At a Glance
- Tasks: Transform complex data into actionable insights and solutions for clients.
- Company: Join AtkinsRéalis, a leader in engineering services and innovation.
- Benefits: Enjoy competitive pay, flexible working, and tailored benefits for your lifestyle.
- Why this job: Make a real impact on global infrastructure and energy systems with cutting-edge data science.
- Qualifications: Experience in data science, analytics, and proficiency in Python or similar languages.
- 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 expertise in the full data project life cycle, 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.
Additional information:
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.
We are committed to creating a culture where everyone feels that they belong – a place where we can all be ourselves, 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. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability.
Data Science Consultant in Birmingham employer: SNC-Lavalin
Contact Detail:
SNC-Lavalin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Consultant in Birmingham
✨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. Attend industry meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, analyses, and visualisations. This will give you a competitive edge and demonstrate your expertise to 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 build your confidence and refine your answers.
✨Tip Number 4
Don't forget to apply through our website! We have a range of exciting roles that could be perfect for you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Data Science Consultant in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Science Consultant role. Highlight your expertise in data analysis, programming languages like Python, and any relevant projects you've worked on.
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 data-driven solutions in the past.
Showcase Your Communication Skills: Since this role involves client engagement, it's crucial to demonstrate your strong written and verbal communication skills. Use clear and concise language in your application to show us you can convey complex information effectively.
Apply Through Our Website: We encourage you to apply directly through our website. This way, you can ensure your application reaches us quickly and you'll have access to all the latest updates about the role and our company.
How to prepare for a job interview at SNC-Lavalin
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving data science. Be ready to discuss specific datasets you've worked with, the challenges you faced, and how you overcame them. This will show your analytical skills and your ability to turn complex information into actionable solutions.
✨Master the Art of Communication
Since this role involves client engagement, practice explaining technical concepts in simple terms. Prepare examples of how you've communicated results through visualisations or presentations in the past. This will demonstrate your stakeholder management skills and your ability to collaborate with both technical and non-technical users.
✨Showcase Your Technical Skills
Brush up on your programming languages, especially Python, and be ready to discuss your experience with machine learning frameworks like TensorFlow or PyTorch. If you have experience with data visualisation tools like Power BI, prepare to share how you've used them to enhance decision-making.
✨Stay Current with Trends
Research the latest trends in data science and AI, especially those relevant to the consulting environment. Being able to discuss emerging technologies will not only impress your interviewers but also show your commitment to continuous learning and professional development.