Descripción Del Puesto

Accenture is a leading global professional services company, providing a broad range of services at scale in strategy and consulting, interactive, technology and operations, with digital capabilities across all off these services. We combine unmatched experience and specialized capabilities across more than 40 industries – powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. With 513,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Working closely with clients our Strategy & Consulting professionals help transform the world’s leading organizations, working across the C-suite to capitalize on disruption, enable competitiveness, and drive growth and profitability via continuous innovation.

Applied Intelligence helps our clients grow their business in entirely new ways. Artificial Intelligence and Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships.

The Barcelona Innovation Centre has been at the forefront in helping clients from around the globe and across industries under the umbrella of intelligent operations for the last 15 years. We develop cutting-edge assets and solutions to reduce costs and improve supply chain processes, such as optimization of stock levels, demand planning and forecasting, automated warranty solutions, and predictive asset maintenance.

Our team is composed of over 90 data scientists and Data Engineers with specialized background in Supply Chain & Operations, 20% of which are PhD’s in the areas of Mathematics, Computer Science, Physics or Statistics. All that knowledge, combined with Accenture’s business experience, fosters an environment that allows us to quickly react to changing business conditions and provide tailored solution for our client’s needs.

Come and work at the heart of change

We are looking for an experienced Data Engineer. A talented, fun, collaborative person willing to bring added knowledge to our Healthcare Research and Innovation Analytics Group. If you thrive working with top clients in the evolution of their data & AI journey… then, we’d like to meet you!

Your work:

H&LS AAI EU – working for our top clients in the healthcare practice in the evolution of their core systems and the implementation of new digital architectures. Our clients are belonging to the Health and Life Science industries and our services/projects can be transformational for all the company or focused on a particular area (R&D, Precision Health, Marketing, Patient services, etc.)

Your role:

Data scientists drives new data insights to uncover business opportunities & revenue streams. The role has a firm understanding of statistics and data visualization for communication, as well as an understanding business growth areas & how to utilize important data. The role is also responsible for identifying new analytic trends/data needs and repeatable analytic solutions. Works with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions.

Key Responsibilities

  • Use Python and the vast array of AI/ML libraries to analyse data and build statistical models to solve specific business problems.

  • Improve upon existing methodologies by identifying new data sources, testing model enhancements, and fine-tuning model parameters.

  • Collaborate with researchers, software developers, and business leaders to define product requirements and deliver proof-of-concept solutions quickly.

  • Contribute directly to the design and development of automated selection systems.

  • Track the performance of and maintain models once they are deployed into production.

  • Collaborate with data engineers to design and execute replicable data acquisition and utilization processes.

  • Turn ideas into actionable designs and deliver solutions to end users and be able to persuade internal and external clients

  • Communicate verbally and in writing to business customers and the leadership team with various levels of technical knowledge as well as sharing insights and recommendations

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Key Skills

  • Bachelor's degree (or higher) in Statistics, Applied Math, Operations Research, Engineering, Computer Science, or a related quantitative field.

  • Fluency with scripting languages such as Python and data manipulation/analysis libraries such as Scikit-learn and Pandas.

  • Experience in ML modelling

  • Experience in the end-to-end lifecycle of a DS project: data gathering, pre-processing, modelling, evaluation, and deployment

  • Experience in Python (plus) or R

  • Experience in SQL

  • Experience in Cloud (AWS plus)

  • Experience leading large-scale data projects and pushing production quality code, including deploying and assessing efficacy of a wide array of Machine Learning models in production environments.

  • Experienced in handling large data sets and databases using SQL in a business environment.

  • Superior verbal and written communication skills with the ability to effectively advocate technical solutions to scientists, engineering teams, and business audiences.

  • Comfortable working in a dynamic, solutions- and research-oriented group with several ongoing concurrent projects and associated deadlines.

  • Demonstrable track record of dealing well with ambiguity, ability to self-motivate, prioritizing needs, and delivering results in a fast-paced, innovative environment.

Preferred Qualifications

  • Experience in health analytics

  • Experience in digital health / precision health , e.g. ideally:

    • ML for genomic sequence 

    • AI techniques to understand genotypes and phenotypes in existing diseases, improve the quality of patient care, enable cost-effectiveness, etc.

  • Some experience in dealing with business stakeholders

What’s in it for you:

Join the Health Data Analytics Group for a challenging and rewarding career where the variety of opportunities and projects allows you to develop your potential and grow professionally every day. The only place where you can learn from our unrivalled experience, working alongside over 100 data scientists and Data Engineers, 20% of which are PhD’s in the areas of Mathematics, Computer Science, Physics or Statistics.

We offer a competitive salary, an extensive benefits package which includes extra vacations days per year, medical and life insurance, learning opportunities and much more!

Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, grado de discapacidad, estado de veterano, orientación sexual, identidad o expresión de género, información genética, estado civil, estado de ciudadanía o cualquier otro motivo o circunstancias protegidas por las leyes federales, estatales o locales.
Actualización Covid-19: La seguridad y el bienestar de nuestros candidatos, nuestra gente y sus familias sigue siendo una prioridad absoluta para nosotros. Hasta que las restricciones de movilidad lo permitan, las entrevistas continuarán realizándose virtualmente. 

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