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- Tasks: Transform complex data into actionable insights and solutions for clients.
- Company: Join AtkinsRéalis, a leading engineering services firm making a global impact.
- Benefits: Enjoy competitive pay, flexible working, and tailored benefits for your lifestyle.
- Why this job: Be at the forefront of data science, shaping decisions that change the world.
- Qualifications: Experience in data science, programming (Python), and strong analytical skills required.
- Other info: Collaborative environment with opportunities for professional growth and development.
The predicted salary is between 28800 - 48000 £ per year.
We are looking for a data science consultant with full‐cycle project life‐cycle expertise and a consulting mindset. This role blends understanding client needs and business challenges with designing and implementing end‐to‐end solutions. The ideal candidate will be analytical, curious, detail‐oriented, and skilled at working with large datasets to turn complex information into actionable solutions.
Your role:
- Eliciting user requirements through client engagement.
- Working with clients to integrate data best practice and governance into refined processes to support enhanced decision‐making.
- Handling, merging, cleaning, and modelling multi‐source data so that it can be further analysed.
- Applying a variety of data analysis and visualisation techniques from statistical and/or predictive modelling through to bespoke visualisation platform development.
- Developing and optimising data pipelines and workflows for efficient data processing.
- Collaborating with teams of technical and non‐technical users of various experience levels.
- Communicating results through compelling visualisations and presentations.
- Contributing to decision‐making that will lead to successful delivery of projects.
- Participating in external activities such as client engagement, conferences, and staying current with emerging technologies and trends in data science and AI.
Requirement to work at an AtkinsRéalis office or client office/site 3 days a week.
About You:
- Experience in data science, analytics, or data consultancy roles.
- Experience working in a consulting environment.
- Proficiency in at least one programming language, preferably Python.
- Experience in machine learning frameworks (e.g., scikit‐learn, TensorFlow, PyTorch).
- Experience in statistical analysis and modelling.
- Experience with data visualisation principles and tools (e.g., Power BI).
- Experience with cloud platforms, preferably Azure, and big data technologies (e.g., Databricks).
- Excellent communication and stakeholder management skills.
- Ability to work independently and manage multiple projects simultaneously.
Desirable Skills:
- Strong written and verbal skills, including client‐facing experience.
- Good organisational and analytical skills.
- Experience working with transportation data.
- GIS skills are preferable.
- Degree/Master's Degree in Mathematics, Computer Science, Statistics, Data Science, Artificial Intelligence, or a related field.
- Relevant certifications (e.g., DP‐900, AI‐900, DP‐100, PL‐300, AI‐102) are a plus.
Reward & benefits:
Explore the rewards and benefits that help you thrive – at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life.
About AtkinsRéalis:
We are AtkinsRéalis, a world‐class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We are committed to leading our clients across our various end markets to engineer a better future for our planet and its people.
Security clearance:
This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer.
Equal Opportunity Statement:
As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. We are committed to creating a culture where everyone feels they belong, can thrive and develop to be the best we can be. We offer a range of family‐friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees.
Data Science Consultant in London employer: AtkinsRéalis
Contact Detail:
AtkinsRéalis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Consultant in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. A friendly chat can lead to referrals or insider info about openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, analyses, and visualisations. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your thought process and problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be one step closer to joining a fantastic team at AtkinsRéalis!
We think you need these skills to ace Data Science Consultant in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Science Consultant. Highlight your experience with data analysis, programming languages like Python, and any relevant projects that showcase your consulting mindset.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've tackled client challenges and delivered end-to-end solutions in previous roles.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include examples of how you've used statistical analysis, machine learning frameworks, or data visualisation tools in real-world scenarios to solve problems.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and for you to stay updated on your progress!
How to prepare for a job interview at AtkinsRéalis
✨Know Your Data Science Stuff
Make sure you brush up on your data science knowledge, especially around the tools and techniques mentioned in the job description. Be ready to discuss your experience with Python, machine learning frameworks, and data visualisation tools like Power BI. This will show that you’re not just familiar with the concepts but can also apply them effectively.
✨Understand Client Needs
Since this role involves a lot of client engagement, think about how you can demonstrate your ability to elicit user requirements. Prepare examples from your past experiences where you successfully identified client needs and translated them into actionable solutions. This will highlight your consulting mindset.
✨Showcase Your Communication Skills
You’ll need to communicate complex data insights clearly, so practice explaining your past projects in simple terms. Use visuals if possible to illustrate your points. This will help you convey your findings effectively during the interview and show that you can engage both technical and non-technical audiences.
✨Be Ready for Scenario Questions
Expect scenario-based questions that test your problem-solving skills. Think about how you would handle merging and cleaning multi-source data or optimising data pipelines. Prepare to walk through your thought process step-by-step, as this will demonstrate your analytical skills and attention to detail.
