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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 ÂŁ per year.
At IBM CIC, we provide technical and industry expertise to a wide range of public and private sector clients in the UK. A career in IBM CIC means you’ll have the opportunity to work with leading professionals across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. You will get the chance to deliver effective solutions, driving meaningful business change for our clients, using some of the latest technology platforms. Curiosity and a constant quest for knowledge serve as the foundation to success here. You’ll be encouraged and supported to constantly reinvent yourself, focusing on skills in demand in an ever changing market. You’ll be working with diverse teams, coming up with creative solutions which impact a wide network of clients, who may be at their site or one of our CIC or IBM locations. Our culture of evolution centres on long‑term career growth and development opportunities in an environment that embraces your unique skills and experience.
We offer:
- Many training opportunities from classroom to e-learning, mentoring and coaching programs and the chance to gain industry recognised certifications
- Regular and frequent promotion opportunities to ensure you can drive and develop your career with us
- Feedback and checkpoints throughout the year
- 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 programmes 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 programmes, paid paternity leave, maternity leave and an innovative maternity returners scheme
- More traditional benefits, such as 25 days holiday (in addition to public holidays), private medical, dental & optical cover, online shopping discounts, an Employee Assistance Programme, life assurance and a group personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future.
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.
Your role and responsibilities
Embark on an exciting career path as a Senior Data Scientist and lead the way in leveraging deep data and analytics expertise to address business challenges. In this role, you’ll be responsible for driving data‑driven decision‑making, optimising business processes and fostering a culture of innovation. Join our AI Analytics & Data Science team and make a significant impact on data‑driven decision‑making and business optimisation. Apply today and embark on an exciting journey in Advanced Analytics!
Responsibilities
- Lead the development of predictive models and data‑driven solutions for business optimisation.
- Collaborate with cross‑functional teams to integrate data‑driven insights into business strategies.
- Utilise optimisation tools (IBM CPLEX, Gurobi) and statistical analysis packages (SPSS, SAS, R, Python) to derive actionable insights.
- Stay up‑to‑date with emerging data science trends and technologies.
Preferred education:
Bachelor\’s Degree
Required technical and professional expertise
- Strong proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch or Keras
- In‑depth understanding of foundation models and large language models
- Familiarity with cloud platforms (AWS, Azure, GCP) and related services
- Excellent communication, leadership and problem‑solving skills
- Proven track record of delivering AI solutions in a professional setting
As an equal opportunities employer, we welcome applications from individuals of all backgrounds. However, 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 five years. You must be able to hold or gain a UK government security clearance.
Preferred technical and professional experience
- Experience with generative AI models
- Knowledge of modern UI frameworks (Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, jQuery)
- Familiarity with relational and NoSQL databases (SQL, Postgres, DB2, MongoDB)
- Understanding of various operating systems (Linux, Windows, iOS, Android)
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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.
