Title: Data Scientist

Budget: £550 p/d

Job Type: Contract

Duration: 12-months

Location: Fully remote (UK only)

Start date: Immediately

IR35: Outside

You will work in the Insurance AI space.

Essential Skills & Experience

• Solid grounding in machine learning methods – supervised and unsupervised learning, including deep learning, Bayesian inference and frequentist methods, time series analysis using RNNs and state space models. Application of genetic algorithms and optimisation.
• Python with Machine Learning focus.
• ML libraries such as: pandas, scikit-learn, tensorflow, Keras etc
• Google Cloud Platform Ecosystem

Desirable Skills & Experience

• Java, Matlab, Mathematica, Javascript
• Background in Financial Services

Interview Process

• Tech screen
• Code test

Job Types: Full-time, Fixed term contract, Temporary contract, Freelance
Contract length: 12 months

Salary: £550.00 per day

Schedule:

• Monday to ID: DTR- 155

We are looking for a Data Scientist to join our growing product and data team based either remotely or in central London.

Link Humans is a data-driven research firm with a clear mission: To make the world of work a better place. We help Fortune 500 companies understand their employer reputation to attract and retain the best talent.

Responsibilities

• Improve Data Processing & Automation capabilities
• Building, training, and deploying NLP Models
• Building tools to support data analysts
• Maintaining and improving existing models

Required skills

• Proficient with Python
• Hands-on experience with Machine Learning frameworks (like scikit-learn, Tensorflow or PyTorch)
• Experience with NLP libraries (like NLTK, spaCy, openNLP, Stanford-NLP, WordNet)
• Has built an NLP program either as part of a course or professionally
• Proficient experience with word embeddings
• Experience or knowledge of Google Colab
• Experience or knowledge of Google cloud platform and AWS would be beneficial but not required
• Ability to work independently.

Job Types: Full-time, Permanent, Graduate

Salary: £25,000.00-£30,000.00 per year

Additional pay:

• Bonus scheme

Benefits:

• Additional leave
• Casual dress
• Company pension
• Discounted or free food
• Flexible schedule
• Sick pay
• Work from to Friday

Job Title: Data Scientist

About Specifi:
Specifi is an award-winning Software as a Service (SaaS) platform tailored for AV integrators. Entering our third year in business, we pride ourselves on innovation, employee and customer satisfaction, and delivering unparalleled value to our customers. We focus on simplifying our customers’ jobs and enhancing their professionalism to help them secure more projects. Our close-knit team thrives in a relaxed and fun atmosphere where every opinion matters, and out-of-the-box thinking is encouraged. We mentor and train all our employees, fostering their development and success.

Position Overview:
We are now looking to enhance our AI functionality across our platform and are seeking a dedicated, enthusiastic, and AI-obsessed data scientist to drive our AI integration forward. The successful candidate will be responsible for developing and implementing AI-driven solutions to enhance our business processes.

Key Responsibilities:

• Design and develop AI models and algorithms to improve various business functions.
• Implement machine learning and natural language processing (NLP) solutions to automate and optimize processes.
• Analyze large datasets to extract actionable insights and improve AI models.
• Collaborate with software developers to integrate AI functionalities into our platform.
• Monitor and optimize the performance of AI models.
• Stay updated with the latest AI trends and technologies.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Proven experience in developing and deploying AI models.
• Strong programming skills in Python and experience with AI frameworks such as TensorFlow or PyTorch.
• Experience with NLP and machine learning techniques.
• Ability to work collaboratively in a cross-functional team.
• Excellent problem-solving and analytical skills.

Preferred Skills:

• Experience with business management tools.
• Familiarity with data visualization tools.
• Knowledge of API integration and software development processes.

Why Join Us:

• Opportunity for professional growth and development.
• Collaborative and innovative work environment.
• Competitive salary and benefits.
• Be a part of an ambitious start-up with a focus on employee and customer satisfaction.

Note

• There will be a skills assessment and interview process to complete

Job Type: Full-time

Pay: £45,000.00-£60,000.00 per year

Benefits:

• Casual dress
• Company events
• Company pension
• On-site parking
• Private medical insurance
• Sick pay

Schedule:

• Monday to Friday

Education:

• Bachelor's (preferred)

Experience:

• NLP: 1 year Location: In person

The Position

As Easysoft, we’re one of the biggest names in the data access middleware market and we are funding a new start-up ([website]) to revolutionise and disrupt the burgeoning online betting industry. We are building a modern, distributed cloud-based trading platform based on cutting-edge technology that provides high performance, reliability, security and scalability at an unprecedented level.

We are seeking a professional Data Scientist / Statistician / Quantitative Analyst who will be involved in the process of creating and testing mathematical models and making sure that everything we produce meets the needs of the business. We’d like you to bring ideas – you’ll have the chance to analyse the way we work and use mathematical techniques and modelling to improve our performance and profitability.

We are a passionate, forward-thinking, innovative company where things are always happening. We’re looking for people who work quickly, are competitive self-starters, smart and do what is needed.

Responsibilities

• Design, develop, implement and maintain data models.
• Research and analyse market trends and statistics to make modelling decisions.
• Perform daily statistical analyses (e.g. risk analytics, pricing, default risk modelling, etc.) and coding tasks (e.g. data mining).
• Run models, look for exceptions and take corrective action.
• Build on knowledge of technology tools used to conduct analyses.
• Access technologies – extract and pre-process data for populating models.
• Build knowledge of our processes and betting products and from this determine which analyses methodologies and approaches best support the performance, risk or valuation of our product.
• Communicate analytical results to developers, product managers and other stakeholders of the product.

Required skills

• First Class Honours or any Postgraduate degree in a numerate subject e.g. Maths, Stats, Physics.
• Enjoy problem solving.
• Ability to stick to deadlines.
• Statistical programming language (preferably Python).
• General purpose programming languages experience - Go, or Python.
• Experience using databases
• Experience building mathematical models.
• Keen sports fan especially of Football or Horseracing.
• Interested in betting.
• Initiative and willingness to learn. Must be a self-starter with a strong attention to detail.

Benefits

• Highly competitive salary
• Flexible working hours
• Free parking
• Free soft drinks
• Pension scheme where if you contribute 7.5% we’ll top it up to 15%
• 25 days’ holiday plus bank holidays

Work remotely

• No

Job Types: Full-time, Permanent

Pay: £30,000.00-£50,000.00 per year

Schedule:

• Monday to Friday

Education:

• Master's (preferred)

Experience:

• Data Scientists & Statisticians: 1 year (preferred)

Work Location: In ID: ref 001

As a junior data scientist at Geospatial Insight, you will work within our software team with the primary role of enhancing Geospatial Insight’s geospatial data delivery and analytics software in the domain of atmospheric science and geointelligence.

We operate using cutting edge technology to maximise performance and minimise development overhead, therefore any candidate interested in the role must be up to date and remain up to date with the latest in data analysis technologies.

Principal Responsibilities:

· Develop solutions to help bolster the system with additional testing and redundancy

· Implement data science pipelines to either process or import atmospheric datasets

· Provide professional advice on technology evolutions and suggestions for future direction regarding the uptake of new technologies and software as they become available

· To support our other data scientists with activities as required to support the day-to-day operation

Essentialknowledge, skills and requirements:

• Python
• MySQL and/or PostGreSQL
• Experience of using git
• CI methodologies and implementation

Desirable knowledge, skills and requirements:

• Experience of working in a development team in an agile environment.
• Experience with atmospheric models
• Experience with remote sensing solutions (ie. QGIS)
• Experience with geospatial data processing
• At least 1 year of commercial experience
• Docker
• Google Cloud Platform
• Linux (Ubuntu)
• Gitlab CI

About Geospatial Insight:

Geospatial Insight was established in 2012 by a number of highly experienced experts in the geospatial market with a vision to harness the full potential of earth observation in order to answer some of the toughest questions relating to the when’s, where’s and how much, that business’ face on a daily basis. By deriving real-world, actionable intelligence from remotely sensed data, we provide our clients with the timely and vital information that they need to make better business decisions.

To further develop our market disrupting products and services, Geospatial Insight are looking to strengthen the team by recruiting the brightest minds in the Machine Learning, Earth Observation and Software Development. By joining Geospatial Insight, you will be greeted by a working environment which fosters innovation and skill development, enabling you to position yourself at the cutting edge in your field.

We are proud to offer benefits such as a bonus schemes, flexible working, fitness memberships, ride to work scheme, remote working allowances and team building days. We take particular pride in cultivating a technically gifted, forward-thinking and rewarded workforce through collaboration with innovative universities, by supporting staff training and by providing free time to develop your own ideas.

Job Types: Full-time, Permanent

Salary: £25,000.00-£30,000.00 per year

Benefits:

• Casual dress
• Company events
• Company pension
• On-site parking
• Private medical insurance
• Sick pay
• Work from home

Schedule:

• Monday to Location: Hybrid remote in Birmingham

DATA Scientist

We are seeking a Data Scientist for our location at our site in Derby. This is an entry-level role so if you have recently graduated with a relevant degree, please consider applying!

ABOUT THE ROLE

As a Data Scientist you will be working as part of the Sales, Inventory & Operations Planning (SIOP) team at Incora delivering world class forecasting and inventory management solutions utilising advanced analytics & machine learning.

As a Data Scientist you will provide machine learning based forecasts of customer demand for parts and develop tools that aid better overall forecasting and impact analysis. As a Data Scientist you will be engaged with stakeholders in our various business domains with a mission to drive data science adoption creating added value within our company.

KEY Responsibilities

As a Data Scientist you will lead multiple data science projects right from initial problem statement formulation, data exploration & transformation to application of machine learning algorithms and integrating with existing business processes and systems in a live environment. Duties include:

• Provide data science-based solutions to business problems of varying complexity
• Apply data science & machine learning concepts and python development skills to develop machine learning models in diverse business domains such as Sales, Forecasting/Planning, Operational Optimisation and Supply Chain Improvements
• Maintain and continuously enhance the Incora Machine Learning Platform, including the extension of forecasting to other business units tackle business issues that require the application of advanced analytics.
• Contribute ideas and thoughts leading towards solutions to business problems
• Progress from initial ideas to solution development

ABOUT YOU

• Hold a Degree qualification with numerical content or equivalent
• Proven experience in management the full life cycle of projects in Data Science & machine learning
• Broad knowledge of multiple machine learning frameworks & algorithms
• Intermediate level knowledge of databases (Relational & non-relational) in the context of data science
• Intermediate level software development skills in Python for data science using best practice quality guidelines
• Intermediate level with Microsoft Office including Excel
• Strong analytical skills with accuracy and attention to detail
• Ability to demonstrator stakeholder management and leadership skills
• Experience in Forecasting & Inventory or SIOP management (desirable)
• Experience in supply chain and/or logistics environment (desirable)
• Cloud based computing environment (desirable)

ABOUT US

Incora is a leading, global provider of innovative supply chain solutions. Our promise to our customers is to reduce complexity and increase reliability so they can deliver mission-critical solutions that improve our world. We exist to enable the mission-critical.

With a strong foundation in the aerospace and defence markets, we also utilise our expertise to serve industrial manufacturing, marine, pharmaceuticals, and beyond. We manage all aspects of supply chain from procurement to warehouse management, from logistics to on-site customer services.

We pride ourselves on offering:

Industry-leading capabilities
Innovative solutions
Greater customer value
Trusted supplier relationships
Business growth and operational efficiency

Our people make us unique, and we offer an Outstanding Colleague Experience.

We live by our values: Courage, Collaboration and Commitment and are proud to add real value to our customers’ businesses. Our people-centric philosophy is underpinned with strong engagement, consistent communication, and opportunities for personal development, enabling our colleagues to grow and make a difference in our company.

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, gender, disability, religion/belief, sexual orientation, or age.

Job Types: Full-time, Permanent

Salary: From £31,460.00 per year

Additional pay:

• Performance bonus

Benefits:

• Company pension
• Cycle to work scheme
• On-site parking
• Private medical insurance

Schedule:

• 8 hour shift
• Monday to ID: VN2375

Projecting Success is changing the face of project management from the inside out. There are huge untapped opportunities to exploit the rich seams of data produced by the projects we deliver. From simple dashboards to AI, automation to forensic analysis. There is so much potential to make a difference.

In December 2017 we established the project data analytics community that has since grown to over 6,000 people. We run 6 Project: Hack events a year, and are also helping to set up 2 data trusts in the project delivery domain, which will be a world first. We are passionate about what we do and are helping to change multiple professions across multiple industries. By leveraging data and applying data science we are seeking to help society deliver more projects for less, with a higher degree of delivery confidence. We are helping to lead the way.

We are a small but growing company and we have bold ambitions. Our CEO is the Co-Chair of the Project Data Analytics Task Force and is helping to shape the future of this game changing discipline.

Job Role

We are looking for an experienced Data Scientist to work with Projecting Success to develop new capabilities and ways of working within Project Delivery organisations. We are currently working on some exciting projects for government agencies, private project owners and major contractors which have the potential to change how projects are delivered. You will be predominantly focussed on our innovative Data Trust projects, particularly within the Oil and Gas Sector.

You will sit in the technical team, and have responsibility for acting as the Data Science lead on the projects you are involved in. As a senior member of the team you will also have responsibility for the mentorship and line management of a small team of Data Scientist and Analysts. The preferred candidate will have previous line management or mentorship experience, and will be happy to provide mentorship to their team to aid their learning and development. The role may also involve interfacing with external clients and senior leaders in the business, so excellent communication skills will be of paramount importance.

This a varied and exciting role, and you will have technical experience in the following areas:

· Machine Learning (supervised & unsupervised learning paradigms, and theory behind common model classes)

· Python (including common data and ML packages)

· Azure (Databricks, Azure ML, Cognitive Services etc.)

· MLOps Processes (MLFlow preferred)

· Data Visualisation Tools (Power BI preferred)

More than experience with any specific tools or technologies, we are looking for someone with a passion for solving problems. Our work spans multiple industries and professions, with vast potential to implement positive change.

This is a remote position with periodic travel for our Hackathon events in London and workshops with clients. If you have experience working with project related data sets this would be a big plus, particularly in either the construction or energy sectors.

The core responsibilities of this role include:

· Work closely with Product Managers to decompose problem statements and design practical, valuable technical solutions to solve these.

· Development of Machine Learning and statistical solutions to derive insights from complex interlinked project datasets.

· Deployment of Machine Learning models into cloud-based production environments.

· Development of dashboards and data visualisations to present insights and analysis.

· Implementation of data security and privacy best practices across all work.

· Communication and presentation of technical concepts to both technical and non-technical audiences, internal and external.

· Line management and mentorship of a team of junior Data Scientists and Analysts.

· Maintaining an awareness of developments across the industry, and any new tools and technologies in your areas of expertise.

You will have the following underpinning skills, attitudes and behaviours:

· Logical thinker with a thorough and organised approach

· Strong analytical and problem-solving skills

· Ability to work independently and remotely, taking responsibility for your own work

· A self-starter who is disciplined and able to work to tight deadlines

· Trustworthy

· Ability to communicate effectively in a variety of situations, and work with a range of internal and external stakeholders

· Maintain a productive and secure working environment

Company Benefits

• Up to 34 days annual leave
• Pension scheme
• Flexible working hours
• Ongoing training
• Development opportunities

Job Type: Full-time

Salary: £50,000.00 per year

Additional pay:

• Performance bonus

Benefits:

• Flexible schedule
• Work from home

Schedule:

• Monday to (preferred)

Team, Respect, Ownership, Quality, Continuous Improvement…

Do you want to use your skills and experience to help improve the health and wellbeing of millions of people? Then we have the perfect job for you!

Bioscript is searching for a Senior / Lead Data Scientist to join its growing Data Insights team. The Senior / Lead Data Scientist manages the Bioscript Data Insights team and leads the development and execution of Data Insights within the Bioscript Group. The role is pivotal in shaping our data strategy, designing, and implementing advanced data analytics solutions and such we will be investing and growing the Data Insights Team making it the perfect time to join us on our exciting journey!

Company Information

Bioscript Group delivers global healthcare communications to a wide range of international pharmaceutical company clients across multiple therapy areas. Our agency covers the full range of medical communications, including publications, medical meetings, and digital programmes. Also offering specialist health economic and regulatory writing services, we provide many opportunities for personal and professional development. Bioscript is independently owned and has grown steadily since its inception in 2005, adding new clients and talented new staff every year. We are proud that clients we worked with in the beginning continue to work with us today.

The Role

• Lead a team of data scientists, providing mentorship, guidance, and fostering a collaborative and innovative environment.
• Excellent leadership, communication, and interpersonal skills.
• Provide supervision and mentorship to junior data scientists, fostering a culture of growth and excellence.
• Define prioritise and execute the data science strategy in alignment with the company's goals and mission.
• Collaborate with cross-functional teams to identify opportunities for data-driven insights across research, development, and commercialization.
• Communicate evolving data science strategies and outcomes clearly to stakeholders, ensuring a shared understanding.
• Convey findings to organizational decision-makers, facilitating the integration of data insights into strategic planning.
• Establish and enforce standard practices around delivery processes with version and change control.
• Stay current with emerging trends, techniques, and technologies in data science to drive innovation within the company.

Requirements

Our successful candidate will have:

• Excellent leadership, communication, and interpersonal skills.
• Ph.D. or master’s degree in data science.
• Proven track record of leading a data science team.
• Strong expertise in machine learning, statistical analysis, data mining, and data visualization techniques and tools like Dash Plotly or PowerBI.
• Proficiency in programming languages such as Python, R, and experience with relevant libraries and frameworks, and data pipeline tools like Databricks or Snowflake.
• Familiarity with database management and database design, data layout for data lakes, and data engineering best practices.
• Familiarity with biological and clinical data types and their challenges.

Why Bioscript?

We offer a comprehensive range of benefits including generous pension contributions, private healthcare cover, a performance-related bonus scheme, a range of wellbeing initiatives, 33 days holiday allowance (incl. public holidays) and more. We have offices in London, Macclesfield and Manchester so offer remote and hybrid working options.

Interested?

Please email [website] with your CV, salary expectations, your current notice period, and confirmation of your right to work in the UK.

Bioscript is committed to promoting a diverse and inclusive community - a place where we can all be ourselves and succeed on merit.

All offers of employment are subject to candidates ability to provide suitable documentary evidence of their right to work in the UK.

Job Types: Full-time, Permanent

Salary: Up to £64,000.00 per year

Benefits:

• Casual dress
• Company events
• Company pension
• Cycle to work scheme
• Enhanced maternity leave
• Enhanced paternity leave
• Flexitime
• Health & wellbeing programme
• Life insurance
• On-site parking
• Paid volunteer time
• Private medical insurance
• Referral programme
• Sick pay
• Work from home

Schedule:

• Flexitime
• Monday to Friday

Education:

• Master's (preferred)

Work Location: Remote


Reference ID: start date: 06/11/2023

Company Name:Firstplanit

Internship Title: Data Science/Engineer Summer Internship

Contact Details: Please share your CV along with your cover letter at: [website]

Company Description:On a mission is to incorporate sustainability into every building product decision in the construction industry to accelerate its green transformation rapidly. Our team consists of built environment researchers, architects, engineers, and tech experts.

Firstplanit is multi-award winning GreenTech startup. At Firstplanit, we provide designers, developers, and manufacturers with rapid insights on the Environmental, Social, Health, and Monetary impacts of building materials and products through a digital platform.

Description of Role:

Firstplanit materials library consists of thousands of building products, each meticulously analysed against over 250 data points. This rigorous evaluation methodology ensures that social, cost, and health benefits are not compromised on the journey toward a low-carbon transition. The successful candidate will contribute to the automation of data processing on the following fields:

- Data Aggregation: Automate data aggregation from numerous sources (manufacturers, research papers, databases).

- Data Standardization:Implement automated data cleaning algorithms to remove inconsistencies, errors, and duplicates. Standardize units, formats, and terminology.

- Material Characterization and Testing:Use machine learning (ML) models to predict missing material properties based on available data.

- Material Library Expansion:Simplify and speed up the process of adding new materials to the library.

Required skills/abilities

· Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.

· Knowledge of statistics and experience using statistical packages for analysing large datasets.

· Proficiency in programming languages such as Python, SQL or R

· Effective communication, collaboration, and teamwork are essential within our research and tech teams.

Preferred skills/abilities

· You approach problems with an open mind, curiosity, self-motivation, and focus.

· Awareness of sustainable building materials would be preferred but not necessary.

Benefits for the student

· Be part of an exciting early-stage multi-award-winning start-up that is radically transforming how people choose materials and products and is putting complex impact analytics in the hands of many.

· Connect and network with our global partners and clients.

· Work with international advisors who have considerable experience in the field, research and academia at leading universities and institutions (UKGBC, UCL, Imperial, Brunel University, Alliance for Sustainable Building Products)

· Be valued for your independent thoughts and ideas.

· You can work from anywhere and stay connected with the team who will support you regularly during your term.

Occupational Area:Fully remote

Financial Contribution:The successful student will receive a monthly bursary £13.15 per hour via a monthly bursary based on hours contributed towards the project.

Duration: 12 Weeks

Weekly Hours (Full Time/Part Time):Part time- 20-24 hrs/week

Start Date: As soon as possible

Location: Fully remote

Application closing date: 15th June 2024

Prospected interview date: TBD

How to Apply

The intern must be a registered student (either undergraduate or postgraduate) at any university whilst undertaking the internship (the course end date cannot occur before the internship has been completed). We encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender reassignment, sex, or sexual orientation.

Please share your CV along with your cover letter at: [website]

Please note this opportunity is part-funded by the UK Government through the Shared Prosperity Fund.

Job Types: Part-time, Internship
Contract length: 4 months

Pay: £13.15 per hour

Expected hours: 20 – 24 per week



Education:

• Bachelor's deadline: 15/06/2024