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- Tasks: As a Data Scientist, you'll analyse data and create predictive models to drive business success.
- Company: Join IBM, a global leader in technology and consulting, known for innovation and collaboration.
- 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 diverse environment.
- Qualifications: A Bachelor's degree and skills in Python, SQL, and data visualisation are essential.
- Other info: Must have the right to work in the UK; no visa sponsorship available.
The predicted salary is between 50000 - 80000 £ per year.
Join to apply for the Data Scientist role at IBM
Join to apply for the Data Scientist role at IBM
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 the specific technologies mentioned in the job description, such as Python, SQL, and data visualisation tools like Matplotlib and Seaborn. Having hands-on experience or projects showcasing these skills can set you apart during interviews.
✨Tip Number 2
Network with current or former IBM employees on platforms like LinkedIn. Engaging with them can provide insights into the company culture and the role, and they might even refer you internally, increasing your chances of landing an interview.
✨Tip Number 3
Prepare for technical interviews by practising common data science problems and algorithms. Websites like LeetCode or HackerRank can help you sharpen your coding skills and get comfortable with the types of questions you might face.
✨Tip Number 4
Showcase your curiosity and problem-solving skills by discussing relevant projects or experiences during interviews. Be ready to explain how you approached challenges and what innovative solutions you implemented, as this aligns with IBM's emphasis on creativity and impact.
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: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to leverage data analytics to solve business challenges, and how you can contribute to IBM's mission.
Showcase Your Technical Skills: Include a section in your application that lists your technical skills, particularly those mentioned in the job description such as AWS, Pandas, NumPy, and Git. Providing examples of how you've used these tools in past projects can strengthen your application.
Highlight Continuous Learning: IBM values curiosity and a quest for knowledge. Mention any relevant courses, certifications, or self-directed learning you've undertaken in data science or related fields. This shows your commitment to professional growth and staying updated with industry trends.
How to prepare for a job interview at IBM
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in programming languages like Python and SQL, as well as your experience with data manipulation tools such as Pandas and NumPy. Be prepared to discuss specific projects where you've applied these skills.
✨Demonstrate Business Acumen
IBM values candidates who can connect technical expertise with business outcomes. Prepare examples of how your data analysis has led to actionable insights or optimisations in previous roles.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Practice articulating your thought process when faced with hypothetical data challenges, showcasing your analytical skills and creativity.
✨Emphasise Continuous Learning
Curiosity is key in this role. Share instances where you've pursued new knowledge or skills, whether through formal training or self-directed learning, to stay ahead in the rapidly evolving field of data science.
