Data Scientist

Introduction

In this role, you’ll work in one of our IBM Consulting Client Innovation Centres (Delivery Centres), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centres offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You’ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you’ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground-breaking impact for a wide network of clients. Our culture of evolution and empathy centres on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

We Offer

• Regular and frequent promotion and progression opportunities to ensure you can drive and develop your career with us
• Feedback and checkpoints throughout the year; no one off annual reviews here
• A multitude of training opportunities from classroom to e-learning, mentoring and coaching programs as well as the chance to gain industry recognized certifications
• Diversity & Inclusion as an essential and authentic component of our culture through our policies and process as well as our Employee Champion teams and support networks
• A culture where your ideas for growth and innovation are always welcome
• Internal recognition programs for peer-to-peer appreciation as well as from manager to employees
• Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, 1 month paid paternity leave, 16 weeks fully paid maternity leave and an innovative maternity returners scheme
• More traditional benefits, such as 25 days holiday, a gym discount scheme, online shopping discounts, an Employee Assistance Program, a group personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future.
  
  

Your Role And Responsibilities

A Data Scientist with Advanced Analytics skills is a professional who leverages deep data and analytics expertise with strong business acumen to address business challenges. They utilize data preparation, analysis, and predictive modeling to forecast trends and suggest optimizations for improved business outcomes. The role requires proficiency in mathematical optimization, discrete-event simulation, rules programming, and predictive analytics. Key technologies include . This comprehensive skill set enables Data Scientists to effectively manage and analyze diverse data types and structures, ensuring data-driven decision-making and business optimization. Key skills encompasses proficiency in programming languages, particularly Python, and the use of development environments like PyCharm, VS Code, and Jupyter Notebooks. It includes expertise in data manipulation using tools such as Pandas, NumPy, and Dask, and data visualization with Matplotlib, Seaborn, and Plotly. Scripting abilities in shell scripting, along with experience in managing databases like SQL, MongoDB, Cassandra, PostgreSQL, and MySQL, are also included. Additionally, the skill set features knowledge of version control systems such as Git, GitHub, and GitLab, and continuous integration and deployment (CI/CD) tools like Docker, Podman, and Jenkins. Optimization skills are highlighted with tools like IBM CPLEX and Gurobi, and statistical analysis capabilities are demonstrated with SPSS, SAS, R, and Python. The professional is also familiar with machine learning, statistical modeling, and custom models in applications like supply chain management, pricing, risk assessment, and fraud detection

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

• Data Science
• Python
• SQL
• AWS
• Visualisation