Digital – Data Scientist
| Company Name: | Oliver Wyman |
| Employment Type: | Full Time |
| Location: | Dubai |
| Experience: | 1+ years |
| Degree: | Bachelor |
| Gender: | Any |
| Age: | Any |
| Nationality: | Any |
| Salary: | Unspecified |
| No. Of Vacancies: | 1 |
| Job Description: |
| WHO WE ARE Oliver Wyman is a global leader in management consulting. With offices in 60 cities across 29 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 5,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a wholly owned subsidiary of Marsh & McLennan Companies [NYSE: MMC]. For more information, visit www.oliverwyman.com. Follow Oliver Wyman on Twitter @OliverWyman. Position Summary: Based within our OW Digital capability, a data scientist will work with other data scientists and consultants on client engagements to generate insights and drive fact-based decision making through programming in Python, SQL, Hive, developing visualization tools etc. A data scientist is expected to travel frequently to the client site for project delivery and will be interacting with counter-parts from clients for data gathering and alignment on insight generation Responsibilities: A Data scientist should be the reliable source of outputs for analytics projects. To fulfill this, he/she should be able to: structure data requests and perform data quality checks with supervision from a senior colleague acquire key required coding capabilities, primarily in Python and SQL, to fulfill common data treatment logically think through basic data issues around format and data quality Support development of data and modelling pipelines Develop basic predictive models e.g. using techniques such as linear regression, logistic regression, decision trees etc. with minimal guidance from colleagues Inclination develop analytical and programming approach to simple requests structure and set-up simple data-marts with some guidance from senior data science/consulting colleagues A Data scientist should also contribute to the overall growth and development of Data science and Digital Practice. To fulfil this, he/she should be able to: Support product development cycle by carrying out simple experiments using acquired data treatment and analysis techniques Document and standardize codes used for experiments A Data scientist should demonstrate proactivity in advancing their learning and professional growth by seeking coaching and mentoring from senior data science colleagues. Experience and Skills: Quantitative degree from a top school or previous relevant work experience Fluency in English (written and spoken) 1+ years of relevant experience with similar responsibilities Previous experience in management consulting is beneficial Proficient in Microsoft Office Applications: Outlook, Excel, Word and PowerPoint Knowledge of programming languages such as Python, SQL or any other advanced statistical analysis language is an advantage Any experience of developing visualizations in Power BI, Tableau Personal Attributes: Highly organized and structured Logical and lateral thinker Strongly motivated to perform, learn and improve Flexibility to accommodate frequent travel Proactively takes the initiative beyond the tasks assigned and is resourceful Team player, open-minded, possesses cultural awareness and sensitivity Good interpersonal skills Smart appearance, well-presented and professional OUR VALUES & CULTURE We’re serious about making OW a rewarding, progressive, enjoyable and balanced place to work. Self starters and free thinkers who work well in a team We are individuals who are self starting, motivated, energetic, entrepreneurial about what we do Common aspiration, collective endeavour, shared success We have the common aspiration to have an impact, leave a legacy and change the world. We have no interest in running a steady-state business. We want to build, grow and shape the environment around us Straightforward, open, respectful interaction We value an environment where every member of Oliver Wyman is encouraged and expected to voice his or her opinion Opportunity without artificial barriers We value merit and believe that to create a true meritocracy we need to remove artificial barriers to opportunity Balanced lives We value people whose lives balance work and non-work activities because we believe they are both more interesting colleagues and are able to make better contributions to the Firm. We push ourselves hard to deliver excellence, but we also work to extract the maximum benefit from the flexibility of a project-based business. We provide the ability to take career breaks for personal or family reasons. We fundamentally value each other’s time, and are sensitive to how it is used. We are an output not input-based culture, have respect for people’s personal decisions, and believe that one’s workload must be sustainable. We seek balance for ourselves and our colleagues |
