a global and diverse perspective to problem-solving
•    Business-Technology Acumen - Ability to address client business challenges in the intersection of process and technology

Strategy Specialized / Technical Capabilities

•    Advanced analytics and Model development
•    Implementing data science and analytics pipelines
•    Cloud exposure (Azure/AWS/GCP/Snowflake/Other)

Technical Competencies

•    Cloud experience (preferable) (Azure/AWS/GCP/Snowflake/Other)
•    Methodology experience (Agile, DataOps, MLOps, Other)
•    Data Science and advanced analytics experience
•    Consulting experience (preferable)
•    Experience in development using Python

Behavioral Competencies 

•    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

Minimum Qualifications and Experience Required 

•    Bachelor’s Degree in Data Science, Engineering or related Degree
•    4 years working experience