At a Glance
- Tasks: Dive into advanced analytics and machine learning to drive data-driven decisions.
- Company: Join a forward-thinking Digital & Data team in a collaborative environment.
- Benefits: Enjoy private healthcare, generous leave, and a solid pension scheme.
- Other info: Flexible hybrid work model and opportunities for community engagement.
- Why this job: Make a real impact with cutting-edge tools like Python and PowerBI.
- Qualifications: Degree in data science or related field; experience in analytics and problem-solving.
The predicted salary is between 63000 - 77000 £ per year.
We are seeking an experienced Data Science consultant to join our Digital & Data team.
The role involves advanced analytics and machine learning to support data‑centric decision making in public and private sector organisations.
Responsibilities
- Work to agile best practices and collaborate cross‑functionally with multiple teams and stakeholders, applying technical skills to problem solve with clients and internal projects.
- Conduct whiteboard sessions and use asynchronous communication on Teams.
- Work on client sites or in our office, with hybrid work plan of at least two days per week.
- Use tools such as Data Bricks, Python, Py Spark, R, Excel, Palantir Foundry and Power BI to deliver scalable, high‑performance applications.
Qualifications
Essential requirements
- A degree, Masters or Ph D in data science, mathematics, operational research, physics, or statistics.
- Experience conducting analysis for evidence‑based decision making, designing and developing models and supporting data‑centric decision making.
- Experience translating business needs into analytical approaches and communicating findings to technical and non‑technical audiences.
- Experience across the full analytics and modelling lifecycle – problem formulation, exploratory data analysis, model design, build, testing and handover.
- Experience with Python, SQL, Excel and data visualisation tools.
- Experience leading and delivering solutions covering advanced analytics, algorithm design, operational research models, data engineering, big data/cloud platforms, or visualisation/dashboards.
- Problem‑solving mindset and strong curiosity.
- Nice to have
- Excellent stakeholder, project management and communication skills; consulting and advisory experience.
- Experience managing analytical solutions through product development lifecycle.
- Experience developing data and behavioural science propositions for client presentations.
Some UK roles require a UK security clearance.
All employees must undergo background checks and meet residency requirements (British citizen or 5 years continuous residency in the UK).
- Assessment Process
- Quick call with a Tech Recruiter to discuss the role.
- Round 1 – competency or technical interview (60 min).
- Round 2 – competency or technical interview (60 min).
- Final round – meeting with a PA leader, a mini case study and discussion around client‑centricity (60 min).
Benefits
- Private healthcare for you and your family.
- 25 days annual leave (plus a half day on Christmas Eve) and option to buy 5 additional days.
- Generous company pension scheme.
- Community and charity engagement opportunities.
- 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 age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity, political belief, veteran status, or any other identity factor.
We welcome applications from under‑represented groups.
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Advanced Data Analytics 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 Advanced Data Analytics in London
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We think you need these skills to ace Advanced Data Analytics 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.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Astro Studios, Inc.. 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 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.