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Sales Ex - COE - Client Success - Data Science Specialist

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor's degree or equivalent experience., At least 4 years of professional experience in AI/ML., Coding expertise in Python, SQL, or R., Master or doctoral degree in Data Science is a plus..

Key responsabilities:

  • ETL raw data for analysis and modeling.
  • Develop machine learning models to solve business problems.

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Accenture Nordics Information Technology & Services XLarge https://www.accenture.com/
10001 Employees
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Job description

Sales Excellence at Accenture empowers our people to compete, win and grow. We provide everything they need to grow their client portfolios, optimize their deals and enable their sales talent, all driven by sales intelligence.

The team will be aligned to the Client Success, which is a new function to support Accenture’s approach to putting client value and client experience at the heart of everything we do to foster client love. Our ambition is that every client loves working with Accenture and believes we’re the ideal partner to help them create and realize their vision for the future – beyond their expectations.

You are:

An experienced data scientist with a flair for turning data into business insights. You enjoy searching for patterns and connections in data to discover trends, root causes and solutions. While logical and objective in your approach, your true superpower is helping others to see how things can be done differently. You use AI modeling to test theories and identify ways to improve processes.

The work:

The Center of Excellence (COE) enables Sales Excellence to deliver best-in-class service offerings to Accenture leaders, practitioners, and sales teams.

As a member of the COE Analytics Modeling Analysis team, you will generate business insights to help Accenture to improve its processes, boost sales and maximize profitability.

You will build models and scorecards that help business leaders to understand trends and market drivers. You will work closely with operations teams to turn these insights into user-friendly solutions. Managing access to tools and monitoring their usage

Roles & Responsibilities:

  • ETL raw data from the source systems across business areas and transform it into structured and usable formats for analysis and modeling purposes.
  • Apply statistical, machine learning, and NLP techniques to analyze data, identify patterns, and extract meaningful insights.
  • Develop machine learning or deep learning models to solve complex business problems or operations and implement and manage the models in the cloud platform.
  • Interpret and present findings to technical as well as non-technical audiences in a clear and actionable manner.
  • Identify Gen AI use cases leveraging various LLMs and design and conduct pilot projects to explore their feasibility and value.
  • Develop Gen AI-based solutions or capabilities collaborating with cross-functional teams including data engineers and business stakeholders.
  • Ensure data compliance with privacy regulations and implement data security measures.
  • Stay updated with latest developments in data science and Gen AI.

Professional & Technical Skills:

  • Bachelor’s degree or equivalent experience.
  • Coding expertise in coding Python, SQL, or R scripts.
  • Strong communication skills in both oral and written English.
  • Excellent time management and organizational skills.
  • Proficiency in project management.
  • Strong business acumen and attention to detail.

At least 4 years of professional experience in AI/ML including:

  • Machine learning or deep learning algorithms
  • Natural language processing techniques
  • Generative AI skills leveraging LLMs
  • Data visualization tools such as Power BI or QlikSense


Additional Information:

  • Master or doctoral degree in Data Science or similar field.
  • Experience in developing Gen AI solutions leveraging Azure OpenAI or Google PaLM2.
  • Experience in deploying and managing ML models in GCP production environment.
  • Experience with survey data analysis using Qualtrics tools.
  • Experience with Sales, Marketing, Pricing, or Finance data.
  • Working knowledge of Salesforce Einstein Analytics.
  • Experience working with Power Apps.

🌈 AT ACCENTURE, EQUALITY DRIVES INNOVATION 

Did you know that Accenture was named the most diverse and inclusive company in the world? 

We believe that the workforce of the future is an equal workforce for all. 

All decisions regarding the employment selection process will be made without distinction, exclusion or preference based on race, color, gender, sexual orientation, disability, age, religion, political or trade union opinion, nationality or socioeconomic origin or any other grounds provided by applicable law that would have the effect of nullifying or impairing equality of opportunity or treatment among candidates. 

#LI-LATAM

About Accenture

Accenture is a leading global professional services company that helps the world’s leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Oportunidad Laboral Equitativa                                                                                 
Todas las decisiones del empleador deben tomarse sin tomar en cuenta la edad, raza, creencias, color, religión, sexo, nacionalidad de origen, discapacidades, orientación sexual, identidad o expresión de género, información genética, estado civil, estado de ciudadanía u otra base protegida por la federación, estado, o leyes locales.                                    

Los candidatos no estarán obligados a revelar registros sellados o cancelados de condena o arresto como parte del proceso de contratación. Accenture se compromete a proporcionar oportunidades de empleo para veteranos a nuestros hombres y mujeres de servicio.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication
  • Time Management
  • Organizational Skills
  • Detail Oriented

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