Fintech Data Scientist Jobs in Raleigh, NC (NOW HIRING)

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Work you'll do/Responsibilities  

Perform analytics using data science techniques; work with the business stakeholders; tell stories from data.

• Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
• Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

The Team 

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible capability and fluid capacity model to the delivery of small technology projects and enhancements.

Qualifications

Required

• 6+ years of demonstrated experience in an Analytics and Strategy role.
• Strong business acumen and the ability to think strategically and operationally.
• Be a self-starter, driven, accountable and a high-energy team player.
• Proven experience being a thought partner to cross-functional business teams offering actionable data insights and recommendations.
• Demonstrated ability to influence without authority.
• Excellent communication skills-able to distill complex analysis into simple, compelling narratives. Background in consulting or customer-facing, fast-paced analytical environment.
• Expertise with SQL, R or Python and data visualization tools such as Tableau for full-stack data analysis, insight synthesis and presentation.
• Knowledge of and experience in leveraging Applied Statistical/ML techniques.
• Bachelor's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.
• Limited immigration sponsorship may be available
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Hybrid role - On-site Tur/Wed/Thu

Preferred

• 6+ years of demonstrated experience in an Analytics and Strategy role, preferably in the payments/fintech domain.
• Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
• Track record of leading organization-wide strategic initiatives or transformative analytics projects.
• Master's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Work you'll do/Responsibilities  

Perform analytics using data science techniques; work with the business stakeholders; tell stories from data.

• Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
• Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

The Team 

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible capability and fluid capacity model to the delivery of small technology projects and enhancements.

Qualifications

Required

• 6+ years of demonstrated experience in an Analytics and Strategy role.
• Strong business acumen and the ability to think strategically and operationally.
• Be a self-starter, driven, accountable and a high-energy team player.
• Proven experience being a thought partner to cross-functional business teams offering actionable data insights and recommendations.
• Demonstrated ability to influence without authority.
• Excellent communication skills-able to distill complex analysis into simple, compelling narratives. Background in consulting or customer-facing, fast-paced analytical environment.
• Expertise with SQL, R or Python and data visualization tools such as Tableau for full-stack data analysis, insight synthesis and presentation.
• Knowledge of and experience in leveraging Applied Statistical/ML techniques.
• Bachelor's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.
• Limited immigration sponsorship may be available
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Hybrid role - On-site Tur/Wed/Thu

Preferred

• 6+ years of demonstrated experience in an Analytics and Strategy role, preferably in the payments/fintech domain.
• Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
• Track record of leading organization-wide strategic initiatives or transformative analytics projects.
• Master's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.