Junior 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.

Junior Data Scientist

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.
Key responsibilities
Use appropriate statistical techniques to develop appropriate analytic solutions for informing customer acquisition and customer retention strategies
Work on multiple analytic projects such as user segmentations, user engagement to purchase funnel analysis, user life time value analysis
Provide data, insights and reporting support to various teams
Drive the collection of new data and the refinement of existing data sources
Prepare data for statistical analysis and machine learning algorithms
Maintain and advance analytic database. Conduct periodic data QA

Qualifications
Minimum bachelor's degree from a university of repute, MBA degree would be an asset
Collage background 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
Knowledge of Python, SAS Enterprise Guide, SAS Enterprise Miner, SAS Data Integration Studio, Teradata, SQL Server, Oracle
Interested/ Background experience in: Retail, Consumer Products marketing, Network, Supply Chain, eCommerce, Banking, Finance, Digital marketing
Ability to apply analytical techniques to a wide variety of data
High levels of logical thinking & problem solving skills
Ability to multi-task and prioritize multiple projects, deadlines and responsibilities
Ability to organize material and complete writing assignment according to established standards regarding clarity, conciseness, style and terminology
Capable of dealing with all levels of management, client executives, and client representatives
Experience in data extraction, data cleansing, data profiling and manipulation for reporting
Familiarity with Microsoft Office suite (Word, Excel)
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
Excellent English communication skills (written & spoken) and good level of the other foreign language (German, Spanish, Italian) would be an asset

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.