Campaign and Data Science Consultant

• Translate business and user needs into intuitive, visually compelling digital experiences. 
• Support teams to define long-term visions, strategies & new business models that address today’s business needs and future growth (with key focus on Sales, Marketing, Customer Analytics & Service).
• Identify & assess digital solutions & applications required to achieve strategic goals & capture new opportunities.
• Assess the business case for new strategic & investment opportunities.
• Design new business and operating models to deliver strategic change and improve organization agility.
• Manage Experience Strategy Analysts which are part of project delivery team and assign responsibilities on data gathering activities, financial modeling, interviews, research, presentations and others.
• Build and optimize propensity models to predict customer behaviors and improve targeting strategies.
• Develop automated dashboards and reporting tools to provide real-time insights for stakeholders.
• Conduct post-activity evaluation and performance analysis to measure impact and refine future campaigns.
• Interact with client teams to conduct interviews, discuss findings and recommendations.
• Contribute to the business development process by participating in sales meetings, assist/lead proposal development efforts and delivering client presentations.
• Support the ongoing development of solution/program offering approaches, methodologies, techniques, and business development tools.
• With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. 

• Permanent employment contract. 
• Individual support of a People Lead and a specific path of professional development, as well as the possibility of a session with a Coach. 
• A wide training package (soft, technical, and language training offer, access to the e-learning platforms, Gallup test, GenAI training, possibility of co-financing courses, and certification). 
• Employee Assistance Program - legal, financial, and psychological consultations. 
• Accenture employees eligible for the Employee share purchase plan automatically become eligible for quarterly dividends if they own company shares. 
• Paid employee referral program. 
• Private medical care, life insurance. 
• Access to the WorkSmile platform (possibility of using a wide range of products and services, including the Multisport card). 

• 3+ years of experience as a Data Science for mid-junior roles, and 5+ years for mid-senior roles. 
• Strong Data Science competencies supported by solid problem-solving skills. Deep understanding of big data analytics principles, including programming patterns, platforms, and BI. 
• Proven ability to insightful reports and hands on experience in machine learning.
• Experience working with SQL and Python. 
• Proficiency with statistical and econometric modelling.
• Confidence and experience presenting analytics work to diverse stakeholder groups, including senior leadership and executive-level audiences. 
• Fluency in English (C1–C2). 

BONUS POINTS IF YOU HAVE: 

• Knowledge of agile ways of working, optimization and recommendation methods.
• Marketing campaign acumen – targeting the right audiences with the right message at the right time.
• Interest in Gen AI and staying up to date with trends - our team has a lot of innovative projects, we’d be happy if you’ve experience designing Gen AI and conversational experience, but you will also have an opportunity to learn on the job. 
• Experience in consulting. 
• Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application.