At a Glance
- Tasks: Lead advanced analytics solutions and mentor junior engineers while tackling complex business challenges.
- Company: Join IBM Consulting UK FutureNow, a leader in hybrid cloud and AI.
- Benefits: Enjoy flexible working, 25 days holiday, and comprehensive health coverage.
- Other info: Dynamic environment with opportunities for continuous learning and career progression.
- Why this job: Make a real impact with cutting-edge tech and grow your career from day one.
- Qualifications: Experience in data engineering, programming (Python, R, SQL), and strong leadership skills.
The predicted salary is between 56700 - 69300 £ per year.
Описание
At IBM Consulting UK Future Now, you’ll build a career at the forefront of hybrid cloud and AI, working with leading clients across the public and private sectors.
You’ll collaborate with top industry professionals, gain hands on experience with cutting edge technologies, and deliver solutions that create real business impact.
From day one, you’ll work on meaningful, high profile programmes that stretch your skills and accelerate your growth.
We invest heavily in you—supporting continuous learning, in demand skills development, and long term career progression.
Задачи
Develop and lead cutting-edge advanced analytics solutions for complex business problems.
Mentor junior data engineers, providing guidance and support in their professional development.
Perform statistical analysis, data collection, data mining, and text mining.
Design, build, and manage solutions for advanced analytics projects.
Utilize predictive analytics tools (SPSS) to draw conclusions and present findings.
Stay abreast of emerging advanced analytics trends and technologies, driving innovation within the organization
Требования
Extensive experience with data engineering principles and advanced analytics techniques.
Proficiency in programming languages (Python, R, SQL).
Experience with data manipulation and analysis tools (Pandas, Num Py, Dask).
Strong leadership and communication skills.
Ability to lead cross-functional teams and manage stakeholder expectations.
This role is subject to pre-employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS).
An additional range of Personal Security Controls referred to as National Security Vetting (NVS) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV).
- Будет плюсом
- Bachelor's Degree
- Experience with machine learning frameworks (Tensor Flow, Py Torch, scikit-learn)
- Familiarity with big data technologies (Hadoop, Spark)
- Background in data science, IT consulting, or a related field
- AWS Certified Big Data or equivalent
- Demonstrated leadership and mentoring skills
- Publication record in peer-reviewed journals or reputable industry publications
- Условия
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 pension plan through salary sacrifice.
- flexible working approaches
- sabbatical programs
- paid paternity leave
- maternity leave
- an innovative maternity returners scheme
- 25 days holiday (in addition to public holidays)
- private medical
- dental & optical cover
- online shopping discounts
- an Employee Assistance Program
- life assurance
- a group pension plan through salary sacrifice
- #J-18808-Ljbffr
Data engineer in advanced analytics employer: IBM
IBM is an exceptional employer for a Senior AI Data Scientist, offering a dynamic work environment that fosters innovation and collaboration. With a strong emphasis on mentorship and professional growth, employees are encouraged to develop their skills while working on impactful AI projects that serve both public and private sectors. The flexible hybrid work model in the UK further enhances work-life balance, making IBM a desirable place for those seeking meaningful and rewarding employment.
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We think this is how you could land Data engineer in advanced analytics
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We think you need these skills to ace Data engineer in advanced analytics
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at IBM, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at IBM. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at IBM
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at IBM!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
