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- Tasks: As a Data Scientist, you'll analyse data and create predictive models to solve business challenges.
- Company: Join IBM, a global leader in technology and consulting, driving innovation across industries.
- Benefits: Enjoy flexible working, generous leave policies, training opportunities, and a supportive work culture.
- Why this job: Make a real impact with cutting-edge technology while growing your career in a collaborative environment.
- Qualifications: A Bachelor's degree and skills in Python, SQL, and data visualisation are essential for this role.
- Other info: This is a full-time position based in the UK; visa sponsorship is not available.
The predicted salary is between 28800 - 48000 £ per year.
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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.
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
As an equal opportunities’ employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship and have no future plans to do so. You must be a resident in the UK and have been living continuously in the UK for the last 10 years. You must be able to hold or gain a UK government security clearance.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Engineering and Information Technology
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Industries
IT Services and IT Consulting
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Data Scientist employer: IBM
Contact Detail:
IBM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with IBM's culture and values. Understanding their emphasis on curiosity, collaboration, and innovation will help you align your conversations and demonstrate that you're a good fit for their team.
✨Tip Number 2
Network with current or former IBM employees, especially those in data science roles. They can provide valuable insights into the interview process and what skills are most valued in the company.
✨Tip Number 3
Prepare to discuss specific projects where you've applied your data science skills. Be ready to explain your thought process, the tools you used, and the impact of your work on business outcomes.
✨Tip Number 4
Stay updated on the latest trends in data science and AI technologies. Being knowledgeable about current advancements will not only impress your interviewers but also show your commitment to continuous learning.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Scientist role at IBM. Focus on your proficiency in Python, SQL, and data visualisation tools, as well as any experience with machine learning and statistical modelling.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of IBM's mission. Mention specific projects or experiences that demonstrate your ability to solve business challenges using data analytics.
Highlight Relevant Projects: Include any relevant projects in your application that showcase your skills in data preparation, analysis, and predictive modelling. Use quantifiable results to illustrate your impact and effectiveness in previous roles.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in a Data Scientist role.
How to prepare for a job interview at IBM
✨Showcase Your Technical Skills
As a Data Scientist, you'll need to demonstrate your proficiency in programming languages like Python and SQL. Be prepared to discuss specific projects where you've used tools such as Pandas, NumPy, or visualisation libraries like Matplotlib. Highlighting your hands-on experience will set you apart.
✨Understand the Business Context
IBM values candidates who can connect data insights to business outcomes. Research the company’s recent projects or innovations and think about how your skills can contribute to their goals. This shows that you're not just a techie but also understand the bigger picture.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your analytical thinking. Practice explaining your thought process when tackling complex data problems. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Emphasise Continuous Learning
Curiosity is key in this role. Be ready to discuss how you stay updated with the latest trends in data science and AI. Mention any courses, certifications, or personal projects that showcase your commitment to learning and growth in the field.
