Applied Data Scientist, IntelliSense.io
Predictive analytics for the mining and metal industry
Be an early applicant
Predictive analytics for the mining and metal industry
21-100 employees
Be an early applicant
21-100 employees
Company mission
To empower people and machines to make better and more reliable decisions.
Role
Who you are
- Are you curious, collaborative, and excited by solving complex problems?
- We're looking for an accomplished Applied Data Scientist who thrives on intellectual challenge, enjoys working with a diverse team, and wants to use their skills to make a meaningful impact
- If you love data, science, and technology, and value inclusion and empathy in your work environment, we want to hear from you
- Develop, calibrate, and deploy models to real-world customer problems
- Work with noisy, limited, or messy datasets to extract insights
- Build fast, iterate often, and aim for production-grade quality
- Collaborate with remote colleagues across time zones
- Communicate ideas clearly to technical and non-technical audiences
- Identify new technologies and contribute to innovation
- We’re not looking for “perfect” candidates, we’re looking for authentic, driven, and adaptable people
- If you don’t meet every requirement, but believe you’d thrive in this role, please apply
- Has formal training in Mathematics, Physics, Computer Science, Engineering, or similar
- Has 3+ years’ relevant experience or a PhD in a related field
- Enjoys diving into hard problems and sharing knowledge with others
- Is comfortable with Python and common data science/machine learning tools
- Works independently and takes initiative
- Cares about doing work that is rigorous, inclusive, and impactful
- Is open to learning new technologies or approaches when the task calls for it
- Values communication, empathy, and teamwork
- Real-world industry experience is strongly preferred, as we’re looking for candidates who can apply advanced methods to practical, high-impact problems and navigate the complexity of real operational environments
- We welcome applications from both mid-level and senior professionals; however, due to the complexity of the role, it may not be suitable for recent graduates, as the successful candidate will be expected to solve complex problems independently and liaise directly with clients when appropriate
What the job involves
- You’ll be instrumental in creating and enhancing intelligent, data-driven models that help our customers better understand and optimise complex systems
- These may include physical process models or state-of-the-art machine learning tools
- Whether you come from academia, industry, or a different path altogether, we value the unique perspective you bring
- You don’t need to know all of these, but you’ll have a chance to learn and work with:
- Physical and empirical modelling of complex systems
- Machine learning for prediction and inference
- Optimisation and real-time decision engines
- Bayesian methods and uncertainty quantification
- Collaborative software development and production deployment
Our take
With climate change and sustainability a leading issue for many corporate executives, only 60% had strategies in place as of 2021. Intellisense.io is one company that bridges the gap for corporations between profits and climate impact.
Using industrial AI and machine learning, Intellisense.io analyses the processes and strategies of mining companies to help them become safer, more efficient, and transparent in their actions, all whilst simultaneously accelerating value. Inspired by the weather forecasting industry, the company focuses on minimising geological uncertainty and risk and reducing waste.
With debates around fracking becoming more immediate and the circular economy a massive draw for companies, Intellisense.io has an advantage over other industry-optimising businesses in that it speaks the language of mining companies. CEO and founder Sam Bose has been working in the carbon management sector for two decades and smartly translates the benefits of sustainable mining into “decision intelligence”, helping mining companies across the world see the positives of industry change through AI.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (1 round)
Jan 2016
$0.2m
GRANT
Total funding: $0.2m
Company benefits
- Unlimited Paid Annual Leave: Why count statutory holidays? We encourage people to manage their time like adults! Take the time off you need to recharge your batteries
- Generous Bonuses: Our bonuses include: Performance bonuses up to twice per tax year A very generous Employee referral bonus for every successful employee that you refer to the Team!
- Learning & Development: We are passionate about personal and professional growth: you will have plenty of opportunities to develop new skills and gain professional qualifications
- CEO Awards: Enjoy going the extra mile? Demonstrate outstanding performance or contributions and qualify for this prestigious recognition!
- Discretionary Share Options: Depending on availability, you may qualify for this scheme where you own a part of the company
- Working from Home and Flexible Hours: Do you prefer to work from your home office? Do you need to manage your time around family commitments? We can accommodate your needs!
- Generous Parental Leave: If you have childcare commitments and you are juggling work and family time, we've got your back!
- Birthday Gift Card: We celebrate your birthday with a gift voucher! (subject to tax restrictions in your country)
- Wellbeing: Mental Health and counselling support provided by professional cousellors and psychologists
Company HQ
Cambridge, UK
Leadership
Sam Bose
(Founder & CEO)Previously founded Aqua MW and Zogix. Also experienced as a Management Consultant at Deloitte and as an Analyst of Automotive Electronics at Motorola Manufacturing Systems.
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