At a Glance
- Tasks: Lead teams in shaping and launching innovative data & analytics solutions for energy and utilities.
- Company: Join a global consultancy focused on ingenuity and positive human impact.
- Benefits: Enjoy health perks, 25 days leave, a generous pension scheme, and performance bonuses.
- Other info: Hybrid working model with opportunities for community involvement and personal growth.
- Why this job: Make a real difference by tackling complex digital challenges in the energy sector.
- Qualifications: 10+ years in data science leadership with strong stakeholder engagement skills.
The predicted salary is between 75600 - 92400 £ per year.
We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands.
What You Can Expect
- Be part of our management team, build and lead teams to help shape and launch new data & analytics propositions and drive strategic business growth.
- Lead business development initiatives — building trusted client relationships, owning outcomes, and delivering innovative, high-impact solutions.
- Guide our energy and utilities clients through complex digital & data challenges, combining strategic insight with technical expertise.
- Support our team’s growth through technical leadership, coaching, knowledge-sharing, and creating opportunities for them to thrive.
- Contribute to thought leadership and market offerings that position PA at the forefront of digital innovation in consumer.
Qualifications
- 10+ years of experience in data science leadership and/or consulting roles, ideally within energy, utilities or infrastructure sectors (E&U).
- Experience leading AI, advanced analytics, data and/or digital capability development to design, build, deploy & scale data analytics products and solutions.
- Strong leadership skills with experience managing teams and delivering complex, high-value programmes and projects.
- An established network of senior stakeholders in the Energy, utilities or infrastructure sectors and/or data and technology industry, with a proven ability to build and grow long-term client relationships and partnerships.
- Commercial acumen with a track record of developing and selling consulting or data-driven analytical propositions or products.
- Excellent communication and stakeholder engagement skills, with the ability to influence at senior level.
- A deep understanding of analytics, data, AI, digital technology and solutions landscape.
- A degree, Masters or PhD from a leading university in data science, mathematics, operational research, physics, or statistics.
- Desirable experience in the software or product development lifecycle for analytical solutions, e.g. could include managing analytical solutions across the discovery, development/prototype, rollout, implementation and managed service stages.
- Existing relationships and proven track record delivering work in the water, electricity, gas, nuclear or infrastructure sectors.
Additional information
Please note that the interview stages may be subject to change based on the specific requirements of the role. Introductory Call with one of our senior Talent Acquisition partners to explore your background, the opportunity and PA. Round 1: 3x competency interviews, allowing you to meet different members of PA. Final Round: Business plan presentation with PA leaders – you will be given guidance and time to prepare in advance.
Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples’ working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world’s most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well-being of our people.
Check out some of our extensive benefits:
- Health and lifestyle perks accompanying private healthcare for you and your family.
- 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days.
- Generous company pension scheme.
- Opportunity to get involved with community and charity-based initiatives.
- Annual performance-based bonus.
- PA share ownership.
- Tax efficient benefits (cycle to work, give as you earn).
We’re committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups.
Hybrid Working - Our approach is to be in the office or on client site a minimum of 2 days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on client site.
Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.
Managing Consultant - E&U - Data Science in London employer: Astro Studios, Inc.
At PA Consulting, we pride ourselves on being an exceptional employer, offering a dynamic work environment at our Global Innovation and Technology Centre in Melbourn, Hertfordshire. Our culture fosters collaboration and innovation, providing employees with the autonomy to shape their roles while working on impactful projects that enhance patient outcomes. With a strong commitment to professional development and equality, we empower our team members to grow their expertise and advance their careers in a supportive and inclusive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Managing Consultant - E&U - Data Science in London
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We think you need these skills to ace Managing Consultant - E&U - Data Science in London
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 Astro Studios, Inc., 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.
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How to prepare for a job interview at Astro Studios, Inc.
✨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!
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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 Astro Studios, Inc.!
✨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.
