Data Scientist

Filed under: Warszawa | IT

Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functionsunderpinned by the worlds largest delivery networkAccenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With approximately 373,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at

Accenture Operations is one of Accenture key capabilities dedicated to work on outsourcing engagements. These are long-term partnerships with clients for whom we manage and provide increasingly specialized business operations, such as finance and accounting, IT, applications development and maintenance, helpdesk services, and HR. We not only maintain key business functions for clients, we constantly seek to improve them to help our clients move ahead of the competition.
You will be part of Accenture Analytics as a Service Core team leading the team that identifies and develops advanced analytics statistical models/ machine learning methods and solutions for Accenture operations clients to improve various business outcome indicators. Objective of the team is to successfully develop, conceptualize and test Various Statistical models and also integrate the outcomes as a real time analytics to elevate the Accenture"s ability to create value for clients in areas and through means not immediately apparent to clients.

Data Scientist

Key responsibilities
Using appropriate statistical techniques to develop appropriate analytic solutions for informing customer acquisition and customer retention strategies
Developing appropriate methodology for analyzing and interpreting results from product features A/B testing
Working on multiple analytic projects such as user segmentations, user engagement to purchase funnel analysis, user life time value analysis
Providing data, insights and reporting support to various teams
Driving the collection of new data and the refinement of existing data sources
Preparing data for statistical analysis and machine learning algorithms
Maintaining and advancing analytic database as well as conducting periodic data QA
Working with technical and non-technical customers to design experiments and communicating statistical results
Leading training and informational sessions on statistics

Qualifications
Minimum bachelor's degree from an university of repute, MBA degree would be an asset
4+ years of overall experience in the area of statistical modelling and machine learning
Deep knowledge of SAS. Other tools like SQL, R, S-plus, STATA, Map/Reduce, Hadoop, Hive and other data management tools will be an asset
Experience in any of the domains: Retail, Consumer Products marketing, Network, Supply Chain, F&A, Procurement, Life Science, eCommerce, Banking, Finance, Health Care, Human Resources, Digital marketing
A solid grounding in applied statistics including expertise in at least one of the following is a must: Reliability models, Markov Models, Stochastic models, Bayesian modeling, classification models, cluster analysis, neural network, non-parametric methods, time series analysis, forecasting and multivariate statistics
Extensive experience solving business problems using quantitative approaches
Experience in building and deploying business relevant analytics assets
Ability to deal with stress of competing priorities and diverging interests within the same immediate time frame
High energy level and be able to effectively work with various cross functional teams
Good verbal and written communication skills and an ability to work in a team environment
Excellent English communication skills (written & spoken) and good level of the other foreign

We offer
The ability to use your knowledge of foreign language on a daily basis at work (we serve our Clients in almost 30 foreign languages)
Experience with a range of Clients and technology solutions which provides professional relevance
Operating according to Lean Six Sigma philosophy
Collaborating and learning from diverse and talented colleagues helps you "raise your game"
Trainings and development tailored to help you achieve your potential
New Joiners Programme including trainings
Opportunity to engage in Corporate Social Responsibility initiatives
We also think about your social life, at Accenture you will be able to take part in different initiatives like Book Club, International Cuisine Club, Accenture Runners Club, family events, cultural meetings, photography classes, climbing, soccer, swimming and many others
Social benefit packages including: private medical care, Sodexo vouchers, Benefit sport club cards, life insurance
Friendly work atmosphere in multicultural environment

W dokumentach aplikacyjnych prosimy zamieścić oświadczenie o następującej treści:
"Wyrażam zgodę na przetwarzanie danych osobowych zawartych w mojej ofercie pracy przez Accenture Sp. z o.o. lub inny podmiot grupy Accenture w celach rekrutacyjnych oraz na umieszczenie i przetwarzanie przekazanych przeze mnie danych osobowych, również po okresie rekrutacji, w bazie danych firmy Accenture Sp. z o.o., z siedzibą w Warszawie, 00-121, przy ul. Siennej 39, lub innego podmiotu grupy Accenture, a także na ich przekazywanie do państw trzecich w ramach grupy Accenture, zgodnie z Ustawą o Ochronie Danych Osobowych z dnia 29 sierpnia 1997 r. (Dz.U. z 2002 r. Nr 101, poz. 926 ze zm.). Powyższe dane podaję dobrowolnie. Zostałem (-am) poinformowany (-a) o prawie dostępu do treści danych oraz możliwości ich poprawiania."
Accenture nie dyskryminuje kandydatów ze względu na rasę, religię, kolor skóry, płeć, wiek, niepełnosprawność, narodowość, przekonania polityczne, przynależność związkową, pochodzenie etniczne, wyznanie, orientację seksualną, lub jakiegokolwiek inne kryterium niedopuszczalne na podstawie polskiego prawa.