Data & Analytics Data Engineer-Advanced Analytics - eSC or eDV Clearance Required Professional [...] in Cheltenham

At IBM Consulting UK FutureNow, 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. You’ll thrive in a flexible, inclusive environment that values curiosity, encourages reinvention, and recognises what makes you unique.

Benefits:

• Tools and policies to support your work-life balance such as 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 Program, life assurance and a group pension plan through salary sacrifice.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your role and responsibilities:

• Unleash your leadership potential as a Managing Data Engineer with Advanced Analytics expertise and drive the development of innovative advanced analytics solutions.
• 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.
• Utilise predictive analytics tools (SPSS) to draw conclusions and present findings.
• Stay abreast of emerging advanced analytics trends and technologies, driving innovation within the organisation.

Required education: None

Preferred education: Bachelor's Degree

Required technical and professional expertise:

• 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, NumPy, Dask).
• Strong leadership and communication skills.
• Ability to lead cross-functional teams and manage stakeholder expectations.

Preferred technical and professional experience:

• Experience with machine learning frameworks (TensorFlow, PyTorch, 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.

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).

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

IBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.