Data Science & Functional AI Consultant

Description Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of 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 505,000 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. Visit us at . Job Description Your client’s eyes probably glaze over when you discuss in detail logistic regression, cluster analysis, neural nets and other segmentation models, but they certainly appreciate your uncanny ability to utilize those to lower their marketing costs and improve marketing effectiveness. Or perhaps they rely on you to provide analytics that stimulate sales, strengthen customer loyalty and generate purchases. If you’ve earned a reputation for your analytics expertise, Accenture may be the perfect place to take the next step in your career journey. Your Role Data Scientist As a Data Science professional, the individual will help drive sales and solutioning of data science/analytics engagements, manage and/or supervise project delivery, mentor teams, build new capabilities, support/contribute to thought leadership and building new skills. The candidate should be able to seamlessly work with Client teams in positioning data science/analytical capabilities and with help of them drive an deliver data science/analytics engagement. The successful candidate should have strong consultative, business and communication skills in addition to quantitative ability. As well as be exposed to the challenges of using statistics in a business setting, such as incomplete data, biased data, large data sets, low signal-to-noise ratios, high variance and multiple objective functions. Requires being creative and resourceful and will utilize traditional statistical methodologies as well as newer techniques from computational statistics and data mining and big data capabilities. YOUR EXPERIENCE: Degree in a relevant field like statistics, computer science or applied maths, physics or relevant subjects or 3+ years of experience in computer science, applied mathematics, or other quantitative/computational discipline. Strong background in statistical concepts and calculations 3+ years of experience with real data Innovative and strong analytical and algorithmic problem solvers 3+ years of experience with scripting languages (e.g., Python, Ruby, Perl, Bash) for orchestration and data manipulation 3+ years of experience with statistical computing tools like R, SAS, and SPSS Data engineering experience, including SQL and experience manipulating structured and unstructured data sources for analysis. Qualifications External Qualifications Experience in one or more statistical software packages such as R, SAS, SPSS, etc Experience in one or more programming languages such as Python, R, etc Experience in one or more machine learning solutions such as TensorFlow, IBM Watson, etc Experience in one or more tools for visualization such as Tableau, Qlik, D3, etc Good understanding of statistical modelling and machine learning Good understanding of machine learning techniques such as Neural Networks, Random Forest, etc Ability to meet travel requirements, when applicable Have a minimum of 3-5 years in relevant experience Have a minimum of Bachelor degree Professional Skill Requirements Proven success in contributing to a team-oriented environment Proven ability to work creatively and analytically in a problem-solving environment Desire to work in an information systems environment Excellent leadership, communication (written and oral) and interpersonal skills Entry or junior level positions are also available for candidates with less experience. You will also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law. About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 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 Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.