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Data Scientist Job Description: Top Duties and Qualifications

A Data Scientist, or Data Analyst, analyses raw data and turns it into meaningful information that companies can use to improve their business processes. Their primary duties include analysing large data sets, creating algorithms that manage and organise information and writing applications that translate data and identify patterns.

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Data Scientist duties and responsibilities

A Data Scientist uses a range of coding practices to build scalable data products. Some of their duties and responsibilities include:

  • Generating large databases from various sources of structured and unstructured data
  • Analysing data and generating statistical information to identify trends and patterns
  • Understanding the phases of product delivery and expert analyses across product life cycles, running the analysis for each stage and contributing to decision making
  • Using a range of programming languages to transform big data into data sets
  • Translating technical data to simple language and giving recommendations and conclusions to stakeholders
  • Developing interactive dashboards that combine visuals with real-time data
  • Building scalable machine learning pipelines and using feature engineering and optimisation methods to improve data set performance
  • Working with Technologists to integrate and separate data feeds to map, produce, transform and test new scalable data sets
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Data Scientist Job Description Examples:

Example 1

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

    • Example 2

    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

    • Example 3

    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)

    • Example 4

    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

    • Example 5

    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

    • Example 6

    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

    • What does a Data Scientist do?

    Data Scientists interpret large amounts of unorganised, raw data. They analyse and synthesise data into results and findings that are more easily understood. Data Scientists must be good at machine learning so that they can convert data into various forms and develop algorithms to solve problems. They must be proficient in a variety of computer programming languages and be capable of conducting advanced statistical analysis. They also communicate their findings to a company’s management in order to help them solve business problems or make informed business decisions.

    Data Scientist skills and qualifications

    A successful Data Scientist candidate will have various prerequisite skills and qualifications that typically include:

    • Experience in data visualisation and presenting data in graph or pictorial format
    • Proficiency in designing algorithms and using statistical and problem structuring methods
    • Ability to clean and validate data to ensure uniformity and accuracy
    • Ability to use linear and non-linear regression, logistic regression, models and classification techniques for data analysis, clustering, dimensionality reduction, k-NN and pipeline
    • Proficiency in mathematical computing
    • Interpersonal skills
    • Excellent verbal and written communication skills
    • Proficiency in various programming languages such as Java, C, Python, R along with strong coding skills

    Data Scientist experience requirements

    Data Scientist must have several years of experience using a variety of data analysis, data mining methods and data tools. They should also have years of experience using and developing algorithms, developing and implementing models and creating and running simulations. Some companies prefer candidates with experience in a particular field, such as database management, research, machine learning or artificial intelligence.

    Data Scientist education and training requirements

    Data Scientist must have at least a master’s degree in data science, data analytics, business analytics or big data, though most companies prefer candidates who have a doctoral degree. Some employers accept candidates who hold a bachelor’s degree in statistics, information technology, computer engineering, computer science or applied mathematics.

    Some large companies offer data science graduate training programmes, which usually take around two years to complete. Some programmes accept graduates from any discipline. Others specify the degree subjects they will accept. Other companies also require candidates to obtain industry-recognised certifications, such as the Institute for Direct and Digital Marketing certification and the Chartered Institute of Marketing certification.

    Data Scientist salary expectations

    According to Indeed Salaries, the average salary of a Data Scientist in the United Kingdom is £53,963 per year. This figure varies depending on factors such as, experience, geographical location and company.

    Job description samples for similar positions

    Other job description samples are available if this is not quite what you’re looking for:

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    Data Scientist job description FAQs

    What is the difference between a Data Scientist and a Data Analyst?

    A Data Analyst figures out what happens to make certain outcomes occur, for instance, why sales dropped. They also create dashboards to support the key performance indicators (KPIs) of the company. A Data Scientist works with what will, or what could happen. To determine answers, they use data modelling techniques and big data frameworks.

    How can you make your Data Scientist job description stand out?

    Open with an attention-catching summary and include what makes your company unique. State the exact location of the job, so it appears higher in a job search. Outline core responsibilities using bullet points and give information on how the position fits into the company and how data mining is used.

    What are the different types of Data Scientists?

    There are many different types of Data Scientists. These include Reporting and ETL Analysts, who focus on extracting data and generating reports or dashboards, Data Science Generalists, who focus on using statistical and machine learning techniques to create models, solve business problems and generate insights and Machine Learning Research Data Scientists, who focus on applying machine learning techniques to develop and implement models, which an emphasis on research and development. Other types of Data Scientists include Machine Learning Software Engineers or Data Science Specialists.

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