Advanced Data Analytics

Astro Studios, Inc.; Greater London; On-site; GBP 50,000 - 75,000; Full time

Benefits offered by this job

Private healthcare

25 days annual leave

Generous company pension scheme

Performance-based bonus

Job summary

Astro Studios, Inc. is looking for an experienced Data Science consultant to join their Digital & Data team in Greater London. This role involves utilizing advanced analytics and machine learning to support data-centric decision-making across the public and private sectors.

The ideal candidate should have a relevant degree or higher, experience in analytical processes, and a thorough understanding of tools like Python, SQL, Data Bricks, and PowerBI. The position offers a hybrid working model and comprehensive benefits including healthcare and annual leave.

Qualifications

• Experience in conducting analysis for evidence-based decision making.
• Ability to translate business needs into analytical approaches.
• Experience across the full analytics and modelling lifecycle.

Responsibilities

• Collaborate cross-functionally with teams to solve problems.
• Conduct whiteboard sessions and communicate via Teams.
• Work with clients in an office or on-site, hybrid setup.

Skills

Python

SQL

Data visualization tools

Problem-solving mindset

Education

Degree/Masters/PhD in data science, mathematics, operational research, physics, or statistics

Tools

Data Bricks

Excel

PySpark

PowerBI

Palantir Foundry

Job description

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, PySpark, R, Excel, Palantir Foundry and PowerBI to deliver scalable, high‑performance applications.

Qualifications

Essential requirements

• A degree, Masters or PhD 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.