At a Glance
- Tasks: Join our team to solve real-world data problems and deliver impactful solutions.
- Company: Fast-growing consultancy at the forefront of technology and analytics.
- Benefits: Flexible remote work, mental health support, and continuous learning opportunities.
- Why this job: Be part of a dynamic team that values creativity and collaboration.
- Qualifications: Experience in Python or R, with a strong analytical mindset.
- Other info: Enjoy a supportive culture where your ideas are valued and growth is encouraged.
The predicted salary is between 36000 - 60000 £ per year.
All our office locations considered: Newbury, London (satellite) & Liverpool; OR Croatia (Å ibenik).
The Team
We’re Intuita - part of FSP Consultancy, a fast growing consultancy that’s making waves in both the consultancy and technology space! With our ambitious growth plans and a highly successful journey to date, we are looking for talented individuals to complement the team of experts we already have working across our business, becoming a pivotal part of our journey, to not just meet, but continuously exceed our client expectations!
The Role
We are looking for a bright, driven and hands-on Data Scientist to join our growing data consultancy. You will bring experience of various data science techniques in a real-world environment, as well as the ability to maintain strong client relationship skills and the natural inclination to take ownership of analytical problems. You will work both independently and collaboratively to provide high-quality solutions. As a key player within an already experienced and talented analytics and data science team, you are expected to provide clarity of thinking, data science modelling excellence, and exceptional quality to multiple deliveries. This role provides an exciting development path with exposure to each level of our organisation and opportunities to experience all elements of the project lifecycle, from inception through to delivery.
Key outputs for the role:
- Developing Approach and Plans: Detailed, thought-through analytical approaches to solving business problems, with a keen focus on client value.
- Detailed Analytical Outputs: Fit for purpose solutions to business problems such as ML models, Probabilistic models, and/or curated datasets that can be easily translated into actionable insights.
- Building Business Context: Drawing contextual conclusions and actions from analytics that are highly relevant and valuable to the end-client.
- Commercial Understanding: Able to relate to differing client business models, identification of business challenges from analytical investigation and/or demonstration of how analytical solutions can drive commercial value.
- Presentation of value add: Ability to present, illustrate and articulate the results of analytical work and the value created for end clients.
- Delivery Focused: Ability to ensure delivery is high value, on time and client focused. You must be equally comfortable working either as part of a team or displaying self-starter skills whilst working independently.
We have a strong ethos of accountability, quality and integrity at Intuita and like to work with people who believe in this too. We also really value collaboration and teamwork, working together to solve problems but always having fun along the way. We want you to bring your own personality and approach to the role, but you’ll also need:
Required Skills and Experience
- Technical Skills: Python or R (critical), Visualisation tools and packages (Power BI, Quick Suite, matplotlib etc) (highly desirable), Knowledge of data warehousing and cloud data platforms (highly desirable), CI/CD version control workflows (e.g. Git).
- Ideal Experience: Proven track-record of delivering high-quality data science solutions in a hands-on capacity, demonstrating a high level of critical thinking and problem-solving skills, Practical experience developing ML models, probabilistic models and curated datasets to solve business problems, Proven experience managing the full data science lifecycle, from feature engineering and design through to the build, test, and deployment of models, Experience monitoring and optimising the performance of models, A pragmatic and iterative approach to the full project lifecycle, with the ability to adapt to changing client requirements from inception through to delivery, Experience working with customer value, commercial and/or marketing data to drive commercial value for clients, Demonstrates strong commercial awareness and the initiative to tackle wider project or organisational challenges through advanced analytics, Experience presenting complex information and model outputs to a variety of stakeholders, Sound working knowledge of data protection and GDPR, Degree in a relevant field (e.g., Computer Science, Statistics, Mathematics, Economics or equivalent), Work within a large corporate setting with big data volumes is highly advantageous (e.g. financial services, telco, healthcare).
Required Characteristics:
- Proactive, dynamic, and driven by solving analytical problems, with a great eye for detail.
- Takes accountability and ownership of tasks, works with tenacity and confidence to find a way.
- An excellent communicator who can make sense of and communicate complex ideas.
- Ability to quickly understand client context and demonstrate expertise in their business.
- A relationship builder, with the ability to motivate and engage effectively to build trust with clients and colleagues.
- An interest in industry trends, emerging technologies, and client’s businesses.
If you don’t fit the above criteria exactly and are interested in working for us, get in touch anyway - we hire people, not job specs!
What’s in it for you?
- (Really) flexible and remote working - we don’t mind when, where or how you work; you are trusted to work in the way that suits you best.
- Genuine care and support for your health and wellbeing - free therapy sessions, financial education, birthday treats and much more.
- Incredible training and learning opportunities - you’ll be surrounded by the best in the business and encouraged to keep growing.
- Freedom and empowerment to own problems and explore new ideas - we allow our consultants to actually be consultants, not just bodies.
- A supportive, friendly team - we work hard and enjoy spending time together, whether it’s in-person at socials or via silly Slack conversations.
Senior Consultant - Data Scientist in Newbury employer: Intuita
Contact Detail:
Intuita Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Consultant - Data Scientist in Newbury
✨Tip Number 1
Network like a pro! Reach out to current employees at Intuita on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss Python, R, and any visualisation tools you’ve used. Be ready to showcase your problem-solving abilities with real-world examples.
✨Tip Number 3
Showcase your personality! Intuita values collaboration and fun, so don’t be afraid to let your character shine through during interviews. Share stories that highlight your teamwork and how you tackle challenges with a positive attitude.
✨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, it shows you’re genuinely interested in joining our team at Intuita.
We think you need these skills to ace Senior Consultant - Data Scientist in Newbury
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Consultant - Data Scientist. Highlight your experience with Python or R, and any relevant data science projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can add value to our team. Don't forget to mention your understanding of client needs and how you can help solve their problems.
Showcase Your Projects: If you've worked on any interesting data science projects, make sure to include them in your application. We love seeing practical examples of your work, especially if they demonstrate your ability to deliver high-quality solutions and insights.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Intuita
✨Know Your Data Science Stuff
Make sure you brush up on your data science techniques, especially in Python or R. Be ready to discuss your experience with ML models and how you've tackled real-world problems using data analytics.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've approached analytical challenges in the past. Highlight your critical thinking and how you’ve delivered high-quality solutions that added value to clients.
✨Understand the Business Context
Familiarise yourself with the types of businesses you might be working with. Be prepared to discuss how your analytical work can drive commercial value and solve specific business challenges.
✨Communicate Clearly and Confidently
Practice presenting complex information in a simple way. You’ll need to demonstrate your ability to communicate insights effectively to various stakeholders, so think about how you can make your points clear and engaging.