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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.
Introduction
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 recognized 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 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, 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 Program, 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.
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, optimizing 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 optimization. Apply today and embark on an exciting journey in Advanced Analytics!
Responsibilities
- Lead the development of predictive models and data-driven solutions for business optimization.
- Collaborate with cross-functional teams to integrate data-driven insights into business strategies.
- Utilize optimization 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, 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 5 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)
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.
